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Found 1,212 Skills
Give your AI agent eyes to see the entire internet. Read and search across Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, RSS, and any web page — all from a single CLI. Use when: (1) reading content from URLs (tweets, Reddit posts, articles, videos), (2) searching across platforms (web, Twitter, Reddit, GitHub, YouTube, Bilibili, XiaoHongShu), (3) checking channel health or updating Agent Reach. Triggers: "search Twitter/Reddit/YouTube", "read this URL", "find posts about", "搜索", "读取", "查一下", "看看这个链接".
See and understand images when you (the current model) have no native vision. Use this WHENEVER you need to look at, read, describe, OCR, or reason about the contents of an image, screenshot, photo, diagram, chart, UI mockup, or scanned page — including when the user references a local image file or an image URL and you cannot view it yourself. Also triggers on: 看图 / 识图 / 截图 / 图片内容 / OCR 文字识别 / 这张图是什么. Delegates the actual seeing to a configurable OpenAI-compatible vision model via a small script.
The comprehensive Celo ecosystem skill. Ecosystem intelligence, builder tools, DeFi protocol reference, MiniPay development, AI agent infrastructure, governance, grants, and verified contract addresses — all in one skill. Powered by The Grid for live cross-chain ecosystem data.
获取每天60秒读懂世界的每日新闻，包含15条精选国内外新闻和每日微语。Use when users need daily news summaries, current events, or want to stay informed about world news in Chinese.
poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.
Browser automation for AI agents. Use when the user needs to navigate websites, read page content, fill forms, click elements, take screenshots, or manage browser tabs.
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
Explains the ADK Dev Console — what each tab shows, how to read Agent Steps, traces, and other UI features visible at localhost:3001 during adk dev
macOS native app automation CLI for AI agents. Use when the user needs to interact with macOS desktop applications, including opening apps, clicking buttons, toggling settings, filling forms, reading UI state, automating System Settings, controlling Finder, Safari, or any native app.
Complete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.
AI-powered OSINT agent with interactive REPL, MCP server, and CLI for email/username/domain/IP/phone investigation using 11 integrated tools
Full-featured Agent Skills management: Search 35+ skills, install locally, star favorites, update from sources. Use when looking for skills, installing new skills, or managing your skill collection.