Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Search and query past Claude Code and Codex 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.
Michael Polanyi's thinking framework. Analyze tacit knowledge, skill acquisition, transmission of experience, apprenticeship, knowledge management, learning methods, the boundaries of AI/tool replacement, scientific communities and post-critical philosophy from Polanyi's perspective. Use when the user asks "用 Polanyi 的视角", "Polanyi 会怎么看", "tacit knowledge", "为什么说不清楚", "怎么传承经验", "SOP 为什么执行不到位", "知识管理", or "师徒制".
protocols.io REST API: search and fetch wet-lab, bioinformatics, and clinical protocols by keyword, DOI, or category, with steps, reagents, materials, equipment, timing. Public access free; auth needed for private or publishing. Pair with opentrons-protocol-api or benchling-integration to execute.
Deep multi-perspective reasoning via parallel isolated subagents + Codex deliberation host, with final Markdown + HTML + PDF report output. Use for complex questions, tech decisions, social topics, architectural choices, hard analysis, or any question worth thinking harder about. Triggers include 深度分析, 多角度推理, 验证答案, heavyskill, think harder, 让我们深入思考, 推敲一下, 讨论一下, 分析利弊. Do not use for simple factual lookups or routine tasks.
Use when the user wants an AI interview to clarify experiences or unfinished thoughts, or to turn a completed interview record into a knowledge draft. Through continuous, non-leading interviews, it organizes unclear experiences, insights, expertise, and judgments into checkable, reusable knowledge. Always deliver the complete interview transcript and a coherent knowledge draft, with independently developable topics and material to explore listed separately at the end (topics are a by-product; standalone topic selection is not offered). Triggers: “interview me,” “help me talk through my ideas,” “help me clarify my experience,” /qws-interview, or “organize this interview record.” Do not use for transcription, standalone topic selection, or polishing an existing draft
Task management CLI tool for command-line management of Super Productivity data. Supports task management, counter management, project management, viewing today's status and more. Triggered when the user mentions super-productivity, sp task management, or command-line task management.
Your team has high autonomy — and standups are vague, weekly meetings drift into status reports, and 1:1s produce nothing but "I'm fine." This playbook fixes all three layers at once. What's inside: • Daily Standup system — 3-field format, good sample, 4 COO principles to keep it honest • Weekly Meeting — strict 25-min agenda, Scrum Master rotation, 0–10 pulse check • 1:1 Framework — 9-dimension quantified pulse, 5-group deep question bank, bilateral feedback structure • Diagnostic layer — "stuck-at" detection: info / authority / collaboration / capability / direction • FAQ for 4 common failure modes (dead standups, status-report meetings, "I'm fine" 1:1s, scaling beyond 10 people). Triggers: "团队 motivation" | "standup 没人写" | "例会变成汇报" | "1:1 问不出真话" | "高自由度团队管理" | "COO 如何管人" | "team motivation" | "standup best practices" | "1on1 framework" | "weekly meeting template" | "チームモチベーション" | "팀 동기부여" | "AI startup team ops" | "remote team alignment" | "engagement下降"
Create structured project tickets from user intent. Use when the user wants to create a ticket, formalize a feature request, document a bug or task, or turn a conversation into a structured ticket. Handles project prefix detection, ticket numbering, and context gathering automatically.
Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally. Optionally analyze transcripts with AI when explicitly requested. Use when users provide URLs to media content and request transcription or speech-to-text conversion.
Access USPTO patent data via PatentsView REST API and Google Patents Public Data (BigQuery). Search by inventor, assignee, CPC, or keywords; download metadata and claims; analyze portfolios; track tech trends. For IP landscape analysis, competitor monitoring, prior art search, and tech forecasting in life sciences and biotech.
Downloads videos from URLs and generates a Markdown summary for each one using the Gemini API. Supports custom prompts to extract specific information instead of the default summary. Each video is saved in its own subfolder containing the MP4 file and a summary.md. Use this skill when the user provides video URLs directly, or a file (Markdown, TXT, or any text file) containing video URLs, and wants both the video downloaded and summarized. Triggers on requests like "download and summarize these videos", "fetch these links and summarize", "process this list of video links", "extract X from these videos", or when given a file with URLs and asked for summaries. Supports Instagram, YouTube, TikTok, Twitter/X, Facebook, and 1000+ other platforms. Requires GEMINI_API_KEY environment variable.
Fetch transcripts, metadata, and captions from YouTube videos. Use when you need to summarize a video, answer questions about its content, extract key points, compare videos, or pull quotes with timestamps. Supports auto-generated and manual captions, multiple languages, and translation.
MUST USE when the user wants to research, search, look up, or find anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic. Also MUST USE when the user mentions any platform or shares any URL/link: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. Supports 13 platforms with multi-backend routing (OpenCLI / per-platform CLIs / APIs). Six channels require no configuration. Run `agent-reach doctor --json` to see which backend currently serves each platform. NOT for: content processing such as writing reports, data analysis, or translation (this skill only retrieves content from the internet); write actions such as posting, commenting, or liking; platforms with a dedicated skill (use the dedicated skill first). [Routing] SKILL.md contains the routing table and common commands; for complex scenarios, read the relevant references/*.md by category as needed. Categories: search / social (小红书/推特/B站/V2EX/Reddit) / career (LinkedIn) / dev (github) / web (webpages/articles/RSS) / video (YouTube/B站/podcasts).
Use this skill when the user wants to operate Airtap or complete a request through a mobile app on an Airtap device. It lists receivers and models, creates Airtap tasks, monitors them locally by default, sends follow-up messages, cancels tasks, updates user location, and can mirror progress updates into OpenClaw when needed.
Use when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (`qwen3-asr-flash`, `qwen-audio-asr`, `qwen3-asr-flash-filetrans`). Use when converting recorded audio files to text, generating transcripts with timestamps, or documenting DashScope/OpenAI-compatible ASR request and response fields.
Search and retrieve preprints from arXiv via the Atom API by keywords, authors, arXiv IDs, date ranges, or subject categories. Use when finding or fetching papers in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, or economics, or resolving an arXiv ID to its metadata and PDF. Part of the AlterLab Academic Skills suite.
Manages citations for academic research — searches Google Scholar and PubMed for papers, extracts complete metadata from DOIs, PMIDs, and arXiv IDs (CrossRef, doi.org content negotiation, NCBI E-utilities, arXiv API), validates BibTeX entries for required fields, format, and duplicates, and generates or cleans properly formatted BibTeX. Use when finding papers, converting DOIs to BibTeX, cleaning or deduplicating a .bib file, checking reference metadata in scientific writing, or building a bibliography. To prove that cited references actually exist or to flag fabricated or retracted citations prefer alterlab-citation-verifier; for Zotero library operations use alterlab-pyzotero. Part of the AlterLab Academic Skills suite.
Look up current research and scholarly papers by auto-routing each query to the best backend — the Parallel Web Systems Chat API (general research) or Perplexity sonar-pro-search via OpenRouter (academic paper searches) — and save every result with citations to sources/. Use when finding papers, gathering research data, verifying scientific claims, or assembling citation lists and unsure which search backend fits. For plain general web search or extracting content from a known URL prefer alterlab-parallel-web; to call Perplexity directly with a chosen Sonar model prefer alterlab-perplexity. Part of the AlterLab Academic Skills suite.
Creative research ideation and exploration for open-ended brainstorming, surfacing interdisciplinary connections, challenging assumptions, and identifying research gaps. Use when starting early-stage research planning with no specific observations yet — for open-ended brainstorming sessions, exploring cross-disciplinary connections, or finding gaps. For formulating testable hypotheses from observations or data use alterlab-hypothesis-gen; for grading evidence or spotting design flaws use alterlab-scientific-thinking. Part of the AlterLab Academic Skills suite.
Draft, critique, and revise concise cold emails to professors for PhD applications, research internships, RA opportunities, lab rotations, or prospective-supervisor outreach. Use this skill whenever the user wants to contact a professor, ask about PhD openings, request a meeting, introduce their research background, mention a paper, follow up politely, or convert professor-fit notes into an email. This skill should trigger even if the user says "email a PI", "message a potential advisor", "reach out to faculty", or "cold mail" rather than "cold email".
Read, explain, create, and edit BPMN 2.0 business-process diagrams (.bpmn XML). Use this whenever the user opens, reviews, summarizes, models, or modifies a process/workflow as BPMN - including swimlanes, pools, lanes, gateways, tasks, events, sequence flows, or boundary events. Trigger even when the user does not say "BPMN" explicitly but works with a .bpmn file, a process model/diagram, a workflow description they want turned into a diagram, or Camunda/Zeebe/Flowable/ bpmn.io models. Produces valid BPMN 2.0 XML with a clean, auto-generated layout.
Structured disagreement protocols that expose weaknesses, test assumptions, and generate alternatives. Use when stress-testing proposals, playing devil's advocate, challenging architectural decisions, or auditing assumptions before finalizing plans.
Distill a long book into a concise, structured set of learnings by processing it chapter by chapter with parallel subagents, then synthesizing the result -- optionally into a Claude Code skill. Works for any format the book comes in -- PDF, EPUB, Markdown, HTML, plain text. Use this skill whenever the user wants to summarize, distill, extract the core ideas from, or "turn into a skill" a book, ebook, manual, or other long-form document that is too large to read in one pass. Triggers include "distill this book", "summarize this book chapter by chapter", "extract the key principles from this PDF/ebook", "make a skill out of this book", or handing over a large multi-chapter document and asking what to learn from it.
Designs fast, reliable validation experiments with hypothesis, method, success metric, and decision rules (Ship/Iterate/Kill). Use when you need to validate an assumption or test a product hypothesis before committing resources.
Scrape web pages to clean markdown using Firecrawl v2 — handles JS-heavy pages, site crawls, URL mapping, document parsing (PDF/DOCX/XLSX), LLM-powered extraction, autonomous agent scraping, and post-scrape browser interaction (Interact API). Free keyless mode available for search/scrape/parse/interact (no API key needed). Prefer over WebFetch for quality and completeness. Triggers on scrape URL, fetch page, crawl site, extract content, parse document, web to markdown, DeepWiki, Firecrawl.
Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections. Use when asked to garden, clean up, prune, or tidy a Paperclip inbox without changing issues, branches, or workspaces.
Perform Google Calendar operations (viewing, creating, updating, deleting events) with gog CLI (v0.10.0). Triggers on "what's on today?", "tomorrow's schedule", "add a meeting", "register an event", "check my calendar", "cancel an event", "create a Google Meet", etc.
Senior product manager assistant, offering comprehensive product management support including PRD document creation and review, product strategy consulting, retention growth analysis, competitive research, and feature prioritization. Suitable for creating or reviewing product documents such as PRD/MRD/BRD/user stories; diagnosing product issues (low retention, poor conversion, growth bottlenecks) and providing actionable strategies; conducting competitive analysis and market research; designing feature plans and optimizing user experience. Use this skill when the user mentions product management topics such as "PRD", "requirements document", "product planning", "user retention", "feature design", "competitive analysis", "product metrics", "growth strategy", "user experience optimization", "feature prioritization". It should also be triggered even if the user does not explicitly say "product" but discusses App feature design, user growth, business models, requirements analysis, etc.
Enter a project idea or GitHub link to automatically search for related open-source projects and generate a structured analysis report (tech stack/strengths and weaknesses/score), and download the code packages of the top 3 highest-scoring projects. Supports both intent-based search and direct-link analysis modes.
Relentless Socratic interview that walks down every branch of a plan or design, resolving decisions one-by-one. Trigger ONLY when the user explicitly says "grill me" or the PT equivalent "me grille". Do NOT trigger for stress-test, poke holes, devil's advocate, challenge, review, or feedback requests.
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.