{"schema":"https://schema.org/ItemList","name":"Ligera AI Agent Skills Catalog","description":"Evidence-first Agent Skills with explicit problems, workflows, deliverables, examples and human-control boundaries.","version":"3.2.0","currency":"USD","last_verified_at":"2026-08-30","license":"Individual commercial-use license; redistribution and resale require a separate agreement.","compatibility":["Agent Skills-compatible workspaces","ChatGPT","Codex","OpenAI API workflows"],"checkout_status":"stripe-checkout-integrated-configuration-required","checkout_endpoint":"https://ligera-ai-market.juliandebedout.chatgpt.site/api/checkout","supported_languages":["en","es","pt","fr","de"],"product_types":["agent-skills","digital-books","video-express","managed-agent-systems"],"business_lines":[{"id":"skills","name":"Agent Skills","offerType":"digital_product","status":"active","priceModel":"one_time_license","startingPriceUsd":149,"href":"#skill-catalog","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/#skill-catalog"},{"id":"books","name":"Digital Books","offerType":"digital_publishing","status":"prelaunch","priceModel":"one_time_purchase","startingPriceUsd":null,"href":"mailto:hello@ligera.ai?subject=Ligera%20AI%20books%20early%20access","url":"mailto:hello@ligera.ai?subject=Ligera%20AI%20books%20early%20access"},{"id":"video","name":"Video Express","offerType":"productized_service","status":"pilot","priceModel":"per_package_or_subscription","startingPriceUsd":39,"href":"#video-express","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/#video-express"},{"id":"systems","name":"Managed Agent Systems","offerType":"b2b_implementation","status":"scoped_service","priceModel":"project_plus_optional_support","startingPriceUsd":null,"href":"mailto:hello@ligera.ai?subject=Managed%20Agent%20System","url":"mailto:hello@ligera.ai?subject=Managed%20Agent%20System"}],"human_catalog_url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills","products":[{"slug":"security-questionnaire-operator","name":"Security Questionnaire Operator","category":"Security assurance · B2B sales","buyer":"B2B SaaS security, GRC and presales teams","outcome":"Traceable questionnaire drafts grounded in approved company evidence, with unsupported claims routed for review.","description":"Accelerate customer security reviews without inventing controls, certifications or product commitments.","oneTimePrice":249,"monthlyPrice":79,"stage":"catalog","icon":"SQ","accent":"lime","badge":"Best first buy","problem":"Customer security reviews consume days of specialist time, while rushed answers can create unsupported commitments or contradict approved evidence.","workflow":[{"title":"Collect","text":"Reads the questionnaire, approved policies, control evidence and prior authorized answers."},{"title":"Draft","text":"Maps each question to evidence, drafts a scoped response and marks confidence or missing proof."},{"title":"Review","text":"Routes unsupported claims, customer-specific commitments and owner decisions to the right reviewer."}],"deliverables":["Completed response draft","Question-to-evidence map","Unsupported-claim and gap register","Reviewer action list"],"use_when":"Use it when a prospect sends a security questionnaire, due-diligence workbook or trust review that must be answered from approved company facts.","boundary":"It does not invent controls, certify compliance, accept contractual commitments or submit the final response without approval.","example":"A SaaS vendor receives a 220-question workbook. The skill reuses approved evidence, flags 18 questions that need security-owner input and produces a traceable review draft.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/security-questionnaire-operator","one_time_price":249,"monthly_price":79,"purchasable":true,"visual_explanation":{"symbol":"✓","input":"Evidence","action":"Draft","output":"Review","caption":"Turns approved security evidence into traceable questionnaire answers and routes unsupported claims."}},{"slug":"rfp-response-operator","name":"RFP Response Operator","category":"Revenue operations","buyer":"Enterprise sales, proposal and consulting teams","outcome":"A requirement-complete, buyer-specific proposal package with owners, gaps and review gates.","description":"Find deal-breaking requirements early and keep fluent prose from hiding a mandatory gap.","oneTimePrice":299,"monthlyPrice":99,"stage":"catalog","icon":"RF","accent":"violet","problem":"RFP teams lose deals when mandatory requirements hide inside long documents, ownership is unclear or polished prose masks a real capability gap.","workflow":[{"title":"Decompose","text":"Extracts every requirement, deadline, scoring cue, attachment and submission rule."},{"title":"Map","text":"Connects requirements to approved evidence, differentiators, owners and known gaps."},{"title":"Assemble","text":"Builds the response package, compliance matrix and review gates for final approval."}],"deliverables":["Requirement compliance matrix","Buyer-specific response draft","Evidence and attachment register","Gap, owner and deadline tracker"],"use_when":"Use it for formal RFPs, RFIs, tenders and complex proposal requests where completeness matters as much as writing quality.","boundary":"It does not fabricate capabilities, pricing, references or legal acceptance, and it does not submit a bid autonomously.","example":"A consulting firm receives a 90-page RFP. The skill identifies 74 answerable requirements, 9 gaps and 6 legal-review items before the proposal is assembled.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/rfp-response-operator","one_time_price":299,"monthly_price":99,"purchasable":true,"visual_explanation":{"symbol":"R","input":"Requirements","action":"Compose","output":"Proposal","caption":"Maps every buyer requirement to an owned, review-ready proposal response."}},{"slug":"govern-ai-inventory","name":"Govern AI Inventory","category":"AI governance","buyer":"Legal, risk, compliance, security and AI product teams","outcome":"A living, evidence-backed inventory of models, agents, data, vendors, permissions, risks and owners.","description":"Create a current AI system of record without falsely claiming legal classification or compliance.","oneTimePrice":399,"monthlyPrice":149,"stage":"catalog","icon":"AI","accent":"cyan","badge":"Enterprise","problem":"Organizations cannot govern AI they cannot see: model, agent, vendor, data and permission records are usually scattered across teams and become outdated quickly.","workflow":[{"title":"Discover","text":"Collects approved system records, owners, vendors, models, data flows and business uses."},{"title":"Normalize","text":"Creates consistent records for purpose, authority, risk evidence, lifecycle state and dependencies."},{"title":"Govern","text":"Flags missing owners, stale evidence, review triggers and unresolved governance questions."}],"deliverables":["Living AI system inventory","Ownership and dependency map","Evidence and review-gap register","Lifecycle and update workflow"],"use_when":"Use it when legal, security or product teams need one current view of deployed and proposed AI systems.","boundary":"It does not determine legal classification, certify compliance or replace the accountable risk and legal owners.","example":"A company consolidates 37 AI uses from spreadsheets and vendor lists into one inventory, revealing six systems with no owner and four with undocumented data access.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/govern-ai-inventory","one_time_price":399,"monthly_price":149,"purchasable":true,"visual_explanation":{"symbol":"AI","input":"Systems","action":"Inventory","output":"Owners","caption":"Creates a living record of models, agents, data, vendors, risks and accountable owners."}},{"slug":"finops-action-operator","name":"FinOps Action Operator","category":"Cloud · Finance","buyer":"Finance, engineering, platform, procurement and FinOps teams","outcome":"Assigned, risk-aware savings actions with implementation checks and realized-savings verification.","description":"Turn cloud, SaaS and AI cost exports into owned actions instead of another unowned report.","oneTimePrice":349,"monthlyPrice":129,"stage":"catalog","icon":"FO","accent":"orange","problem":"Cloud and SaaS cost reports identify waste but often fail to turn it into safe, assigned and verifiably completed savings work.","workflow":[{"title":"Analyze","text":"Reads billing exports, usage records, contracts and approved cost-allocation rules."},{"title":"Prioritize","text":"Ranks savings candidates by value, effort, operational risk, dependency and owner."},{"title":"Verify","text":"Tracks approved actions and compares expected savings with realized billing evidence."}],"deliverables":["Prioritized savings backlog","Owner and dependency assignments","Implementation checklists","Realized-savings verification ledger"],"use_when":"Use it after a cloud, SaaS or AI cost review produces many recommendations but no controlled action process.","boundary":"It does not terminate resources, change commitments, purchase plans or claim savings before billing evidence confirms them.","example":"A platform team turns a monthly cost export into 14 ranked actions, excludes production-risk changes and verifies which savings appear on the next invoice.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/finops-action-operator","one_time_price":349,"monthly_price":129,"purchasable":true,"visual_explanation":{"symbol":"$","input":"Spend","action":"Analyze","output":"Savings","caption":"Converts cloud and software cost exports into assigned, verifiable savings actions."}},{"slug":"agent-release-gate","name":"Agent Release Gate","category":"Agent assurance · Release governance","buyer":"Heads of AI, engineering managers, product operations and risk owners","outcome":"A versioned go, conditional or no-go decision backed by evaluation, authority, privacy, reliability, cost and recovery evidence.","description":"Replace launch-by-demo with reproducible hard gates, named owners and an auditable remediation path.","oneTimePrice":349,"monthlyPrice":149,"stage":"validation","icon":"RG","accent":"violet","badge":"Market-backed pilot","useWhen":"Use before pilot, production, authority expansion or re-release after an incident.","deliverables":["Machine-readable release candidate","Evidence index and hard-gate results","Versioned release decision","Owned remediation and re-review plan"],"boundary":"It evaluates a frozen candidate; it does not deploy the agent, issue a certification or replace accountable release approval.","problem":"Agents are often approved from a convincing demo without reproducible evidence about accuracy, permissions, privacy, reliability, cost or recovery behavior.","workflow":[{"title":"Freeze","text":"Defines the exact agent version, business scope, tools, data, owners and evaluation evidence under review."},{"title":"Gate","text":"Tests required hard gates and records pass, fail, waiver, evidence quality and accountable owner."},{"title":"Decide","text":"Issues a go, conditional or no-go decision with remediation and re-review triggers."}],"use_when":"Use it before a pilot, production launch, authority expansion or re-release after a material incident.","example":"An operations agent passes task accuracy but fails recovery and permission-scope gates, producing a conditional decision with two named fixes before release.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/agent-release-gate","one_time_price":349,"monthly_price":149,"purchasable":false,"visual_explanation":{"symbol":"G","input":"Evidence","action":"Gate","output":"Decide","caption":"Applies reproducible hard gates to a frozen agent candidate before pilot or production."}},{"slug":"agent-access-review","name":"Agent Access Review","category":"Agent assurance · Security","buyer":"Security, IAM, procurement and AI governance teams","outcome":"A read-only inventory of effective agent authority with permission diffs, evidence, approval conditions and residual risk.","description":"Decide what an agent may read, change, send, spend or execute before connecting it to real systems.","oneTimePrice":299,"monthlyPrice":119,"stage":"validation","icon":"AR","accent":"cyan","badge":"Market-backed pilot","useWhen":"Use before installing or connecting an agent, skill, plugin, MCP server or automation to business systems.","deliverables":["Effective-authority matrix","Requested-versus-recommended permission diff","Evidence-backed approval decision","Conditions, residual risk and expiry triggers"],"boundary":"The review is read-only and scoped to the frozen artifact; it is not penetration testing or a guarantee of benign behavior.","problem":"An agent can accumulate more effective authority than any single permission screen reveals across tools, credentials, delegated identities and downstream actions.","workflow":[{"title":"Inventory","text":"Maps identities, tools, credentials, data, egress paths and possible side effects without executing the artifact."},{"title":"Compare","text":"Contrasts requested authority with the minimum needed for the stated business task."},{"title":"Condition","text":"Produces an approval decision, permission reductions, controls, residual risk and expiry triggers."}],"use_when":"Use it before connecting an agent, skill, plugin, MCP server or automation to business systems.","example":"A proposed sales agent needs CRM read access but requests mailbox send and file deletion. The review isolates the excess authority and proposes a narrower connection.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/agent-access-review","one_time_price":299,"monthly_price":119,"purchasable":false,"visual_explanation":{"symbol":"A","input":"Authority","action":"Review","output":"Approve","caption":"Maps identities, data, tools, egress and side effects into a least-privilege decision."}},{"slug":"sop-to-agent-evals","name":"SOP to Agent Evals","category":"Agent assurance · Evaluation","buyer":"AI product, QA, operations and risk teams","outcome":"A portable evaluation suite that traces approved procedures to atomic requirements, cases, graders and release thresholds.","description":"Turn real SOPs and policies into tests that business owners can review and agent teams can run.","oneTimePrice":249,"monthlyPrice":99,"stage":"validation","icon":"EV","accent":"lime","badge":"Market-backed pilot","useWhen":"Use when a real procedure, policy or known failure must become a portable agent test suite.","deliverables":["Source and requirement register","Capability and safety test cases","Deterministic, trace, rubric or human graders","Coverage report and release thresholds"],"boundary":"It defines and validates the evaluation package; it does not claim the target agent passed until an authorized harness runs it.","problem":"Generic benchmarks do not show whether an agent follows the actual procedures, policies and failure controls that matter to a business.","workflow":[{"title":"Trace","text":"Turns approved SOP clauses, policies and known failures into atomic source-linked requirements."},{"title":"Design","text":"Creates normal, edge, refusal and recovery cases with the appropriate graders."},{"title":"Set gates","text":"Measures coverage gaps and defines thresholds the release process can apply."}],"use_when":"Use it when a real procedure, policy or known failure must become a portable agent test suite.","example":"A refund SOP becomes 28 traceable test cases, including missing evidence, limit breaches and mandatory human escalation.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/sop-to-agent-evals","one_time_price":249,"monthly_price":99,"purchasable":false,"visual_explanation":{"symbol":"E","input":"SOP","action":"Trace","output":"Test","caption":"Converts approved procedures into portable cases, graders, coverage and release thresholds."}},{"slug":"accounts-payable-exception-operator","name":"AP Exception Operator","category":"Finance operations","buyer":"Controllers, accounts-payable teams and accounting firms","outcome":"A prioritized invoice exception ledger covering matching, duplicates, coding, tax and approval blockers.","description":"Clear safe AP work faster without executing payments or changing vendor bank details.","oneTimePrice":299,"monthlyPrice":99,"stage":"validation","icon":"AP","accent":"lime","problem":"AP teams spend valuable time opening invoices one by one to discover missing receipts, duplicates, mismatches, tax issues and approval blockers.","workflow":[{"title":"Match","text":"Compares invoices with purchase orders, receipts, vendor records and approved accounting rules."},{"title":"Triage","text":"Groups exceptions by type, value, risk, due date, evidence and responsible owner."},{"title":"Clear","text":"Prepares the safe next action and a complete review trail for each blocked invoice."}],"deliverables":["Prioritized exception ledger","Duplicate and mismatch candidates","Missing-evidence requests","Owner-ready resolution queue"],"use_when":"Use it when invoice volume is high and the team needs to focus on exceptions instead of manually checking every record.","boundary":"It does not release payments, edit vendor bank data, create accounting entries or decide disputed tax treatment.","example":"From 1,200 invoices, the skill isolates 83 exceptions, groups the causes and prepares owner-specific queues without touching the payment system.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/accounts-payable-exception-operator","one_time_price":299,"monthly_price":99,"purchasable":false,"visual_explanation":{"symbol":"AP","input":"Invoices","action":"Triage","output":"Clear","caption":"Prioritizes invoice exceptions while keeping payments and vendor data under human control."}},{"slug":"vendor-onboarding-control","name":"Vendor Onboarding Control","category":"Procurement · GRC","buyer":"Procurement, finance, security and vendor-risk teams","outcome":"A controlled supplier packet with requirements, gaps, expirations, conflicts and accountable owners.","description":"Coordinate fragmented onboarding evidence without approving vendors or modifying payment details.","oneTimePrice":349,"monthlyPrice":129,"stage":"validation","icon":"VO","accent":"violet","problem":"Supplier onboarding stalls because tax, banking, security, insurance, conflict and approval evidence sits in separate inboxes and spreadsheets.","workflow":[{"title":"Define","text":"Builds the requirement set for the vendor type, geography, risk tier and requested access."},{"title":"Validate","text":"Checks submitted evidence for completeness, consistency, expiry and unresolved conflicts."},{"title":"Route","text":"Creates an owner-based gap plan and a decision-ready onboarding packet."}],"deliverables":["Supplier requirement matrix","Evidence and expiry register","Conflict and gap log","Approval-ready onboarding packet"],"use_when":"Use it when procurement needs a repeatable onboarding record before a supplier can be approved or connected.","boundary":"It does not approve vendors, validate banking ownership, modify payment details or waive security and legal requirements.","example":"A software supplier packet reveals an expired insurance certificate, missing subprocessors and a bank-detail change that requires independent verification.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/vendor-onboarding-control","one_time_price":349,"monthly_price":129,"purchasable":false,"visual_explanation":{"symbol":"V","input":"Vendor docs","action":"Verify","output":"Ready","caption":"Checks supplier packets for missing, conflicting or expiring evidence before approval."}},{"slug":"contract-obligation-tracker","name":"Contract Obligation Tracker","category":"Contract operations","buyer":"Legal operations, procurement and finance teams","outcome":"A citation-backed register of obligations, notices, renewals, service levels and dependencies.","description":"Turn executed agreements and amendments into operational follow-through without autonomous legal interpretation.","oneTimePrice":399,"monthlyPrice":149,"stage":"validation","icon":"CO","accent":"cyan","problem":"Signed contracts become static files while notices, renewals, service levels, price changes and reporting duties are missed in daily operations.","workflow":[{"title":"Extract","text":"Reads executed agreements and amendments to capture operational obligations with source citations."},{"title":"Connect","text":"Links dates, dependencies, counterparties, owners, evidence and notice requirements."},{"title":"Monitor","text":"Produces a review calendar and flags conflicts, missing ownership and approaching obligations."}],"deliverables":["Cited obligation register","Critical-date and notice calendar","Owner and dependency map","Conflict and amendment log"],"use_when":"Use it after execution or during portfolio review when contract commitments must become owned operational work.","boundary":"It does not provide legal advice, resolve ambiguous clauses, send notices or approve a contractual position.","example":"A master agreement and three amendments become one register showing the current renewal date, notice window, SLA credits and responsible owners.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/contract-obligation-tracker","one_time_price":399,"monthly_price":149,"purchasable":false,"visual_explanation":{"symbol":"§","input":"Agreements","action":"Extract","output":"Track","caption":"Finds cited obligations, notices, renewals and service commitments across contracts."}},{"slug":"privacy-rights-request-operator","name":"Privacy Rights Request Operator","category":"Privacy operations","buyer":"Privacy, legal and compliance teams","outcome":"A deadline-aware DSR or DSAR file with evidence collection, review, redaction and response readiness.","description":"Coordinate privacy requests while keeping identity decisions, legal determinations and deletion approvals with authorized owners.","oneTimePrice":449,"monthlyPrice":179,"stage":"validation","icon":"PR","accent":"orange","badge":"Regulated","problem":"Privacy requests cross identity, legal, data, security and business teams, creating deadline risk and an incomplete evidence trail.","workflow":[{"title":"Open","text":"Creates a controlled case with request type, jurisdiction cues, identity status and deadline inputs."},{"title":"Coordinate","text":"Builds a data-source search plan, records responses and tracks review, redaction and exceptions."},{"title":"Prepare","text":"Assembles a response-ready file with decisions reserved for authorized privacy owners."}],"deliverables":["Deadline-aware case record","Data-source and evidence tracker","Review and redaction checklist","Response-readiness packet"],"use_when":"Use it to coordinate access, deletion, correction or similar privacy-rights requests across multiple systems and owners.","boundary":"It does not verify identity, determine applicable law, approve deletion, apply legal exceptions or send the final response.","example":"A deletion request is mapped to seven systems, with identity verification pending and one legal-hold question routed before any action occurs.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/privacy-rights-request-operator","one_time_price":449,"monthly_price":179,"purchasable":false,"visual_explanation":{"symbol":"P","input":"Request","action":"Coordinate","output":"Respond","caption":"Coordinates privacy-request evidence, deadlines, redaction review and response readiness."}},{"slug":"customer-support-qa-operator","name":"Customer Support QA Operator","category":"Customer support","buyer":"Support, QA and contact-center teams","outcome":"Reproducible quality findings, severe-case routing and defect patterns grounded in conversation evidence.","description":"Evaluate human and AI support interactions against an approved scorecard without automating discipline.","oneTimePrice":249,"monthlyPrice":99,"stage":"validation","icon":"QA","accent":"blue","problem":"Manual QA samples too few conversations and inconsistent reviewers miss repeat defects, severe cases and coaching evidence.","workflow":[{"title":"Score","text":"Evaluates selected human or AI interactions against the approved quality rubric."},{"title":"Evidence","text":"Links every finding to conversation excerpts, policy criteria and confidence."},{"title":"Improve","text":"Routes severe cases and summarizes repeat defects, coaching themes and process opportunities."}],"deliverables":["Conversation-level QA scorecards","Evidence-linked findings","Severe-case escalation queue","Defect and coaching trend report"],"use_when":"Use it for recurring quality reviews of support conversations, especially when human and AI interactions share one standard.","boundary":"It does not discipline employees, change compensation, contact customers or replace authorized HR and support decisions.","example":"A weekly sample shows that refund explanations are accurate but escalation timing fails in 22% of reviewed cases, with evidence for coaching.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/customer-support-qa-operator","one_time_price":249,"monthly_price":99,"purchasable":false,"visual_explanation":{"symbol":"QA","input":"Conversations","action":"Score","output":"Improve","caption":"Evaluates support interactions with a calibrated scorecard and traceable defect evidence."}},{"slug":"incident-postmortem-operator","name":"Incident Postmortem Operator","category":"Incident management","buyer":"Engineering, SRE and security teams","outcome":"A blameless, evidence-backed timeline with impact, contributing conditions and controlled corrective actions.","description":"Create postmortems that support learning and verification without inventing root causes.","oneTimePrice":299,"monthlyPrice":99,"stage":"validation","icon":"IP","accent":"pink","problem":"Incident facts are scattered across alerts, tickets and chat, so postmortems become slow, speculative or focused on blame instead of prevention.","workflow":[{"title":"Reconstruct","text":"Builds a timestamped event and decision timeline from approved incident evidence."},{"title":"Analyze","text":"Separates observed facts, hypotheses, impact and contributing technical or organizational conditions."},{"title":"Control","text":"Creates corrective actions with owners, verification criteria and follow-up dates."}],"deliverables":["Evidence-backed incident timeline","Impact and contributing-condition analysis","Open-question register","Owned corrective-action plan"],"use_when":"Use it after reliability, security or operational incidents that require a consistent learning record.","boundary":"It does not invent a root cause, assign personal blame, close the incident or approve production changes.","example":"Alerts, deployment logs and incident chat become a single timeline that distinguishes a confirmed trigger from two unproven contributing hypotheses.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/incident-postmortem-operator","one_time_price":299,"monthly_price":99,"purchasable":false,"visual_explanation":{"symbol":"!","input":"Signals","action":"Timeline","output":"Learn","caption":"Reconstructs a blameless incident timeline and controlled corrective actions."}},{"slug":"insurance-claim-intake-operator","name":"Insurance Claim Intake Operator","category":"Insurance claims","buyer":"Insurers, MGAs and claims operations teams","outcome":"A complete first-notice-of-loss packet with evidence gaps and routing for authorized adjusters.","description":"Convert scattered claim intake into a traceable case file without making coverage or settlement decisions.","oneTimePrice":499,"monthlyPrice":199,"stage":"validation","icon":"IC","accent":"yellow","problem":"First notice of loss arrives through calls, forms, images and documents, forcing adjusters to chase basic facts before substantive review can begin.","workflow":[{"title":"Capture","text":"Normalizes claimant, policy, event, property, party and contact information from approved intake sources."},{"title":"Check","text":"Identifies missing evidence, inconsistencies, urgent indicators and routing requirements."},{"title":"Package","text":"Creates a traceable first-notice file for an authorized claims professional."}],"deliverables":["Normalized FNOL record","Evidence and inconsistency log","Missing-information request list","Adjuster-ready intake packet"],"use_when":"Use it at claim intake when information is fragmented and adjusters need a complete, consistent starting file.","boundary":"It does not determine coverage, liability, fraud, reserves or settlement, and it does not communicate a claim decision.","example":"A property-loss intake combines a call transcript, form and photos, flags the missing incident report and routes the complete packet to the assigned adjuster.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/insurance-claim-intake-operator","one_time_price":499,"monthly_price":199,"purchasable":false,"visual_explanation":{"symbol":"C","input":"Claim","action":"Complete","output":"Route","caption":"Builds a complete first-notice-of-loss packet for an authorized adjuster."}},{"slug":"prior-authorization-packager","name":"Prior Authorization Packager","category":"Healthcare operations","buyer":"Healthcare providers, revenue-cycle teams and payers","outcome":"A payer-requirement matrix mapped to approved clinical records, with missing evidence routed for review.","description":"Prepare authorization documentation without making diagnosis, treatment, eligibility or medical-necessity decisions.","oneTimePrice":599,"monthlyPrice":249,"stage":"validation","icon":"PA","accent":"red","badge":"Regulated","problem":"Authorization requests are delayed when payer rules, clinical records, codes and supporting evidence are not assembled into one reviewable package.","workflow":[{"title":"Map","text":"Builds a requirement matrix from the applicable payer guidance and approved request details."},{"title":"Link","text":"Connects each requirement to authorized clinical evidence and identifies missing support."},{"title":"Prepare","text":"Creates a review packet and routes medical, coding and eligibility decisions to qualified owners."}],"deliverables":["Payer requirement matrix","Clinical evidence crosswalk","Missing-document and decision queue","Submission-ready review packet"],"use_when":"Use it before a prior-authorization submission or resubmission that requires evidence from several records and owners.","boundary":"It does not diagnose, recommend treatment, determine medical necessity or eligibility, sign attestations or submit without review.","example":"For an imaging request, the skill maps the payer checklist to the chart, identifies one missing conservative-treatment record and prepares the reviewer packet.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/prior-authorization-packager","one_time_price":599,"monthly_price":249,"purchasable":false,"visual_explanation":{"symbol":"+","input":"Records","action":"Map","output":"Review","caption":"Maps payer requirements to approved clinical records without making medical decisions."}},{"slug":"construction-rfi-operator","name":"Construction RFI Operator","category":"Construction controls","buyer":"General contractors, specialty contractors and project-controls teams","outcome":"A concise, traceable RFI draft grounded in current drawings, specifications and field observations.","description":"Reduce clarification delay without embedding unapproved design direction or contract changes.","oneTimePrice":349,"monthlyPrice":129,"stage":"validation","icon":"RF","accent":"lime","problem":"Field questions become delays or change disputes when drawings, specifications, observations and requested clarification are not tied together precisely.","workflow":[{"title":"Locate","text":"Identifies the current drawing, specification, submittal, field condition and affected work."},{"title":"Clarify","text":"Separates the observed conflict from assumptions and drafts one answerable question."},{"title":"Control","text":"Packages citations, schedule impact cues, attachments and required reviewer approval."}],"deliverables":["Concise RFI draft","Drawing and specification citations","Field-evidence register","Impact and reviewer-routing notes"],"use_when":"Use it when site teams find ambiguous, conflicting or missing design information that needs formal clarification.","boundary":"It does not issue design direction, approve substitutions, authorize change orders or alter contract requirements.","example":"A duct conflicts with a structural beam. The skill cites the current sheets, records the field condition and drafts a focused clarification request.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/construction-rfi-operator","one_time_price":349,"monthly_price":129,"purchasable":false,"visual_explanation":{"symbol":"RFI","input":"Plans","action":"Draft","output":"Resolve","caption":"Turns drawings, specifications and field observations into a traceable RFI draft."}},{"slug":"capa-evidence-operator","name":"CAPA Evidence Operator","category":"Quality management","buyer":"Quality, medical-device and pharmaceutical teams","outcome":"A controlled CAPA working file with evidence, hypotheses, actions, owners and effectiveness checks.","description":"Structure corrective and preventive action records without replacing quality-unit approval.","oneTimePrice":599,"monthlyPrice":249,"stage":"validation","icon":"CA","accent":"violet","badge":"Regulated","problem":"CAPA files weaken when evidence, hypotheses, containment, corrective actions and effectiveness checks are mixed together or poorly traced.","workflow":[{"title":"Structure","text":"Organizes the issue, scope, evidence, containment and applicable quality requirements."},{"title":"Test","text":"Separates confirmed causes from hypotheses and links actions to the conditions they address."},{"title":"Verify","text":"Defines owners, due dates, effectiveness evidence and quality-unit review gates."}],"deliverables":["Controlled CAPA working file","Evidence and hypothesis register","Action-to-cause traceability matrix","Effectiveness-check plan"],"use_when":"Use it to prepare or repair a CAPA record that must remain auditable across investigation, action and effectiveness review.","boundary":"It does not determine root cause without evidence, approve CAPA, release product or replace quality-unit authority.","example":"A repeat deviation is separated into verified observations and three hypotheses, with tests and action owners defined before quality review.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/capa-evidence-operator","one_time_price":599,"monthly_price":249,"purchasable":false,"visual_explanation":{"symbol":"C","input":"Evidence","action":"Correct","output":"Verify","caption":"Structures quality evidence, corrective actions, owners and effectiveness checks."}},{"slug":"freight-audit-operator","name":"Freight Audit Operator","category":"Logistics · Finance","buyer":"Shippers, accounts-payable teams and 3PL operators","outcome":"A shipment-matched variance ledger and evidence-backed dispute candidates.","description":"Reconcile freight invoices without executing payment, filing claims or autonomously interpreting rates.","oneTimePrice":399,"monthlyPrice":149,"stage":"validation","icon":"FA","accent":"cyan","problem":"Freight invoices are difficult to reconcile against shipments, contracts and accessorial evidence, allowing overcharges or false disputes to pass unnoticed.","workflow":[{"title":"Match","text":"Links invoices to shipments, tenders, delivery records, rate tables and approved contract terms."},{"title":"Compare","text":"Calculates documented variances and separates likely errors from missing evidence."},{"title":"Prepare","text":"Creates review-ready dispute candidates with value, rationale, citations and owner."}],"deliverables":["Shipment-to-invoice match ledger","Charge variance analysis","Missing-evidence queue","Evidence-backed dispute candidates"],"use_when":"Use it for recurring parcel, LTL, FTL or ocean freight invoice review before payment or dispute preparation.","boundary":"It does not interpret ambiguous rates as legal fact, execute payment, file claims or send disputes without authorization.","example":"The skill matches 640 freight invoices, isolates duplicate fuel surcharges and identifies accessorial charges that lack delivery evidence.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/freight-audit-operator","one_time_price":399,"monthly_price":149,"purchasable":false,"visual_explanation":{"symbol":"F","input":"Shipments","action":"Match","output":"Recover","caption":"Matches shipment evidence to carrier invoices and identifies supportable variances."}},{"slug":"retail-catalog-qc","name":"Retail Catalog QC","category":"Retail · PIM","buyer":"Retailers, marketplaces and consumer brands","outcome":"A SKU-level readiness report for taxonomy, attributes, variants, images and approved claims.","description":"Validate product content against channel rules before syndication or publication.","oneTimePrice":299,"monthlyPrice":99,"stage":"validation","icon":"RC","accent":"orange","problem":"Product listings fail channel review or confuse shoppers when taxonomy, variants, claims, attributes and images are incomplete or inconsistent.","workflow":[{"title":"Normalize","text":"Maps product data to the approved taxonomy, attribute and variant structure."},{"title":"Validate","text":"Checks required fields, image rules, claim evidence, conflicts and channel-specific constraints."},{"title":"Release","text":"Produces a SKU readiness decision and an owner-based correction queue before syndication."}],"deliverables":["SKU readiness report","Attribute and taxonomy gap log","Variant and image defect list","Claim-evidence and correction queue"],"use_when":"Use it before publishing or syndicating a product catalog to a marketplace, retailer or ecommerce channel.","boundary":"It does not invent product facts or claims, alter master data autonomously or publish listings without approval.","example":"Before a marketplace launch, the skill finds 46 missing required attributes, 12 broken variant groups and 8 unsupported sustainability claims.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/retail-catalog-qc","one_time_price":299,"monthly_price":99,"purchasable":false,"visual_explanation":{"symbol":"SKU","input":"Catalog","action":"Validate","output":"Publish","caption":"Checks product attributes, variants, images and claims before channel publication."}},{"slug":"ecommerce-returns-analyst","name":"Ecommerce Returns Analyst","category":"Ecommerce analytics","buyer":"Ecommerce, product and merchandising teams","outcome":"A quantified view of return drivers, revenue reversal and controlled product or policy experiments.","description":"Turn returns exports into decisions without making customer-level fraud judgments or automatic refunds.","oneTimePrice":199,"monthlyPrice":79,"stage":"validation","icon":"ER","accent":"blue","problem":"Returns exports show transactions, not why products come back or which controlled product, content or policy change deserves testing.","workflow":[{"title":"Quantify","text":"Normalizes return reasons, products, cohorts, channels, timing and revenue reversal."},{"title":"Diagnose","text":"Finds repeat patterns while separating correlation, evidence gaps and alternative explanations."},{"title":"Experiment","text":"Ranks reversible product, merchandising or policy tests with owners and success measures."}],"deliverables":["Return-driver analysis","SKU and cohort opportunity ranking","Revenue-reversal view","Controlled experiment backlog"],"use_when":"Use it when returns are material but the team lacks an explainable link from exported data to prioritized action.","boundary":"It does not label individual customers as fraudulent, issue refunds, change policies or claim causation without evidence.","example":"The analysis shows one size guide drives disproportionate exchanges on mobile, leading to a measured content experiment rather than a blanket policy change.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/ecommerce-returns-analyst","one_time_price":199,"monthly_price":79,"purchasable":false,"visual_explanation":{"symbol":"↩","input":"Returns","action":"Analyze","output":"Reduce","caption":"Quantifies return drivers and proposes controlled product or policy experiments."}},{"slug":"lease-abstraction-control","name":"Lease Abstraction Control","category":"Commercial real estate","buyer":"Real-estate, legal and accounting teams","outcome":"A cited lease abstract, rent schedule and critical-date register that survives amendments.","description":"Extract lease facts with source citations while keeping legal and accounting judgments with reviewers.","oneTimePrice":449,"monthlyPrice":179,"stage":"validation","icon":"LA","accent":"pink","problem":"Lease facts are manually copied into spreadsheets and become unreliable when amendments change rent, options, notices and critical dates.","workflow":[{"title":"Extract","text":"Captures defined lease fields from executed documents with page and clause citations."},{"title":"Reconcile","text":"Applies amendments in sequence and flags conflicts, ambiguity and missing documents."},{"title":"Control","text":"Builds the abstract, rent schedule and critical-date register for expert review."}],"deliverables":["Citation-backed lease abstract","Rent and escalation schedule","Critical-date and notice register","Amendment and ambiguity log"],"use_when":"Use it during lease onboarding, portfolio migration, audit preparation or review after an amendment.","boundary":"It does not provide legal or accounting advice, resolve ambiguous clauses or post entries to financial systems.","example":"A lease plus two amendments becomes one current abstract that shows the revised rent steps and corrected renewal notice window with citations.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/lease-abstraction-control","one_time_price":449,"monthly_price":179,"purchasable":false,"visual_explanation":{"symbol":"L","input":"Lease docs","action":"Abstract","output":"Track","caption":"Creates cited lease abstracts, rent schedules and critical-date registers."}},{"slug":"property-maintenance-triage","name":"Property Maintenance Triage","category":"Property operations","buyer":"Property managers and facilities teams","outcome":"A complete work-order draft with emergency indicators, evidence, priority rationale and safe routing.","description":"Convert tenant requests into actionable intake without diagnosing, dispatching or approving spend.","oneTimePrice":249,"monthlyPrice":99,"stage":"validation","icon":"PM","accent":"yellow","problem":"Tenant messages often lack location, access, safety and asset details, causing slow dispatch, duplicate work and avoidable back-and-forth.","workflow":[{"title":"Capture","text":"Extracts issue, property, unit, asset, symptoms, access constraints and available evidence."},{"title":"Triage","text":"Checks approved emergency indicators, duplicates, dependencies and priority rationale."},{"title":"Route","text":"Creates a complete work-order draft for an authorized dispatcher or facilities owner."}],"deliverables":["Complete work-order draft","Emergency-indicator checklist","Evidence and duplicate record","Priority rationale and routing recommendation"],"use_when":"Use it when maintenance requests arrive by email, chat, form or call and need consistent intake before dispatch.","boundary":"It does not diagnose hazards, dispatch vendors, enter occupied units, approve spend or promise completion times.","example":"A message saying “water near the heater” becomes a structured urgent-review case with unit, photos, access status and missing shutoff information.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/property-maintenance-triage","one_time_price":249,"monthly_price":99,"purchasable":false,"visual_explanation":{"symbol":"M","input":"Request","action":"Triage","output":"Dispatch","caption":"Turns maintenance requests into complete, safely prioritized work-order drafts."}},{"slug":"customer-renewal-risk-operator","name":"Customer Renewal Risk Operator","category":"Customer success","buyer":"Customer-success and revenue teams","outcome":"A ranked renewal worklist with explainable signals, counter-signals, evidence gaps and owner actions.","description":"Build a defendable renewal view without opaque health scores, autonomous outreach or unsupported forecasts.","oneTimePrice":349,"monthlyPrice":129,"stage":"validation","icon":"CR","accent":"red","problem":"Renewal teams rely on opaque health scores or scattered anecdotes, making it hard to explain risk and assign the next best action.","workflow":[{"title":"Combine","text":"Brings together approved usage, support, commercial, relationship and outcome evidence."},{"title":"Explain","text":"Ranks accounts using visible signals, counter-signals, uncertainty and missing evidence."},{"title":"Act","text":"Creates an owner-based renewal worklist with proportionate follow-up actions."}],"deliverables":["Ranked renewal worklist","Signal and counter-signal evidence","Data-gap register","Owner-specific action plan"],"use_when":"Use it before renewal planning or forecast review when teams need an explainable account-level risk view.","boundary":"It does not guarantee churn forecasts, contact customers, change commercial terms or make adverse customer decisions.","example":"An account appears low-usage but has a confirmed migration project; the skill records both signals and avoids an unsupported high-risk label.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/customer-renewal-risk-operator","one_time_price":349,"monthly_price":129,"purchasable":false,"visual_explanation":{"symbol":"↗","input":"Signals","action":"Rank","output":"Retain","caption":"Ranks renewal risks with explainable evidence, counter-signals and owner actions."}},{"slug":"hr-case-triage","name":"HR Case Triage","category":"HR operations","buyer":"HR operations and shared-services teams","outcome":"A neutral, policy-grounded case record with sensitivity detection and authorized routing.","description":"Classify employee-service requests while protecting sensitive information and avoiding employment decisions.","oneTimePrice":399,"monthlyPrice":149,"stage":"validation","icon":"HR","accent":"lime","problem":"Employee requests arrive through many channels and can expose sensitive information or be routed inconsistently before the right HR owner sees them.","workflow":[{"title":"Record","text":"Creates a neutral case summary from the employee's words and approved supporting information."},{"title":"Protect","text":"Detects sensitive categories, access restrictions, missing facts and policy-linked urgency cues."},{"title":"Route","text":"Assigns the case to the authorized HR queue with a complete, auditable intake record."}],"deliverables":["Neutral HR case record","Sensitivity and access flags","Policy and missing-information checklist","Authorized routing recommendation"],"use_when":"Use it for employee-service intake where benefits, leave, payroll, conduct or other sensitive requests need consistent routing.","boundary":"It does not make employment decisions, investigate allegations, provide legal advice or disclose sensitive case data broadly.","example":"A mixed payroll and leave message is split into one controlled record, sensitive medical detail is restricted and the correct HR owners are identified.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/hr-case-triage","one_time_price":399,"monthly_price":149,"purchasable":false,"visual_explanation":{"symbol":"HR","input":"Case","action":"Classify","output":"Route","caption":"Creates a neutral, policy-grounded HR record and routes sensitive cases safely."}},{"slug":"legal-matter-intake","name":"Legal Matter Intake","category":"Legal operations","buyer":"In-house legal and legal-operations teams","outcome":"A complete, access-controlled matter packet with parties, chronology, documents, deadlines and routing.","description":"Reduce intake back-and-forth without providing legal advice or determining matter disposition.","oneTimePrice":449,"monthlyPrice":179,"stage":"validation","icon":"LM","accent":"violet","problem":"Legal teams lose time clarifying requests because parties, chronology, documents, deadlines, conflicts and desired outcomes arrive incomplete.","workflow":[{"title":"Capture","text":"Structures the request, parties, business context, chronology, documents and stated deadline."},{"title":"Control","text":"Checks access needs, possible conflicts, privilege cues and missing information."},{"title":"Route","text":"Builds a complete matter packet for the authorized legal owner and system of record."}],"deliverables":["Structured matter intake","Party and chronology register","Document and deadline checklist","Conflict and routing flags"],"use_when":"Use it when business teams submit legal requests through email, forms or chat and intake quality delays assignment.","boundary":"It does not provide legal advice, determine privilege or conflicts, accept a matter or choose its legal disposition.","example":"A contract dispute request becomes a packet with the parties, amendment history, claimed deadline and three missing documents before counsel review.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/legal-matter-intake","one_time_price":449,"monthly_price":179,"purchasable":false,"visual_explanation":{"symbol":"L","input":"Intake","action":"Structure","output":"Assign","caption":"Builds an access-controlled legal matter packet with parties, chronology and deadlines."}},{"slug":"grant-compliance-operator","name":"Grant Compliance Operator","category":"Grants · Education","buyer":"Nonprofits, universities and grant offices","outcome":"An eligibility, requirement, owner, evidence and readiness matrix for applications or awards.","description":"Turn funding notices into controlled work without guaranteeing eligibility or submitting on the applicant's behalf.","oneTimePrice":299,"monthlyPrice":119,"stage":"validation","icon":"GC","accent":"cyan","problem":"Funding notices mix eligibility, narrative, budget, evidence, reporting and submission requirements across long documents and portals.","workflow":[{"title":"Extract","text":"Captures requirements, scoring cues, deadlines, attachments, restrictions and post-award duties."},{"title":"Assess","text":"Maps each item to approved organizational evidence, owner, readiness and unresolved decision."},{"title":"Control","text":"Creates an application or award workplan with gaps, review gates and source citations."}],"deliverables":["Eligibility and requirement matrix","Evidence and owner register","Deadline and attachment plan","Readiness and compliance-gap report"],"use_when":"Use it for grant opportunity screening, application planning or post-award requirement tracking.","boundary":"It does not guarantee eligibility or funding, fabricate organizational facts, make certifications or submit on the applicant's behalf.","example":"A university grant office converts a 65-page notice into 41 requirements, rejects one unsupported eligibility assumption and assigns the remaining evidence work.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/grant-compliance-operator","one_time_price":299,"monthly_price":119,"purchasable":false,"visual_explanation":{"symbol":"G","input":"Requirements","action":"Map","output":"Ready","caption":"Maps grant requirements to owners and evidence for application or award readiness."}},{"slug":"sustainability-evidence-operator","name":"Sustainability Evidence Operator","category":"ESG · Reporting","buyer":"CFO, ESG, legal and assurance teams","outcome":"A disclosure-to-evidence matrix with metric lineage, owners, controls and assurance gaps.","description":"Organize sustainability reporting evidence without making materiality, compliance, assurance or green-claim decisions.","oneTimePrice":499,"monthlyPrice":199,"stage":"validation","icon":"SE","accent":"orange","problem":"Sustainability disclosures pull metrics and claims from many owners, making lineage, control evidence and assurance gaps difficult to prove.","workflow":[{"title":"Map","text":"Breaks approved disclosure requirements and claims into specific data and evidence needs."},{"title":"Trace","text":"Links metrics to source systems, calculations, periods, owners, controls and supporting files."},{"title":"Assure","text":"Flags missing lineage, inconsistent claims and items requiring legal, materiality or assurance review."}],"deliverables":["Disclosure-to-evidence matrix","Metric lineage register","Owner and control map","Assurance and claim-gap log"],"use_when":"Use it while preparing sustainability reports, questionnaires or claim substantiation that must survive internal or external review.","boundary":"It does not decide materiality, certify compliance, provide assurance or authorize environmental claims.","example":"An emissions disclosure is traced from the published figure to source files and calculations, exposing two missing control approvals before reporting.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/sustainability-evidence-operator","one_time_price":499,"monthly_price":199,"purchasable":false,"visual_explanation":{"symbol":"S","input":"Metrics","action":"Trace","output":"Report","caption":"Connects sustainability disclosures to metric lineage, owners and assurance gaps."}},{"slug":"exec-brief-studio","name":"Exec Brief Studio","category":"Analysis · Reporting","buyer":"Consultants, founders, analysts and operations leaders","outcome":"A decision-ready executive brief with sourced KPIs, charts, risks, owners and actions.","description":"Turn verified operational evidence into a management instrument instead of a data dump.","oneTimePrice":79,"monthlyPrice":19,"stage":"catalog","icon":"EB","accent":"blue","problem":"Executive reports often bury the decision in pages of metrics, mix verified facts with interpretation and leave actions without owners.","workflow":[{"title":"Verify","text":"Collects approved KPIs, source dates, definitions, prior commitments and known data limits."},{"title":"Synthesize","text":"Turns the evidence into a concise narrative, decision options, charts, risks and implications."},{"title":"Mobilize","text":"Ends with explicit decisions, actions, owners, dates and follow-up measures."}],"deliverables":["Decision-ready executive brief","Sourced KPI and chart package","Risk and decision register","Owner-based action tracker"],"use_when":"Use it for daily, weekly, board or operating reviews where leaders need a compact instrument for decisions.","boundary":"It does not invent KPIs, hide data-quality limits, make executive decisions or publish confidential information without approval.","example":"A 14-tab operations workbook becomes a five-page brief showing the three decisions required, their evidence and accountable owners.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/exec-brief-studio","one_time_price":79,"monthly_price":19,"purchasable":true,"visual_explanation":{"symbol":"EB","input":"Sources","action":"Synthesize","output":"Decide","caption":"Turns sourced KPIs, risks and actions into a decision-ready executive brief."}},{"slug":"remote-job-operator","name":"Remote Job Operator","category":"Career operations","buyer":"Career coaches and advanced job seekers","outcome":"A truthful, auditable remote-job pipeline with eligibility checks, scoring and application tracking.","description":"Run repeatable job search work without inventing work authorization, credentials or application answers.","oneTimePrice":99,"monthlyPrice":24,"stage":"catalog","icon":"RJ","accent":"pink","problem":"Serious job searches become noisy and inconsistent when eligibility, fit, application truthfulness and follow-up are managed across ad hoc tabs.","workflow":[{"title":"Find","text":"Collects relevant roles from approved sources and records location, eligibility, recency and employer facts."},{"title":"Score","text":"Compares each role with the candidate's verified experience, constraints and priorities."},{"title":"Track","text":"Prepares truthful application materials and maintains a status, follow-up and evidence ledger."}],"deliverables":["Verified opportunity pipeline","Eligibility and fit scorecards","Truthful tailored application drafts","Application and follow-up tracker"],"use_when":"Use it for a disciplined remote search where the candidate wants fewer, better-qualified applications and a clear record.","boundary":"It does not invent credentials or work authorization, answer sensitive application questions, submit without approval or guarantee interviews.","example":"From 80 listings, the skill removes stale and ineligible roles, ranks 12 strong matches and prepares evidence-based drafts for candidate review.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/remote-job-operator","one_time_price":99,"monthly_price":24,"purchasable":true,"visual_explanation":{"symbol":"RJ","input":"Roles","action":"Score","output":"Apply","caption":"Builds a truthful job pipeline with eligibility checks, scoring and application tracking."}},{"slug":"expert-book-launcher","name":"Expert Book Launcher","category":"Publishing","buyer":"Experts, boutique publishers and consultants","outcome":"A validated, evidence-backed book package prepared for commercial publication and launch.","description":"Turn professional knowledge into a differentiated book without fabricated demand, reviews or authority.","oneTimePrice":149,"monthlyPrice":39,"stage":"catalog","icon":"BK","accent":"yellow","problem":"Experts often start writing before confirming reader demand, differentiation, evidence, production requirements and a credible launch path.","workflow":[{"title":"Validate","text":"Researches the reader problem, competing books, search language, promise and falsifiable demand signals."},{"title":"Produce","text":"Builds the evidence-backed manuscript, assets, metadata and publication-ready files."},{"title":"Launch","text":"Creates the listing, campaign experiments, measurement plan and controlled update loop."}],"deliverables":["Validated book concept and positioning","Evidence-backed manuscript package","Publication metadata and files","Launch and measurement plan"],"use_when":"Use it when professional knowledge must become a differentiated, commercially prepared book rather than an unfinished draft.","boundary":"It does not fabricate demand, authority, citations, reviews or sales and does not publish or spend money without approval.","example":"A consultant's broad AI-book idea becomes a specific field guide with competitor evidence, reader promise, production files and a measurable launch plan.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/expert-book-launcher","one_time_price":149,"monthly_price":39,"purchasable":true,"visual_explanation":{"symbol":"B","input":"Expertise","action":"Build","output":"Publish","caption":"Converts expert knowledge into a validated book package ready for commercial launch."}},{"slug":"shorts-demand-engine","name":"Shorts Demand Engine","category":"Content marketing","buyer":"Creators, agencies and product-launch teams","outcome":"A measurable short-form campaign with researched concepts, scripts, variants and learning loops.","description":"Build demand experiments without copying creators, inventing claims or betting on viral luck.","oneTimePrice":89,"monthlyPrice":24,"stage":"catalog","icon":"SD","accent":"red","problem":"Short-form campaigns fail when teams copy trends, publish disconnected ideas and optimize views without learning whether content creates qualified demand.","workflow":[{"title":"Research","text":"Studies the buyer problem, platform patterns, competing messages, proof and campaign constraints."},{"title":"Create","text":"Produces distinct concepts, hooks, scripts, storyboards, variants and factual claim controls."},{"title":"Learn","text":"Connects each post to CTA, experiment hypothesis, performance evidence and the next decision."}],"deliverables":["Researched campaign concepts","Scripts, storyboards and variants","Claim and CTA manifest","Measurement and iteration loop"],"use_when":"Use it for product, book or expert campaigns that need a repeatable short-form system instead of isolated posts.","boundary":"It does not copy creators, invent claims, guarantee virality, publish content or spend campaign budget without authorization.","example":"A launch becomes six distinct short concepts tied to one landing page, with hook variants and a clear rule for what to repeat after results arrive.","url":"https://ligera-ai-market.juliandebedout.chatgpt.site/skills/shorts-demand-engine","one_time_price":89,"monthly_price":24,"purchasable":true,"visual_explanation":{"symbol":"▶","input":"Research","action":"Create","output":"Learn","caption":"Produces researched short-form concepts, scripts, variants and measurable learning loops."}}]}