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Found 2,040 Skills
Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.
Create and manage Infrahub transforms. Use when building data transformations, config generation, or any workflow that converts Infrahub data into a different format (JSON, text, CSV, device configs) using Python or Jinja2 templates.
This skill should be used when Claude Code needs to perform basic arithmetic calculations. It provides a Python script that safely evaluates mathematical expressions including addition, subtraction, multiplication, division, exponentiation, and square roots.
LLDB debugger skill for C/C++/Swift/Objective-C programs. Use when debugging with LLDB on macOS, FreeBSD, or Linux-clang environments, mapping GDB mental models to LLDB commands, using LLDB in Xcode or VS Code, or debugging Swift/Objective-C. Activates on queries about LLDB commands, GDB to LLDB migration, Apple platform debugging, LLDB Python scripting, or IDE-integrated debugging with clang-built binaries.
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
Generate a professional, VC-ready 10-page pitch deck as a .pptx file. Designed for startup founders preparing investor pitches, fundraising roadshows, and venture capital presentations. Use when the user asks for: "帮我写商业计划书", "生成BP", "做融资PPT", "pitch deck", "投资人路演PPT", "创业计划书", "business plan ppt", "fundraising deck", "路演材料", "融资计划书", "做PPT", "生成pitch deck". Supports Chinese and English, auto-adapts design to project context, outputs a real .pptx file via python-pptx. Part of UniqueClub founder toolkit. Learn more: https://uniqueclub.ai Pair with deck-web-converter to convert the output into a web-viewable HTML presentation.
Comprehensive guide to the AgentMail Python and TypeScript SDKs. Use when building AI agents that need their own email inboxes, sending or receiving emails programmatically, managing threads and conversations, handling attachments, creating drafts for human-in-the-loop approval, setting up real-time notifications via webhooks or WebSockets, configuring custom domains, managing allow/block lists, using pods for multi-tenant isolation, or integrating email into any AI agent workflow. Covers the full AgentMail API with code examples, best practices, and production patterns.
Shared optimization guidance plus cuTile Python DSL-specific overlays. Use when: (1) selecting optimizations for a cuTile Python DSL kernel, (2) checking cuTile-specific implementation traps, (3) deciding whether a profiling finding belongs in shared knowledge or a cuTile overlay, (4) updating cuTile Python DSL optimization docs, (5) reviewing how a shared pattern maps to cuTile.
Produce a long-form, shareable markdown writeup on whether Claude has regressed on this user's work. A bundled Python script scans `~/.claude/projects/`, computes every metric, and renders a markdown skeleton with tables already filled — in ~2.5s. Claude fills a dozen short narrative placeholders and saves. Writes `./cc-canary-<YYYY-MM-DD>.md` suitable for pasting into a GitHub issue or gist.
Neo4j Graph Data Science (GDS) plugin — graph projection, algorithm execution, execution modes (stream/stats/mutate/write), memory estimation, and the GDS Python client (graphdatascience v1.21). Use when running gds.pageRank, gds.louvain, gds.wcc, gds.fastRP, gds.knn, gds.betweenness, gds.nodeSimilarity, or any gds.* procedure; projecting named in-memory graphs with gds.graph.project or graph.project; chaining algorithms with mutate mode; computing node embeddings for ML; building recommendation systems with FastRP + KNN. Also triggers on GraphDataScience, GdsSessions, graph catalog operations, ML pipelines, node classification, link prediction. Does NOT cover Aura Graph Analytics serverless sessions — use neo4j-aura-graph-analytics-skill. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver setup — use neo4j-driver-python-skill or other driver skill.
Полная русскоязычная справка по Ollama Web Search и Web Fetch API: поиск в интернете, получение контента страниц, Python/JS SDK, MCP-сервер, интеграция с OpenClaw. Используй этот скилл при любых вопросах об Ollama web search: как настроить API-ключ, выполнить поиск, получить содержимое страницы, подключить SDK, настроить MCP-сервер, интегрировать с агентами. Также используй при написании кода для Ollama Search: bash-скрипты, Python asyncio, JS/TS клиенты, tool-calling агенты, конфигурация OpenClaw. Триггерится на слова: ollama search, ollama web search, ollama_search, ollama fetch, web_search ollama, ollama api key, ollama MCP, поиск через ollama.
Printing Press CLI for Pypi. PyPI JSON API. Look up Python package metadata, versions, release files, and vulnerability data. Browse recent...