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Found 358 Skills
INVOKE THIS SKILL when auditing an AI agent or LLM app for regulatory compliance. Covers EU AI Act, GPAI Code of Practice, GDPR, NIST AI RMF, Colorado AI Act, HIPAA, and ISO 42001. Scans the codebase for compliance gaps, cross-references Arize instrumentation for audit trail coverage, and produces an actionable remediation checklist tailored to the selected frameworks.
Use when reviewing or scoring AI-generated unit tests/UT code, especially when coverage, assertion effectiveness, or test quality is in question and a numeric score, risk level, or must-fix checklist is needed
Design a high-signal onboarding experience and produce a New Hire Onboarding Pack (preboarding checklist, first-week plan, buddy/first-pair plan, listening tour kit, working agreement, 30/60/90 + 1y/2y success plan, 30-day state-of-the-union memo). Use for onboarding, first 90 days, new hire ramp, manager onboarding plan, and joining plans. Category: Hiring & Teams.
Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
Prepare and route a document for e-signature — run a pre-signature checklist, configure signing order, and send for execution. Use when a contract is finalized and ready to sign, when verifying entity names, exhibits, and signature blocks before sending, or when setting up an envelope with sequential or parallel signers.
How to work in artist directories — including creating, enumerating, and editing them. Use when creating or onboarding a new artist ("create artist", "onboard X", "add this artist", "set up a new artist") — this skill scaffolds the artist's `RECOUP.md` checklist file and drives the multi-step setup from it. Use when adding or updating artist context (identity, brand, voice, audience), adding songs, organizing files inside an artist directory, or figuring out where something belongs. Also use when the account asks inventory questions like "what artists do I have", "list my artists", "which orgs am I in", "what's in this sandbox" — the filesystem tree is the authoritative answer. And use when the account mentions an artist by name and the task involves their files, context, or content — even if they don't say "artist directory." This includes tasks like researching an artist, creating content for an artist, updating an artist's brand, or adding a face guide.
This skill should be used whenever users need help planning trips, creating travel itineraries, managing travel budgets, or seeking destination advice. On first use, collects comprehensive travel preferences including budget level, travel style, interests, and dietary restrictions. Generates detailed travel plans with day-by-day itineraries, budget breakdowns, packing checklists, cultural do's and don'ts, and region-specific schedules. Maintains database of preferences and past trips for personalized recommendations.
Audit your OpenClaw environment for credential leaks, unsafe defaults, and missing sandbox configuration. Wizard-style: answers questions about your setup and produces a fix checklist.
Automatically categorizes test failures, suggests responsible owners, and provides common fix checklists. Generates actionable test reports with failure analysis. Use for "test reporting", "failure triage", "test analysis", or "test automation".
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions.
Token integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Context-aware for both token implementations and token integrations.
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.