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Found 2,167 Skills
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
Opinionated, evolving constraints to guide agents when building interfaces. Useful for keeping output coherent across many small UI pieces.
Specification and SDK for creating Agent Skills - a standard format for giving AI agents new capabilities through discoverable instruction bundles
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
Complete YouTube toolkit — transcripts, search, channels, playlists, and metadata all in one skill. Use when you need comprehensive YouTube access, want to search and then get transcripts, browse channel content, work with playlists, or need the full suite of YouTube data endpoints. The all-in-one YouTube skill for agents.
Pay-per-call API gateway for AI agents. 4 services available via x402 — no API keys, no subscriptions.
Pre-ship audit checklist for Ethereum dApps built with Scaffold-ETH 2. Give this to a separate reviewer agent (or fresh context) AFTER the build is complete. Covers only the bugs AI agents actually ship — validated by baseline testing against stock LLMs.
Expert skill for memory-lancedb-pro — a production-grade LanceDB-backed long-term memory plugin for OpenClaw agents with hybrid retrieval, cross-encoder reranking, multi-scope isolation, and smart auto-capture.
Active penetration testing toolchain. Covers scenarios such as information gathering, port scanning, vulnerability scanning, web penetration, SQL injection, directory brute-forcing, password cracking, etc. Exposes over 20 security tools to AI agents via MCP server (pentestMCP / mcp-security-hub). Trigger keywords: penetration testing, port scanning, Nmap, vulnerability scanning, Nuclei, SQL injection, SQLMap, directory brute-forcing, FFUF, password cracking, Hashcat, information gathering, subdomain, web penetration, ZAP, Burp.
Set up, adopt, refresh, or audit a repository's agent instructions (the AGENTS.md block) so AI agents work well in that repo. Also records observed agent mistakes as pitfalls. Use when invoked by name
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.