📥 Invoice Acceptance Evidence Gate
Verify customer-specific invoice fields, attachments, destination, submission receipt, acceptance status, correction version, and aging start.
New: Skill bounties are live. Post a request, fund the bounty, and creators compete for 7 days to build it -> See open bounties
THE AGENSI STORE
2102 skills found
Verify customer-specific invoice fields, attachments, destination, submission receipt, acceptance status, correction version, and aging start.
Reconcile employee exits and role changes with IdP, SaaS, exception, and revocation evidence before an access closeout is accepted.
by Shandra
Finds business receipts, invoices, refunds, credit notes, and expense confirmations in email; validates and classifies them; forwards approved records to a finance address; and stores each document in an automatically maintained monthly folder. Includes duplicate prevention, deterministic naming, exception handling, audit logs, late-arrival processing, reconciliation support, privacy safeguards, and monthly record-keeping workflows.
by Jose Luis
A shipment tracking skill to check status across multiple couriers using the tracking_status_checker MCP tool.
Tie normalized marketplace orders, fees, refunds, reserves, settlement lines, and bank deposits to an explicit payout-period ledger.
Compare two XLSX versions for formulas replaced by values, formula-family drift, broken references, new cycles, and workbook-control changes.
by Shandra
Creates structured, secure, scalable admin-panel interfaces for user and organization management, roles, permissions, data tables, filters, saved views, bulk actions, settings, audit logs, billing, subscriptions, reports, moderation, support operations, responsive behavior, accessibility, analytics, and implementation-ready developer handoff.
by Shandra
Creates premium, implementation-aware UI mockup concepts for SaaS products, CRMs, finance applications, education platforms, AI tools, marketplaces, booking systems, admin dashboards, and other web applications, including layouts, components, realistic content, responsive behavior, AI image prompts, Figma notes, and developer handoff.
by 108
Turn a vague idea into a validated business concept — evidence-based, no fabricated numbers, no guesswork.
by Jose Luis
An MCP-powered SEO auditor for analyzing website URLs against target keywords.
by Shandra
Converts GitHub issues into repository-aware implementation plans, code changes, tests, and review-ready pull requests.
by heyhridyansh
Plans evidence-based, staged migrations from JavaScript or loose TypeScript to strict mode while preserving runtime safety.
Flag reserved names, invalid characters, trailing dots, case collisions, Unicode normalization collisions, and path-length risks.
Check normalized iCalendar events for floating times, DATE mismatches, missing boundaries, sequence errors, and recurrence evidence.
Catch Shopify product CSV handle, title, SKU, image URL, and overwrite risks before import.
Reconcile active subcontractors with project COI requirements, certificate facts, named entities, limits, endorsements, expiry, and evidence.
Track an owner-confirmed CRA reporting workflow through its 24-hour, 72-hour, and final-report evidence stages without deciding reportability.
Check whether accessibility conformance claims still trace to current, scoped, version-matched, manually reviewed, and retested evidence.
by Jose Luis
Persistent Markdown graph that tracks project decisions, failed attempts, and open threads across sessions.
by Jose Luis
Generate scannable QR codes from URLs, text, and contact data via local MCP tool integration.
by agentready
Can an AI shopping agent find, understand and BUY on this store? Free deterministic audit — score /100, blockers, ranked fixes.
Map supported product claims to current channel rules, required artifacts, human-authored fields, and a fail-closed submission-readiness gate.
by Jose Luis
Generate industry-specific 2026 L&D trend reports covering AI integration and skills-based learning via MCP.
by Timoranjes
A systematic debugging framework for AI agents to resolve edit loops, instruction decay, and context drift in production. Helps agents self-diagnose failure patterns and recover autonomously.