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Found 476 Skills
Use when the user needs to build MCP (Model Context Protocol) servers — tool definitions, resource management, prompt templates, transport layers, and client integration. Triggers: user says "MCP", "MCP server", "model context protocol", building tools for AI clients, creating AI integrations.
Generate, write, or run an ad-hoc query against SigNoz observability data — metrics, logs, traces, or exceptions — without wrapping it in a dashboard panel or alert. Make sure to use this skill whenever the user asks "show me error rates", "query logs for timeout errors", "what's the p99 latency for the cart service", "how many requests hit the payment endpoint", "find slow traces", "errors in the last hour", or otherwise asks an exploratory question that needs live observability data — even if they don't say "query" or "search" explicitly.
FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB). Use for Claude tool exposure, OAuth Proxy, cloud deployment, or encountering storage, lifespan, middleware, circular import, async errors.
Control and automate real browser sessions through CDP, preserving login state and cookies for LLM-driven interactions
Use when selecting, installing, configuring, smoke-testing, documenting, or troubleshooting MCP servers for academic search, arXiv, Semantic Scholar, OpenAlex, Crossref, PubMed, Zotero, Overleaf, Google Scholar, paper metadata, or scholarly source tooling.
Execute Python code in isolated rootless containers with MCP server proxying for token-efficient agent workflows
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Run MATLAB from AI applications using the official MathWorks MCP server to execute code, analyze scripts, and manage MATLAB sessions.
INVOKE THIS SKILL when creating, running, or operating a Managed Deep Agent against the LangSmith /v1/deepagents private-preview REST API. Covers the agent → MCP server → thread → streamed run flow, tool/interrupt configuration, and the agent file tree (AGENTS.md, skills/, subagents/, tools.json).
Official Roblox Studio MCP server tools reference. What each tool does, how to use it, reliability patterns, and workflows for script editing, building, playtesting, and debugging. Use when the AI has an MCP connection to Roblox Studio.
Extract watermark-free Douyin/TikTok videos and transcribe audio content using AI speech recognition
MCP server for AI image & video generation with 9 models (GPT Image 2, Nanobanana 2, Flux 2, Midjourney V8.1, Veo 3.1, local ComfyUI), 1,446 curated prompts, and parallel batch orchestration