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Found 1,211 Skills
Browse the web using the user's real Chrome browser — already logged in, with real cookies and extensions. No headless browser. Uses BrowserForce relay + Playwright API via CLI.
AI-powered code review via the OpenAI Codex CLI. This skill should be used when reviewing branch diffs before merging a PR, auditing uncommitted changes during development, inspecting a specific commit, performing custom-scoped reviews, or whenever changes touch security-sensitive paths or exhibit risky patterns.
Search for tokens, wallets, or entities by name or address. Use when you have a token name and need the full address, or want to find an entity.
What is Nansen's signal model read on this token right now?
通过兔子API进行AI视频生成。支持 Veo、Sora、Kling、Seedance 等模型，单视频和长视频（多段合成）模式。当用户要求生成视频、创建视频或需要视频生成后端时使用。
Deterministic plan lifecycle management via scripts/plan-manager.py CLI. Use when user asks to list, show, create, check, complete, or abandon plans, or when session starts and stale plans need surfacing. Use for "check plans", "what's on our plan", "mark task done", "finish this plan", or "create a plan". Do NOT use for executing plan tasks, modifying plan content directly, or performance/refactoring work unrelated to plan tracking.
Bitcoin Name System (BNS) operations — lookup names, reverse-lookup addresses, check availability, get pricing, list domains, and register new .btc names using single-transaction claim or two-step preorder/register flow.
Read LinkedIn for financial research using opencli (read-only). Use this skill whenever the user wants to read their LinkedIn feed, search for jobs in the finance/trading industry, view professional posts about markets or earnings, or gather professional sentiment from LinkedIn. Triggers include: "check my LinkedIn feed", "search LinkedIn for", "LinkedIn posts about", "what's on LinkedIn about AAPL", "finance jobs on LinkedIn", "LinkedIn market sentiment", "who's posting about earnings on LinkedIn", "LinkedIn feed", "professional network buzz", "what are analysts saying on LinkedIn", any mention of LinkedIn in context of reading financial news, market research, job searches, or professional commentary. This skill is READ-ONLY — it does NOT support posting, liking, commenting, connecting, or any write operations.
Make raw authenticated HTTP requests to any Glean REST API endpoint. Use when no dedicated command exists or for advanced API access.
MindOS is the user's local knowledge assistant and shared knowledge base. It keeps decisions, meeting notes, SOPs, debugging lessons, architecture choices, research findings, and preferences available across sessions and agents. 更新笔记, 搜索知识库, 整理文件, 执行SOP/工作流, 复盘, 追加CSV, 跨Agent交接, 路由非结构化输入到对应文件, 提炼经验, 同步关联文档. NOT for editing app source, project docs, or paths outside the KB. Core concepts: Space, Instruction (INSTRUCTION.md), Skill (SKILL.md); notes can embody both. Trigger on: save or record anything, search for prior notes or context, update or edit a file, organize notes, run a workflow or SOP, capture decisions, append rows to a table or CSV, hand off context to another agent, check if something was discussed before, look up a past decision, distill lessons learned, prepare context for a meeting, quick-capture to staging area, organize inbox, check knowledge health, detect conflicts or contradictions, find stale content. Chinese triggers: 帮我记下来, 搜一下笔记, 更新知识库, 整理文件, 复盘, 提炼经验, 保存, 记录, 交接, 查一下之前的, 有没有相关笔记, 把这个存起来, 放到暂存台, 整理暂存台, 知识健康检查, 检测知识冲突. Proactive behavior — do not wait for the user to mention MindOS: (1) When user's question implies stored context may exist (past decisions, previous discussions, meeting records) → search MindOS first, even if they don't explicitly mention it. (2) After completing valuable work (bug fixed, decision made, lesson learned, architecture chosen, meeting summarized) → offer to save it to MindOS for future reference. (3) After a long or multi-topic conversation → suggest persisting key decisions and context.
Agnostic tunnel management supporting Cloudflare, Tailscale, and other providers. Inspired by ZeroClaw's agnostic tunnel architecture.
Command-line interface for Ollama - Local LLM inference and model management via Ollama REST API. Designed for AI agents and power users who need to manage models, generate text, chat, and create embeddings without a GUI.