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Found 2,148 Skills
Create Architecture Decision Records (ADR) - Layer 5 artifact documenting architectural decisions with Context-Decision-Consequences format
Make your AI follow rules and policies. Use when your AI breaks format rules, violates content policies, ignores business constraints, outputs invalid JSON, exceeds length limits, includes forbidden content, or doesn't comply with your specifications. Covers DSPy Assert/Suggest for hard and soft rules, content policies, format enforcement, retry mechanics, and composing multiple constraints.
Pull structured data from messy text using AI. Use when parsing invoices, extracting fields from emails, scraping entities from articles, converting unstructured text to JSON, extracting contact info, parsing resumes, reading forms, or any task where messy text goes in and clean structured data comes out. Powered by DSPy extraction.
Review and process app submissions for the Pollinations showcase. Parse issues, validate submissions, create PRs, handle user corrections.
Use to define schemas, topic tags, and lineage metadata for enriched signals.
Validate and release Navigator plugin to marketplace. Auto-invoke when user says "release plugin", "publish navigator", "create release", or "deploy new version".
Validates agent skill definitions against agentskills.io and AGENTS.md rules. Use when creating or modifying skills to ensure they are machine-readable and documentation-complete.
End-to-end guidance for protein design pipelines. Use this skill when: (1) Starting a new protein design project, (2) Need step-by-step workflow guidance, (3) Understanding the full design pipeline, (4) Planning compute resources and timelines, (5) Integrating multiple design tools. For tool selection, use binder-design. For QC thresholds, use protein-qc.
Edit, analyze, and create Node-RED flows by working with flows.json files, understanding node types, and applying Node-RED best practices. Use when the user mentions Node-RED, flows.json, flow development, or needs to modify Node-RED configurations.
Before building on assumptions, validates them first. Activates when making claims about how code works, what exists, or why something happens. Prevents assumption cascades where one wrong guess leads to a completely wrong solution.
Audit and annotate an AI-generated implementation plan for requirements traceability, YAGNI compliance, and assumption risks. Use when reviewing, validating, or auditing an implementation plan or design proposal produced by an AI agent.
Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding hook types (PreToolUse, PostToolUse, Stop, SessionStart, UserPromptSubmit, etc).