- 📁 agents/
- 📁 references/
- 📄 SKILL.md
Semantic code search, regex pattern search, and symbol lookup across a local repository. Returns ranked markdown codeblocks with file path, line range, content, and optional symbol info. Use `vera search` for conceptual/behavioral queries (how a feature works, where logic lives, exploring unfamiliar code). Use `vera grep` for exact strings, regex patterns, imports, and TODOs. Use `vera references` to trace callers/callees. Use rg only for bulk find-and-replace or files outside the index.
Semantic code and documentation search by meaning. Use codebase_peek to find WHERE code is (saves tokens), codebase_search to see actual code. For exact identifiers, use grep instead. Search local codebase before using websearch for code/library/API/example questions.
Read, search, send, and manage emails from the MailClaw inbox via the local CLI. Use when the user asks to check emails, read messages, search inbox, find emails from a sender, review recent correspondence, or send/reply to emails.
- 📄 content.js
- 📄 package-lock.json
- 📄 package.json
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
- 📄 __init__.py
- 📄 claude_code_skill.md
- 📄 claude_desktop_skill.md
Search and manage documentation knowledge bases using docmancer CLI. Use when the user asks about third-party library docs, API references, vendor documentation, version-specific API behavior, GitBook or Mintlify public docs, offline or local doc search, or wants to ingest a doc URL before answering a question.
- 📁 agents/
- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
- 📄 SKILL.zh.md
Search and explore arXiv papers via ChatTool CLI. Use when user asks to search papers, get daily submissions, fetch specific arXiv papers by ID, or use domain presets like ai4math and math-formalization-weekly.
Search the web. Returns a list of search results to then be explored. Use when you need current information or to verify facts.
One-stop search and install for coding resources. Aggregates MCP Servers, Skills, Rules, and Prompts. Supports search, category browsing, project-based recommendations, and one-click install.
- 📁 references/
- 📁 scripts/
- 📄 .clawhubignore
- 📄 .gitignore
- 📄 LICENSE
Search, browse, and read the user's local documents indexed by Linkly AI. This skill should be used when the user asks to 'search my documents', 'find files about a topic', 'read a local document', 'search my knowledge base', 'browse document outlines', 'list knowledge libraries', 'explore my documents', or any task involving searching, browsing, or reading locally stored documents (PDF, Markdown, DOCX, TXT, HTML). Also triggered by: 'linkly not working', 'can not connect to linkly', '搜索我的文档', '查找文件', '知识库搜索', '浏览文档大纲', '列出知识库', '连接不上', '故障排查'. Provides full-text search, structural outlines, and paginated reading via CLI or MCP tools.
- 📁 .claude-plugin/
- 📁 .cursor/
- 📁 .github/
- 📄 .gitignore
- 📄 AGENTS.md
- 📄 CHANGELOG.md
Audits and optimizes websites for search engine visibility (SEO) and AI search citation (GEO), covering technical health, E-E-A-T content scoring, domain authority, structured data, rich results, and entity signals. Use when running SEO audits, diagnosing traffic drops or ranking losses, generating Schema.org JSON-LD, checking Core Web Vitals, crawlability, robots.txt, sitemaps, hreflang, backlinks, planning content strategy or site migrations, fixing indexing issues, or optimizing for AI Overviews, ChatGPT, and Perplexity. NOT for paid ads (PPC/SEM), social media strategy, email marketing, or general web development unrelated to search.
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks to add a note, list notes, search notes, or manage note folders.
Unified RAG pipeline skill for Rust/MCP projects. Covers architecture, local embeddings via Candle ML framework, chunking strategies, retrieval patterns, hybrid search, reranking, and evaluation (NDCG/MRR). Use when: building RAG, vector search, semantic search, document retrieval, embeddings in Rust.
