communication-draft
Draft personalized follow-up communications (email, call script, SMS) based on account context and history.
Discover Content & media skills, compare source repositories and read the instructions for each workflow.
Draft personalized follow-up communications (email, call script, SMS) based on account context and history.
DevOps and Infrastructure expert with comprehensive knowledge of CI/CD pipelines, containerization, orchestration, infrastructure as code, monitoring, security, and performance optimization. Use PROACTIVELY for...
Fast browser automation CLI for AI agents using the Vercel agent-browser tool. Use for headless browser control, web scraping, form filling, automated UI testing, or when a user asks for agent-browser/browser a...
Integrates Google AI Studio Playground for advanced prompt engineering, testing AI models, and generating construction-related content. Use when experimenting with prompts, testing different AI models, or gener...
Automate GitHub Pull Request creation following team conventions with JIRA ID or conventional commit formats. **REQUIRED** Invoke this skill when user asks to create a PR, push and create a PR, or mentions open...
Build interactive AI chat widgets with buttons, forms, and bidirectional actions. Use when creating agentic UIs with clickable widgets, entity tagging (@mentions), composer tools, or server-handled widget actio...
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...
Expertly integrate Agents Playbook MCP into external AI frameworks and design sophisticated workflows using 2026 models.
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.
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...
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.
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...
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...
Expert performance analysis and optimization. Use when analyzing performance issues, optimizing slow code, reducing bundle size, or improving application speed.
코드 품질 리뷰 및 개선 제안. 코드 리뷰, PR 검사, 품질 분석, 버그 탐지, 보안 점검 요청 시 자동 사용.
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...
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...
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...
Use when analyzing Bookmark Vault codebase comprehensively from multiple dimensions simultaneously (component structure, data flow, type coverage).
Explore and understand the Empathy Ledger codebase architecture, data flows, database schema, services, and how components connect. Use when you need to understand where things are, how data flows, or how diffe...
Automated code review analyzing security, performance, maintainability, and test coverage. Activated during code reviews or when conducting analysis.
Inspire team logging standards, alerting guidelines, and monitoring setup. Use when implementing observability or debugging production issues.
This skill should be used when the user asks to "optimize TypeScript performance", "speed up tsc compilation", "configure tsconfig.json", "fix type errors", "improve async patterns", or encounters TS errors (TS...
Identifies performance bottlenecks including N+1 queries, inefficient loops, memory leaks, and slow algorithms. Use when user mentions performance issues, slow code, optimization, or profiling.
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.