Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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react-best-practices
React and Next.js performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
majiayu000/claude-skill-registry 163
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linkedin-cli
Use when automating LinkedIn via CLI: fetch profiles, search people/companies, send messages, manage connections, create posts, and Sales Navigator.
majiayu000/claude-skill-registry 163
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sast-patterns
Static Application Security Testing patterns, OWASP Top 10 checklist, language-specific vulnerability patterns, Semgrep rule writing guide, and CI/CD integration. Use when scanning code for security vulnerabilities or writing custom SAST rules.
majiayu000/claude-skill-registry 163
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workflow-create-prd
This skill should be used when creating a Product Requirements Document (PRD) based on user input. It guides through clarifying questions, explores approaches, and produces a structured PRD suitable for junior developers to implement.
majiayu000/claude-skill-registry 163
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bmad-qa
qa agent
majiayu000/claude-skill-registry 163
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shotstack-automation
Automate Shotstack tasks via Rube MCP (Composio). Always search tools first for current schemas.
majiayu000/claude-skill-registry 163
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crewai
Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (s...
majiayu000/claude-skill-registry 163
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dspy-miprov2-optimizer
This skill should be used when the user asks to "optimize a DSPy program", "use MIPROv2", "tune instructions and demos", "get best DSPy performance", "run Bayesian optimization", mentions "state-of-the-art DSPy optimizer", "joint instruction tuning", or needs maximum performance from a DSPy program with substantial training data (200+ examples).
majiayu000/claude-skill-registry 163
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parallel-coordinator
Orchestrate multiple independent agents running simultaneously, leveraging Claude Sonnet 4.5's parallel tool execution capabilities to maximize throughput on multi-task requests.
majiayu000/claude-skill-registry 163
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strategic-compact
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
majiayu000/claude-skill-registry 163
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security-governance
Explain MotherDuck security, governance, and access-control patterns. Use when a security_compliance_owner, technical_owner, or application_builder is asking about residency, access boundaries, service accounts, isolation, sharing, or governance posture.
majiayu000/claude-skill-registry 163
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logo-dev-automation
Automate Logo Dev tasks via Rube MCP (Composio). Always search tools first for current schemas.
majiayu000/claude-skill-registry 163
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de-slopify
Remove telltale signs of AI-generated 'slop' writing from README files and documentation. Make your docs sound authentically human.
majiayu000/claude-skill-registry 163
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add-electron-wrapper
Add Electron wrapper for NovaTune Player desktop app with secure token storage (project)
majiayu000/claude-skill-registry 163
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frontend-design
Create polished frontend interfaces from designs/screenshots/videos. Use for web components, 3D experiences, replicating UI designs, quick prototypes, immersive interfaces, avoiding AI slop.
majiayu000/claude-skill-registry 163
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agent-teams-playbook
Agent Teams orchestration playbook for Claude Code. This skill should be used when the user asks to "create agent teams", "use agent swarm", "setup multi-agent collaboration", "orchestrate agents", "coordinate parallel agents", "organize team collaboration", "build agent teams", "implement swarm orchestration", "setup multi-agent system", "coordinate agent collaboration", or needs guidance on adaptive team formation, quality gates, skill discovery, task distribution, team coordination strategies, or Agent Teams best practices. 或者当用户说"多agent"、"agent协作"、"agent编排"、"并行agent"、"分工协作"、"拉团队"、"拉个团队"、"多代理协作"、"swarm编排"、"agent团队"时也应使用此技能。Note: "swarm/蜂群" is a generic industry term; Claude Code's official concept is "Agent Teams".
majiayu000/claude-skill-registry 163
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pydantic
Pydantic v2 best practices and correct syntax. Use when code imports pydantic, uses BaseModel, Field, field_validator, model_validator, ConfigDict, TypeAdapter. Triggers on: Pydantic, data validation, model serialization, API schemas. Corrects common v1 patterns LLMs generate.
majiayu000/claude-skill-registry 163
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git-github-ops
Manage GitHub and Git operations with Conventional Commits support. Create commits, push branches, create/approve/merge PRs. Use proactively when asked to commit changes, create pull requests, or manage GitHub workflows.
majiayu000/claude-skill-registry 163
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triage-malware
Triage a suspected malicious file hash. Use when investigating malware alerts or suspicious files. Analyzes GTI file report, behavioral indicators, identifies affected hosts, enriches network IOCs, and recommends containment actions.
majiayu000/claude-skill-registry 163
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understand-diff
Use when you need to analyze git diffs or pull requests to understand what changed, affected components, and risks
majiayu000/claude-skill-registry 163
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dbt-transformation-patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
majiayu000/claude-skill-registry 163
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team-uidesign
Unified team skill for UI design team. Research -> design tokens -> audit -> implementation. Uses team-worker agent architecture with roles/ for domain logic. Coordinator orchestrates dual-track pipeline with GC loops and sync points. Triggers on "team ui design", "ui design team".
majiayu000/claude-skill-registry 163
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architecture-patterns
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
majiayu000/claude-skill-registry 163
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model-pruning
Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.
majiayu000/claude-skill-registry 163