Loading...
Loading...
Found 6,945 Skills
Systematic codebase investigation to extract architectural patterns and implementation details from an existing project, with findings persisted for long-term reuse. Use when the user wants to explore an open-source or existing codebase to understand how it works and inform the development of a new project. Triggers include: "explore this codebase", "investigate this repo", "how does X implement Y", "I want to build X, study how Y does it", "deep dive into this project", "understand how this works".
Integrate Perplexity API for web-grounded AI responses and search. Covers Sonar models, Search API, SDK usage (Python/TypeScript), streaming, structured outputs, filters, media attachments, Pro Search, and prompting. Keywords: Perplexity, Sonar, sonar-pro, sonar-reasoning-pro, sonar-deep-research, web search API, grounded LLM, chat completions, perplexityai SDK, image attachments, PDF analysis.
Builds rich text editors with Tiptap, a headless ProseMirror-based editor framework for React with Tailwind v4 support. Covers SSR-safe setup, image uploads, prose styling, collaborative editing, and markdown support. Use when adding a rich text editor, configuring Tiptap extensions, handling image uploads in editors, or setting up collaborative editing with Y.js. Use for tiptap, rich text, editor, prosemirror, react, tailwind.
Authentication patterns for React web applications. Use when implementing login flows, OAuth, JWT handling, session management, or protected routes in React web apps.
Resend email API for sending transactional and marketing emails. Use when integrating email delivery, managing domains, handling webhooks, building email workflows with React Email, managing contacts, or sending broadcasts. Use for resend, email, transactional, broadcast, contacts, segments, webhooks, domain.
Provide development estimates for tasks, features, or projects. Use when user asks for time estimates, effort assessment, or project sizing.
创建高质量 MCP（模型上下文协议）服务器的指南，使 LLM 能够通过精心设计的工具与外部服务交互。在构建 MCP 服务器以集成外部 API 或服务时使用，无论是 Python (FastMCP) 还是 Node/TypeScript (MCP SDK)。
Teach Claude ANY topic - code libraries, APIs, concepts, tools, methodologies, or domains. Researches via web and docs, then retains knowledge as a permanent skill. Use when user says "/learn <topic>", "learn about X", "teach yourself Y", "become an expert on Z". Examples - "/learn stripe" for payments, "/learn GTD" for productivity, "/learn israeli-tax-law" for domain knowledge.
Use this to verify whether the work meets requirements when completing tasks, implementing main features, or before merging.
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.
Coordinates skills, frameworks, and workflows throughout the project lifecycle using pattern-based sequencing, goal decomposition, phase-gate validation, and multi-agent orchestration. Use when starting multi-phase projects, sequencing frameworks, decomposing goals into capability plans, validating phase-gate readiness, coordinating subagents, or designing MCP-based tool orchestration.
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.