Kit de ferramentas abrangente de manipulação de PDF para extrair texto e tabelas, criar novos PDFs, mesclar/dividir documentos e lidar com formulários. Quando o Claude precisar preencher um formulário PDF ou pr...
Tools AI Skills
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integrate-playbook-mcp
Expertly integrate Agents Playbook MCP into external AI frameworks and design sophisticated workflows using 2026 models.
eiffel-intent
Phase 0 of Eiffel Spec Kit. Generates intent.md capturing WHAT users need and WHY. Runs AI-assisted intent review with probing questions. Use with /eiffel.intent command.
snowtower-admin
Advanced skill for SnowTower infrastructure administrators. Use for SnowDDL operations, user provisioning, role management, CI/CD deployments, troubleshooting, and Snowflake administration. Triggers on mentions...
mode-debug
Debug mode for fixing bugs, errors, and crashes. Use when user reports bugs or errors that need fixing. Follows 5W1H approach: gather info, reproduce, analyze root cause, fix, and prevent recurrence.
code-review
Perform thorough code reviews with actionable feedback. Use when the user says "review", "/review", "code review", asks for feedback on code, wants a PR reviewed, or needs a second pair of eyes on their changes...
react-best-practices
Modern React patterns and anti-patterns for writing production-ready components. Use when creating or refactoring React code, hooks, or components.
assertion-helper
分析函数逻辑并生成合适的断言。
debug-data
Debug data storage and persistence issues. Use when troubleshooting lost data, storage problems, or state persistence bugs.
eiffel-harden
Phase 6 of Eiffel Spec Kit. Generates adversarial tests, stress tests, and edge case tests. AI chain suggests attack vectors. Use with /eiffel.harden command.
rn-performance
Performance optimization for React Native. Use when optimizing lists, preventing re-renders, memoizing components, or debugging performance issues in Expo/React Native apps.
debugging-practice-generator
Generate React and Express debugging practice projects with intentional bugs for student learning. Use when the user requests to create debugging exercises, practice projects with bugs, student coding challenge...
debug
Systematic debugging workflow with root cause verification before fixing
vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Trigge...
web-design-reviewer
Visual inspection and design quality assurance for LucidData web interface at localhost:3000. Use when reviewing responsive design, checking Tailwind CSS consistency, validating shadcn/ui component usage, testi...
performance-optimizer
Expert performance analysis and optimization. Use when analyzing performance issues, optimizing slow code, reducing bundle size, or improving application speed.
code-reviewer
코드 품질 리뷰 및 개선 제안. 코드 리뷰, PR 검사, 품질 분석, 버그 탐지, 보안 점검 요청 시 자동 사용.
ux-audit
Perform comprehensive UX audits on pages, components, or features. Use when the user asks to "audit UX", "review usability", "evaluate the interface", "UX review", or wants a systematic evaluation of user exper...
lint-and-validate
Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, type...
test-orchestrator
Coordinates testing strategy and execution across all test types. Use when creating test plans, implementing tests (unit/integration/E2E), or enforcing coverage requirements (80% minimum). Applies testing-requi...
performance-optimization
性能优化策略和最佳实践。用于识别性能瓶颈、优化前端和后端性能、数据库查询优化、缓存策略等。
process-cleanup
Comprehensive process cleanup workflow for detecting and removing orphaned Claude Code sessions
chromelauncher
Launch Chrome for browser automation. USE WHEN mcp__claude-in-chrome tools fail with "extension not connected", or before any browser automation task.
bookmark-analyzer
Use when analyzing Bookmark Vault codebase comprehensively from multiple dimensions simultaneously (component structure, data flow, type coverage).
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.