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Found 1,700 Skills
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Generate a rules file for any AI coding agent. Interactive setup that scans installed skills, asks about workflow preferences, and writes a tailored instruction file for Claude Code, Cursor, Windsurf, Copilot, Gemini, Roo Code, or Amp. Supports global (user-level), project team-shared, and project dev-specific scopes.
Heartbeat-driven 7-day BotLearn tutorial reminders — fetches quickstart pages daily, tracks progress, presents tips in the user's language, auto-stops after Day 7.
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
Capture corrections, insights, and patterns as reusable project knowledge. Routes learnings to the right instruction file. Applies kaizen: small improvements, error-proofing, standards work. Auto-invoked when a correction pattern is detected 3+ times. Also use manually when Claude makes a repeated mistake, discovers a non-obvious gotcha, or when you want to persist a workflow preference.
Code file line limit specification: A single code file must have ≤ 300 lines. This is a mandatory restriction with no exceptions.
Enables continuous self-improvement through learning from failures, user corrections, and capability gaps. Integrates with QAVR for learned memory ranking.
Single Responsibility Principle, ensuring that code files, functions, and modules have clear and single responsibilities. Applicable to all code files.
Open standards and governance rules for Agent Skills. It is used for creation, modification, refactoring, migration, audit and maintenance of skills, and provides platform-independent structural standards, frontmatter specifications, progressive disclosure and quality gates.
Documentation-driven development specification that requires Agent to consult official documentation and examples before generating code or fixing bugs, including API verification processes, search strategies and MCP invocation rules. It is applicable to scenarios such as accessing third-party libraries, troubleshooting API errors, and version changes.
Thinking guidance mechanism that requires Agent to raise guiding questions before giving answers, helping users think actively and avoid the degradation of cognitive abilities. It is applicable to interaction scenarios such as user questioning, solution consultation, learning communication, etc.