Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Plan and prioritize product roadmaps using frameworks like RICE, MoSCoW, and ICE. Use when creating a roadmap, reprioritizing features, mapping dependencies, choosing between Now/Next/Later or quarterly formats, or presenting roadmap tradeoffs to stakeholders
Internal sub-skill for job-hunt suite. Performs STAR alignment analysis per JD, then generates 3-piece tailored output (resume.md / opener.md / changelog.md). Enforces strict ethical boundaries — never fabricates experience or numbers. Do NOT invoke directly — use the job-hunt main skill instead.
When you want to clean and reformat content (usually from your terminal) for pasting into Slack, Notion, Twitter/X, LinkedIn, email, GitHub, or plain text. Strips ANSI codes, box-drawing characters, and terminal prompt artifacts, and applies destination-specific formatting. Default input is the system clipboard; default output is both the clipboard and a chat preview. Triggers on "/paste", "/paste [destination]", "clean this for X," "format for slack/notion/twitter/linkedin/email/github," "render as markdown," "paste-ready," "strip formatting," "make this copy-pastable." Default destination is plain. Also scans for secrets (API keys, tokens, .env values) and warns before copying anything sensitive.
Picks the form that explains best and applies the house explanation style: plain prose, controlled English modelled on ASD-STE100, a diagram, an interactive HTML page, or a narrated explainer video. Use when asked for “ELI5”, “plain English”, “re-pitch that”, “stop using jargon”, “explain it in STE100”, “draw me a diagram of how this works”, “make an interactive explainer”, or “make a 3b1b style video on X”.
This skill should be used when the user needs to know what documents to collect for their tax filing, wants a checklist of required documents, or asks where to obtain specific tax documents. Trigger phrases include: "必要書類", "書類を集める", "何を準備すればいい", "源泉徴収票はどこで", "書類チェックリスト", "確定申告に必要なもの", "書類収集", "準備するもの".
Internal sub-skill for job-hunt suite. Parses job description information from user-provided screenshots of any job platform (Boss直聘, 智联招聘, 前程无忧, 猎聘, etc.) and writes structured JD markdown files to jd-pool. Do NOT invoke directly — use the job-hunt main skill instead.
Lark OKR: manage objectives and key results. View and edit OKR cycles, objectives, key results, alignment relationships, quantified metrics, and progress records. Use when users need to view or create OKRs, manage objectives and key results, or view alignment relationships. Does not handle: to-do task management (lark-task), scheduling/meetings (lark-calendar), performance reviews.
Reconcile session outcomes into persistent project memory files. Updates project state, backlog, and status via section-aware merging — not a session dump. Use at the end of any significant work session. Use when: 'session close', 'close session', 'save session', 'update memory', 'wrap up', 'end of session', or before ending a big session.
Use when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time. Pairs Lean / Six Sigma / Theory-of-Constraints canon with deterministic stdlib-only Python tools to produce a process map, a ranked bottleneck list (with severity + root-cause hypothesis), and a cycle-time analysis (P50, P90, value-add ratio, Little's-Law throughput). Distinct from sales-pipeline, system-reliability (SLO), and strategic-OKR work — this is tactical process documentation for internal operations
Generate a professional, detailed, figure-rich LaTeX course note and final PDF from a YouTube lecture, tutorial, or technical talk. Use when the user provides a YouTube URL and wants structured Chinese teaching notes that combine the video's title, chapters, diagrams, formulas, code, subtitle explanations, the original video cover on the front page, and a final synthesis chapter, with key frames extracted from the highest usable video resolution and inserted as figures, and where the final deliverable must include a rendered PDF.
Fetch and parse WeChat Official Account articles. Extract the title, author, account name, body, images, and metadata from WeChat article links. Use when the user provides a WeChat article link (mp.weixin.qq.com/s/...) and wants to read, extract, download, or convert the article content. Use cases include fetching or downloading WeChat articles, extracting article text or metadata, converting articles to Markdown, and saving articles with images locally. Keywords: WeChat Official Account, article fetching, article scraping, article download
Analyze Google Takeout exports of Gemini conversation history. Use when the user mentions Gemini takeout, Gemini export, Gemini history, Gemini conversation analysis, Google Takeout zip analysis, or drags a takeout zip into the project. Also use when the user asks to "analyze my Gemini data", "what did I talk to Gemini about", or wants to extract insights from Gemini chat logs.
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict. Based on Karpathy's LLM Council methodology. MANDATORY TRIGGERS: 'council this', 'run the council', 'war room this', 'pressure-test this', 'stress-test this', 'debate this'. STRONG TRIGGERS (use when combined with a real decision or tradeoff): 'should I X or Y', 'which option', 'what would you do', 'is this the right move', 'validate this', 'get multiple perspectives', 'I can't decide', 'I'm torn between'. Do NOT trigger on simple yes/no questions, factual lookups, or casual 'should I' without a meaningful tradeoff (e.g. 'should I use markdown' is not a council question). DO trigger when the user presents a genuine decision with stakes, multiple options, and context that suggests they want it pressure-tested from multiple angles.
Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Use when the user provides meeting notes, transcripts, or recordings and needs structured summaries or action tracking.
Create organized, visual study notes with folder structures, diagrams, and example-based learning from source materials (PDFs, lecture notes, documentation). Use when creating structured learning materials, exam preparation notes, or educational documentation. Triggers - organize study notes, create visual learning materials, generate notes with diagrams, exam prep notes, example-based learning.
End-to-end trip planning: gather user constraints, build a reference itinerary, research locations and dining signals via 大众点评 + 小红书, then generate an interactive, mobile-first map page (Leaflet + timeline) and optionally deploy to Vercel. Use when the user asks to plan a trip, create an itinerary, research restaurants on 大众点评/小红书, build a trip map page, or says "行程规划", "行程地图", "trip map", "plan my trip", or "做个行程". Covers the full pipeline from scattered inputs (screenshots, wishlists) to a deployable reference map with navigation links, 小红书 links, payment info, and reservation buttons.
Interact with Google Chat - send, read, edit, delete and react to messages, share images and files, reply in threads, and manage spaces and DMs. Use when user asks to: send a message on Google Chat, read chat messages, list chat spaces, find a chat room, send a DM, share a screenshot or file, edit or delete something already sent, or create a new space. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.
A spaced repetition learning coach for Metabase. Use this skill whenever the user wants to: learn Metabase, start a Metabase training session, do a Metabase review, practice Metabase concepts, check what they should study today, get quizzed on Metabase, run through active recall on BI tools, or follow a structured learning program for data analytics software. Trigger this skill even if the user just says "let's do my Metabase session", "quiz me on Metabase", or "what should I study today?" in a Metabase learning context.
Manage and trigger pre-built Zapier workflows and MCP tool orchestration. Use when user mentions workflows, Zaps, automations, daily digest, research, search, lead tracking, expenses, or asks to "run" any process. Also handles Perplexity-based research and Google Sheets data tracking.
Feishu Markdown: view, create, upload, edit, and compare native Markdown files in Feishu. Use when users need to operate on Feishu Markdown files or compare their remote versions with local drafts. Purely local Markdown file operations do not trigger this skill. Does not handle importing Markdown as Feishu online documents or cloud storage management such as file search, permissions, comments, moving, or deleting.
When you want multiple expert perspectives on a founder/operator question — a simulated board of advisors (Jason Fried, Elon Musk, Jeff Bezos, Jensen Huang, Bob Iger, Paul Graham, Naval Ravikant, Sara Blakely, Jason Cohen). Bring a real decision — "should I raise prices?", "hire my first employee?", "raise or bootstrap?", "kill this project?" — and the council weighs in through documented frameworks, surfaces disagreements, and synthesizes a recommendation. Also use for 'maker council,' 'board of advisors,' 'what would Bezos do,' 'what would Jason Fried say,' 'channel Naval,' 'ask the council,' or how a famous founder would approach a problem. Optional live-research pass via deep-research / watch-video / last30days. Marketing questions go to marketing-skills' marketing-council. Archives to ~/.config/makerskills/maker-council/archive/. To commit to a direction, hand off to decide.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs
Search, qualify, and enrich people and companies. Use this skill whenever the user wants to find professionals, candidates, or KOLs by title, company, location, seniority, or audience; enrich known contacts with email, phone, or LinkedIn; research companies for industry, funding, tech stack, or hiring activity; look up someone's contact info; source candidates for recruiting; generate B2B lead lists; or perform background web research on people or organizations. Trigger this skill even when the user doesn't explicitly say “search” or “enrich” — any mention of finding contacts, sourcing, prospecting, looking up a person or company, or gathering business intelligence should activate it.
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
SCAMPER (Bob Eberle) — run one existing idea, product, or process through seven systematic transformations: Substitute, Combine, Adapt, Modify/Magnify, Put to other use, Eliminate, Reverse/Rearrange. Use when there is already one working idea and the need is disciplined variations of it, e.g. "give me variations", "riff on this", "scamper", "what can we substitute or combine", "remix this feature". Do NOT use for analytical work like debugging, code review, or implementation tasks, and not for blank-page ideation (needs an existing idea as input).
Search the session-brain graph for a past agent session by topic and load the winning transcript into the current conversation. Use for finding which session handled X, when Y was last worked on, or whether this was done before. Read-only; requires a session-brain graph.
Parallel thinking with six enforced perspectives, based on Edward de Bono's Six Thinking Hats® method. Examine one decision through sequential passes for facts, feelings, risks, benefits, alternatives, and synthesis without blending them. Use when a decision is being made too quickly or from one angle, when everyone agrees suspiciously quickly, when a discussion mixes emotions with data, or for "six hats", "thinking hats", "look at this from every angle", or "structured devil's advocate". Do NOT use for analytical work like debugging, code review, or implementation tasks.
Manage time effectively as a solopreneur to maximize productivity and avoid burnout. Use when struggling with focus, feeling overwhelmed, context-switching too much, or wanting to optimize daily routines. Covers time-blocking, deep work, energy management, distraction elimination, and sustainable productivity systems. Trigger on "time management", "productivity", "focus", "get more done", "manage my time", "deep work", "avoid burnout", "daily routine".
Audit recent work in a folder and produce a forward-looking self-improvement report. Reviews files modified in the past week, git activity, file-type distribution, and recurring task patterns; writes a 5-section weekly-setup-improvements.md with concrete updates for context files, ideas for new skills, workflow gaps to close, files to clean up, and what's working well enough to leave alone. Cross-platform; safe to schedule weekly via /schedule. Use when: 'weekly review', 'weekly self audit', 'improve my setup', 'what should I clean up', 'suggest new skills', 'self improvement loop', 'weekly setup improvements', or before a planning week.
Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio/Video Overviews, Mind Maps, Reports incl. Briefing Doc/Study Guide/FAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.
Prepares meeting materials by gathering context from Notion, enriching it with Claude research, and creating both an internal pre-read and an external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs
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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.