Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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bmad-retrospective
Post-epic review to extract lessons and assess success. Use when the user says "run a retrospective" or "lets retro the epic [epic]"
majiayu000/claude-skill-registry 163
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frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
majiayu000/claude-skill-registry 163
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hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
majiayu000/claude-skill-registry 163
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pattern-matching
majiayu000/claude-skill-registry 163
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index-strategies
SQL Server index design and optimization strategies. Use this skill when: (1) User needs help designing indexes, (2) User asks about clustered vs nonclustered indexes, (3) User wants to optimize columnstore indexes, (4) User needs filtered or covering indexes, (5) User asks about index maintenance and fragmentation.
majiayu000/claude-skill-registry 163
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Android Persistence
Standards for Room Database and DataStore
majiayu000/claude-skill-registry 163
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Agent Development
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
majiayu000/claude-skill-registry 163
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changelog-rene-kuhm-opencode-ohmyopencod
Generar changelog semántico basado en commits y PRs. Sigue el formato Keep a Changelog y Conventional Commits.
majiayu000/claude-skill-registry 163
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agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
majiayu000/claude-skill-registry 163
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skill-review
Audit claude-skills with systematic 9-phase review: standards compliance, official docs verification, code accuracy, cross-file consistency, and version drift detection.
Use when investigating skill issues, major updates detected, skill not verified >90 days, or before marketplace submission.
majiayu000/claude-skill-registry 163
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startup-design
Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup idea to explore, wants to validate a business concept, needs a business plan or lean canvas, asks for market sizing or competitive landscape, wants brand positioning or go-to-market strategy, or says anything like "I have an idea for..." or "is this idea worth pursuing". Also handles resuming from a previous checkpoint.
majiayu000/claude-skill-registry 163
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book
Create Book note with knowledge compounding through spawned Concept/Pattern/Theme nodes
majiayu000/claude-skill-registry 163
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containerizing-applications
Containerizes applications with Docker, docker-compose, and Helm charts.
Use when creating Dockerfiles, docker-compose configurations, or Helm charts for Kubernetes.
Includes Docker Hardened Images (95% fewer CVEs), multi-stage builds, and 15+ battle-tested gotchas.
majiayu000/claude-skill-registry 163
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latex-submission-pipeline
LaTeX submission pipeline: templates, local build (latexmk), bibliography (bibtex/biber), lint (chktex), formatting (latexindent), CI build (GitHub Actions), and submission zip packaging.
majiayu000/claude-skill-registry 163
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tmux
Remote control tmux sessions for interactive CLIs, background tasks, and services.
majiayu000/claude-skill-registry 163
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internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
majiayu000/claude-skill-registry 163
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box-automation
Automate Box cloud storage operations including file upload/download, search, folder management, sharing, collaborations, and metadata queries via Rube MCP (Composio). Always search tools first for current schemas.
majiayu000/claude-skill-registry 163
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breezing
楽勝で流す。Agent Teamsで完全自走、寝てる間にゴール。Use when user mentions '/breezing', agent teams, team execution, full auto completion, multi-agent workflow, 'チームで完走', 'チームで全部'. Do NOT load for: single tasks, reviews, setup, or /work (direct implementation).
majiayu000/claude-skill-registry 163
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30-04-ts-closure-monolith-decomposition
Decompose a large closure-based module into domain modules with shared state. Use when a single function/closure owns 1000+ lines of state and logic trapped by closure capture.
majiayu000/claude-skill-registry 163
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testing-patterns
Agent-based declarative testing with YAML test specs. Tests run in sub-agents to preserve
main context while executing many tests. Supports MCP servers, APIs, and browser automation.
Use when: testing MCP servers, running integration tests, validating tool behavior after changes,
or creating regression test suites. Keywords: yaml tests, agent testing, mcp test, integration tests.
majiayu000/claude-skill-registry 163
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Production Health & Optimization
Manage system stability, avoid agentic loops, optimize costs, and enforce sleep cycles.
majiayu000/claude-skill-registry 163
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when-creating-slash-commands-use-slash-command-encoder
Create ergonomic slash commands for fast access to micro-skills with auto-discovery and parameter validation
majiayu000/claude-skill-registry 163
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autonomous-agents
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
majiayu000/claude-skill-registry 163
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bun-sveltekit
Use when building or running SvelteKit apps on Bun, including SSR, adapters, and Bun-specific APIs
majiayu000/claude-skill-registry 163