Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Daily triage of Wilma school notifications for Finnish parents. Fetches exams, messages, news, schedules, homework, and lesson notes (merkinnät)—filters for actionable items, downloads and reads important bulletin attachments, syncs exams to the family calendar, and reports via chat. Requires the `wilma` skill (WilmAI MCP tools or wilma CLI); calendar sync uses whatever calendar tool the agent has (e.g. the `gog` CLI on OpenClaw, or a calendar connector)
Web research skill using Tavily API for search, extract, crawl, map, and structured research tasks. Use when you need the latest information, to extract content from URLs, or to discover site structure. Triggers: tavily, web search, search web, latest info, extract, crawl, map, research, 搜索网页, 查资料, 最新
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the codebase or domain is unfamiliar, the user will "know it when they see it", a reference implementation must be understood before porting, mid-build deviations from the plan need capturing, or a finished change needs buy-in or verified understanding before merge. Pairs with [write-spec](../write-spec/SKILL.md) — walk the quadrants to burn off fog before slicing, and feed the finished map into the spec.
All-purpose Feishu/Lark operations Agent (messages/documents/bitable/calendar/tasks/users). Skill selection rules: - Send a plain text message → this skill (msg send) - Send rich text/cards → feishu-post / feishu-card - Check attendance → feishu-attendance - All other Feishu operations → this skill. Trigger phrases (any match invokes it): send Feishu, message someone, check group messages, reply on Feishu, search Feishu messages, list group chats, create a Feishu doc, read a Feishu doc, check bitable, add a bitable record, update a table, Feishu calendar, check schedule, add an event, Feishu tasks, create a task, complete a task, check Feishu users, find a contact, get open_id
An intelligent multi-source content processor that supports WeChat Official Accounts, web pages, YouTube, podcasts (Xiaoyuzhou/Ximalaya), PDF, Markdown, and more. Automatically uploads content to NotebookLM and generates podcasts, PPTs, mind maps, and other formats. Supports deep analysis mode and automatic creation of Feishu documents.
MindOS is the user's local knowledge assistant and a knowledge base shared across sessions and Agents. It stores decision records, meeting notes, SOPs, troubleshooting experience, architecture choices, research findings, and preferences. Tasks are limited to the mindRoot knowledge base. Do not use it to modify code repositories, project source code, or paths outside the KB. Core concepts: spaces, instructions (INSTRUCTION.md), and skills (SKILL.md); notes can contain instructions and skills. Trigger scenarios: saving or recording anything; searching historical notes or context; updating or editing files; organizing or restructuring files; executing an SOP or workflow; capturing decisions from conversations; reviewing or summarizing experience; appending table or CSV data; handing off context across Agents; distilling lessons learned; syncing related documents; checking whether something was discussed before; querying past decisions; finding templates or SOPs; preparing context for a meeting; quickly saving to the inbox; organizing the inbox; checking knowledge health; detecting knowledge conflicts or contradictions; and finding outdated content. Trigger phrases: remember this for me, search my notes, update the knowledge base, organize files, run the workflow, save to the knowledge base, make a note, organize notes, review, distill lessons, sync documents, check previous records, are there related notes, what did I write before, save this, summarize and save, hand this off to another Agent, append to the table, put it in the inbox, organize the inbox, check knowledge health, detect knowledge conflicts. Proactive behavior—don't wait for the user to mention MindOS: (1) If the user's question suggests historical records may exist (past decisions, previous discussions, meeting notes), search MindOS first, even if they don't explicitly mention the knowledge base. (2) After completing valuable work (fixing a bug, making a decision, summarizing experience, choosing an architecture, or finishing a meeting), proactively suggest saving it to MindOS for future reference. (3) After a long or multi-topic conversation, suggest preserving key decisions and context.
Turn fuzzy work into one honest estimate packet by choosing the right sizing horizon, naming confidence and uncertainty, and separating discovery from delivery before anyone treats the number like a promise. Use when the user needs story points, t-shirt sizing, planning-poker prep, forecast-safe language, split-or-spike guidance, or cross-functional sizing across developer workflow, web/fullstack, product/ops, marketing/GTM, or game work. Route decomposition to `task-planning`, daily coordination to `standup-meeting`, and retrospective process learning to `sprint-retrospective`.
Search the web using DuckDuckGo via the ddgr CLI tool. Use when the user asks to search the web, look something up online, find information on the internet, get instant answers, or needs current/real-time data. Also use for DuckDuckGo Bang searches (e.g., "!w" for Wikipedia, "!so" for StackOverflow).
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
Automate all Feishu (Lark) channels. Use the lark-mcp tool to work with Feishu Bitable, send messages, manage documents, create groups, automate workflows, and more. Use this skill when the user needs to operate the Feishu platform, sync data to Feishu tables, send Feishu notifications, manage Feishu documents, or automate Feishu business processes.
Curate a Chinese reading digest from a fixed bundle of RSS and Atom feeds, with a strong preference for AI agent thinking, frontier AI commentary, deep interviews, and non-boring high-signal essays. Use when Codex needs to pull the latest week's posts by default, or a specific day's posts when explicitly requested, summarize them, score each article on a 10-point scale, and output only the posts scoring above 7 in a concise Chinese daily-brief style.
Search and query past Claude Code, Codex, Kimi Code, Kiro, OMP, and Pi session history. Reactive: when the user asks "how did I fix X", "what did we do last time", "find the session where", "上次怎么修的", "之前的session", "历史记录". Proactive: when the user references past work you lack context for, when you're about to modify a file with complex edit history, when the user says "继续之前的" or "continue where we left off", or when understanding prior decisions would improve your current response. Memory: when the user says "记住这个", "remember this", "写入记忆", "save this conclusion", or when you determine a retrieval result contains a conclusion worth persisting.
Generate LaTeX exam cheatsheets from course materials (PDF/PPTX/MD/images). Use when the user says "generate cheatsheet", "make a cheat sheet", "create exam reference sheet", "condense notes", or has course materials to turn into a compact LaTeX exam review sheet.
Use when asked to "shape up", "run a shaping session", "set an appetite", "scope a project without estimates", "betting table", or "ship in fixed cycles". Helps teams escape estimate-driven development and Scrum fatigue. The Shape Up method (created by Ryan Singer at Basecamp/37signals) uses fixed time boxes, variable scope, and collaborative shaping to ship meaningful work predictably.
/c-level-agents:brief [topic] — Generate a one-page strategy brief from an office-hours intake. First step in the strategic sprint pipeline. Use when a strategic question needs to be framed before boardroom deliberation — e.g. locking options, assumptions, and success criteria for a pricing change or a market-entry decision.
Browser automation with two integrations - Chrome DevTools MCP (always available, performance tracing) and Claude-in-Chrome extension (authenticated sessions, GIF recording). Use DevTools for testing/debugging, Claude-in-Chrome for authenticated workflows.
Break down complex problems to their fundamental truths, then reason up from there. Master Aristotle's ancient method modernized by Elon Musk to solve seemingly impossible problems. Use when: **Facing a \"impossible\" problem** where conventional solutions don't work; **Challenging industry assumptions** that everyone accepts as truth; **Pricing or cost analysis** to find dramatic savings (like Musk with batteries); **Product innovation** when iterating on existing solutions isn't enough; **Str...
Use when asked to "set OKRs", "objectives and key results", "quarterly OKR planning", "align objectives", "measure OKR progress", or "focus priorities with OKRs". Helps teams focus on what matters most and create a cadence of progress. The OKR framework (originated by Andy Grove at Intel, popularized by John Doerr at Google) creates alignment, focus, and learning cycles. Christina Wodtke's Radical Focus approach emphasizes simplicity and avoiding common pitfalls.
Use this skill whenever the user mentions 微信读书, WeRead, 书架, 读书时间, 读书笔记, 划线, or wants to do anything with their personal reading data. This includes: book search (搜书/找书), shelf inspection, reading progress and time, notes and highlights export, book reviews, reading statistics (weekly/monthly/annual/overall), personalized recommendations, and first-time API key setup. Always use this skill before running any WeRead-related commands — it provides the correct CLI abstractions, domain rules, and error handling patterns.
Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimentation Memory M_E (reusable strategies for data processing, model training, architecture, debugging). Three evolution mechanisms: IDE (after research-ideation), IVE (after experiment failure — classifies failures as implementation vs fundamental), ESE (after experiment success — extracts reusable strategies). Use when: updating memory after completing research-ideation cycles or experiment pipelines, classifying why a method failed (implementation vs fundamental failure), starting a new research cycle needing prior knowledge, user mentions 'update memory', 'classify failure', 'what worked before', 'research history', 'evolution'. Do NOT use for running experiments (use experiment-pipeline), debugging experiment code (use experiment-craft), or generating ideas (use research-ideation)
/c-level-agents:post-mortem [decision] — Honest retrospective on an executed decision, scored against original assumptions and dissent. Closes the strategic sprint loop. Use when a decision hits its 90-day review checkpoint or its kill criteria trigger — e.g. scoring last quarter's pricing change against its pre-committed success metrics.
Run a bounded cross-platform landscape scan before planning or implementation. Use when the real job is researching what exists, how people work around it, which solutions repeat, or how platform/tooling patterns map before deciding what to build. Produce reusable `.survey/{slug}/` artifacts, validate the artifact contract, and route planning or execution outward only after the survey is done.
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
Search, read, and manage Outline wiki documents. Use when: (1) searching wiki for documentation, (2) reading wiki pages or articles, (3) listing wiki collections or documents, (4) creating or updating wiki content, (5) exporting documents as markdown. Works with any Outline wiki instance (self-hosted or cloud).
One-time setup skill that builds a personalized inbox triage knowledge base via interactive interview. Interviews the user about their email patterns, business context, reply style, and priorities using grill-me discipline (one question at a time, forcing format where possible, dependency-ordered, each question explains why I'm asking), then generates the knowledge base files that power the companion 'inbox-triage' skill. Run this once before using inbox-triage for the first time. Re-run when business, pricing, or priorities change significantly. Triggers: 'set up my inbox', 'configure inbox triage', 'set up my email system', 'configure email triage', 'build my email knowledge base', 'initialize email management', 'set up inbox triage', 'onboard email triage', or any variation where someone wants to get the email triage system running for the first time
Make AI phone calls, buy phone numbers, and get call transcripts via x402. USE FOR: - Making AI-powered outbound phone calls - Scheduling calls and getting transcripts - Buying and managing phone numbers - Leaving voicemails - Transferring calls to humans - Checking if a number has iMessage/FaceTime TRIGGERS: - "call", "phone call", "make a call", "dial" - "buy number", "phone number", "get a number" - "voicemail", "leave a message" - "transcript", "call recording", "call summary" - "AI call", "automated call", "bland" - "imessage", "facetime", "check number", "lookup number" ALWAYS use `npx agentcash@latest fetch` for stablephone.dev endpoints. IMPORTANT: Use exact endpoint paths from the Quick Reference table below.
Create structured plans for any multi-step task -- software features, research workflows, events, study plans, or any goal that benefits from structured breakdown. Also deepen existing plans with interactive review of sub-agent findings. Use for plan creation when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', 'plan a trip', 'create a study plan', or when a brainstorm/requirements document is ready for planning. Use for plan deepening when the user says 'deepen the plan', 'deepen my plan', 'deepening pass', or uses 'deepen' in reference to a plan.
Use when the agent wants to define, list, inspect, or execute GUI macros via the MacroCLI CLI. Macros are parameterized, CLI-callable workflows — the agent invokes `macro run <name>` and the system handles backend routing (plugin, file transform, accessibility, compiled GUI replay).
Use this skill when the user requests research using FireCrawl, enrichment of notes with web sources, searching and scraping information, or writing scientific/academic papers. It extracts research topics from markdown files, creates research documents with scraped sources, generates BibTeX bibliographies from research results, and provides Pandoc/MyST templates for academic writing with citation management
/c-level-agents:decide [memo] — Log a decision to two-layer memory via decision-logger. Approved memo becomes durable; raw transcripts kept for reference. Use when the founder has approved a boardroom memo and the decision must become durable company memory — e.g. right after /c-level-agents:boardroom concludes.
Tail Digg's news cycle, GitHub feeds, and pipeline events from the terminal—read-only, with rank-history nobody else surfaces. Trigger phrases: `what's trending on Digg`, `digg top stories`, `digg github stars`, `digg github recent`, `what climbed the AI news rankings`, `digg leaderboard`, `what got replaced on Digg`, `tail the Digg pipeline`, `use digg`, `run digg-pp-cli`.
Re-explain the previous assistant message, or any text typed after the command, in a much simpler way. For when a reply made you go 'bro what'. Use /bro for a plain-language version of the last answer, or /bro <text> to simplify a pasted paragraph, error, email, or doc
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.