Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Multimodal knowledge pipeline skill — ingest documents (PDF/image/video/Office) into a persistent knowledge wiki, supporting knowledge fusion, cross-source contradiction detection, multi-source aggregate queries, and knowledge graph construction. Trigger this skill when the user mentions ingesting documents, building a knowledge base, querying the wiki, checking consistency, building a knowledge graph, document analysis, multimodal understanding, data pipelines, and similar needs. Even if the user does not explicitly say pipeline or knowledge-pipline, this skill should trigger whenever the task involves turning documents into structured knowledge, cross-document analysis and comparison, or knowledge graph visualization.
Always-on Linear session discipline and one-time soft nudge for untracked repos. Use whenever non-trivial work is happening in a repo that already has a Linear tracking protocol in CLAUDE.md, AGENTS.md, or .cursor/rules; or when opening/working in a repo with no protocol and no .linear-tracking-skip file (ask once to run linear-setup). Enforces search-before-create, lifecycle, and close-the-loop. NOT for full bootstrap, sync, or monitor runs.
Paper reader. Takes an academic paper (URL, PDF, or file), runs the atom pipeline (split→squeeze→plain→feynman→博导审稿), and synthesizes a fluent analysis. Focus: what gap does it fill, and would a seasoned advisor take it seriously? Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Trigger words: '读论文', '分析论文', 'paper', or when user shares an academic paper.
Use when brainstorming ideas, features, or directions for a project where independent perspectives from different model families (Claude/Codex/Gemini) would surface blind spots and spark creative options the user hasn't considered — especially "what cool things can I add", "what should I build next", "give me ideas for X"
Triage recent Mattermost or Band (a Mattermost fork) direct and group conversations into durable private evidence, attention items, and digest-bound manual response commands. Use when the user asks to review recent Mattermost or Band direct and group conversations for items needing attention. Never publishes automatically. Russian discovery terms: триаж Mattermost, разобрать чаты Mattermost, триаж бэнда, разобрать бэнд, бенд.
Manage project learnings — small, atomic, validated patterns that the agent should remember across all skills and sessions. Different from /money-save (which captures full session state); learnings are individual insights that get auto-loaded into every other money-* skill's context. Use when the user has just discovered something worth remembering — a customer pattern, a pricing insight, a channel that works, a failure mode. Triggered by: 'remember this', 'log a learning', 'this is a pattern', 'show learnings', 'what have we learned', '记住这个', '存入经验', '查看经验库'.
Run all four review skills (investor, customer, operator, skeptic) on a business plan in sequence, then auto-decide where verdicts agree and surface only disagreements + taste decisions to the user. One command = full review gauntlet, intelligently filtered. Use when a plan is ready to be stress-tested before commit. Triggered by: 'panel review', 'review panel', 'run all reviews', 'review gauntlet', '审议会', '四方评审'.
Weekly business retrospective. Reads all snapshots, learnings, skill-usage telemetry, and (if provided) revenue data from the past week. Outputs: what got decided, what shipped, what's stalled, skill activity, suggested next focus. Surfaces unused skills as activation prompts. Use at end of week or end of sprint. Triggered by: 'weekly retro', 'business retro', 'what did we ship', 'how's the week going', '周复盘', '业务回顾', '本周复盘'.
Researches movies and TV shows — metadata, cast/crew, ratings, reviews, streaming availability, and box-office performance — via the Crawlora API across IMDb, TMDB, JustWatch, Letterboxd, Rotten Tomatoes, Metacritic, and Box Office Mojo, returning clean JSON. Use when the user asks about a title's cast, ratings/scores, where to stream it, critic or user reviews, or its box-office numbers.
Track and nag about Microsoft Outlook email and (optionally) Microsoft Teams messages on a Windows machine, without relying on web versions. Use when the user asks to: (1) monitor inbox/mentions and remind them on Telegram/Teams until dismissed, (2) draft short, personable, low-jargon email replies from an existing Outlook thread, (3) surface action items from the last N days (default 7). Works via Outlook Desktop automation (COM) and optionally Microsoft Graph for Teams if configured.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Search and read full-text biomedical papers, FDA/PMDA/EMA regulatory documents, clinical trial registries, and UniProt/PDB/ChEMBL entries with the Paperclip CLI from GXL. Covers installing and authenticating the `paperclip` binary with a PAPERCLIP_API_KEY, the read-only virtual filesystem under /papers, /fda, /trials, /proteins and /clipboard, source-scoped semantic search, corpus-wide grep, metadata lookup and SQL, map/reduce reading across many papers, figure vision analysis, opt-in paper repositories with claim verification, and line-pinned citations. Use when asked to install paperclip, run paperclip search/grep/map/reduce/sql/repo, find or read biomedical literature, regulatory filings or clinical trials through paperclip, or produce citations with line numbers.
Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.
Manage projects, tasks, and priorities effectively as a solopreneur. Use when organizing work, tracking progress, managing deadlines, coordinating with contractors or clients, or building project management systems. Covers task management methods, prioritization frameworks, project planning templates, tool selection, and personal productivity workflows. Trigger on "project management", "manage my work", "organize tasks", "project planning", "task management", "prioritization", "stay organized".
Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief. Use for “recall my work on X”, “catch me up”, “what have I been working on”, “where did I leave off”, before starting or resuming work.
Append new field definitions to an in-progress research outline's `fields.yaml` — either from user-supplied input or from a web-search agent that proposes common dimensions in the domain. Use mid-`/research-outline` when you've realised the schema is missing dimensions (e.g. pricing, performance, ecosystem, governance) before running `/research-deep`, so deep agents fill the new fields on first pass instead of needing a re-run.
Look up current research information using parallel-cli search (primary, fast web search), the Parallel Chat API (deep research), or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information. Note: query text is transmitted to api.parallel.ai (PARALLEL_API_KEY) and, for academic searches, to openrouter.ai (OPENROUTER_API_KEY).
Search for tools and resources in the GitHub issues of 阮一峰's 科技爱好者周刊. Use when the user wants to find tools, open source projects, websites or resources, especially when they mention 「阮一峰」「周刊」「ruanyifeng」or ask for tool recommendations in a Chinese-language context.
Work through the findings from a second-brain audit in batches, correcting stale facts and converting locations onto the state/event schema, driven by the markdown file of findings the audit left behind. Use after running second-brain-audit, when someone wants to fix the rest of their notes rather than one page, asks how to take the audit forward, has a list of contradicted or unsupported claims to work through, or needs a notes folder converted in bulk rather than one page at a time
Use when searching academic papers, looking up citations, finding authors, or getting paper recommendations using the Semantic Scholar API. Triggers on queries about research papers, academic search, citation analysis, or literature discovery.
Send and receive direct messages on OpenAnt. Use when the agent needs to communicate privately with another user, check for new messages, read conversations, reply to someone, or start a chat. Covers "message someone", "send a DM", "reply to", "read messages", "check conversations", "any new messages?", "what did they say?", "check inbox".
Analyze and visualize time spent on software projects by combining data from multiple sources: WakaTime coding time, git commit session detection, Claude Code usage, Codex CLI usage, and Cursor IDE usage. Produces both an interactive HTML dashboard (dark-themed, Chart.js) and a Markdown report with ASCII charts. Use when the user asks to: analyze work hours, calculate time spent on a project, generate a work hours report, visualize coding activity, create a project time breakdown, or summarize development effort across date ranges.
This skill MUST be used when the user requests ultrathink, 深度思考, or 深入思考. It SHOULD be used when substantive uncertainty or trade-offs remain, including questions of meaning, tone, or reader interpretation. Unless explicitly requested, it MUST NOT be used for routine work with no substantive uncertainty or trade-offs.
Vida's mental frameworks and way of expressing them. Based on in-depth research of 564 locally archived pieces in the repository, distilling 6 core mental models, 9 decision heuristics, and a complete expressive DNA. Use: as a thinking advisor, analyzing money-making, entrepreneurship, asset allocation, information asymmetry, personal IP, and geographic arbitrage from Vida's perspective. Use when the user mentions "用 Vida 的视角", "Vida 会怎么看", "Vida 模式", "vida perspective", "00后富一代视角". Also trigger even if the user only says "帮我用 Vida 的角度想想", "如果 Vida 会怎么做", "切到 Vida".
Research topics using web search and content fetching to find accurate, current information. Use when you need modern information, official documentation, best practices, technical solutions, or comparisons beyond your training data.
Use this skill when the user wants to create, save, search, update, organize, or delete content in WiseMindAI through the local HTTP API. Supports notes, files, links, webpages, folders, knowledge bases, knowledge documents, card decks, card folders, cards, global search, resolve workflows, and idempotent upsert writes. Trigger on requests like "保存到 WiseMindAI", "记到知识库", "帮我存网页", "创建学习卡片", "搜索我的 WiseMindAI", "更新/删除 WiseMindAI 里的内容", "save to WiseMindAI", "search my WiseMindAI notes", or any task involving WiseMindAI content management.
A command-line tool for fetching X (Twitter) posts and long-form articles. It supports regular posts (text, images, video links) and X Article long-form articles (full body text, in Markdown), saving them automatically as Markdown files. Based on the Jane-xiaoer/x-fetcher project. Use when the user mentions "抓取推文", "下载推文", "保存 X 文章", "fetch tweet", or provides x.com/twitter.com URLs.
Get the latest updates from the YouTube creators/podcasts you follow. Lists new videos from the last two days, including title, publish time, and a brief description. Trigger words: "get podcast updates", "what's new in podcasts", "YouTube updates", "podcast updates", "any new podcasts". Use it to check daily whether the AI/tech podcasts you follow have new content.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Business Analyst Skill. Triggered when users ask about business analysis, industry research, competitive analysis, product analysis, business model analysis, business opportunity discovery, market entry strategy, investment decisions, strategic planning, due diligence, and other strategic topics. Delivers in-depth, decision-grade HTML research reports through a seven-stage workflow (Briefing → Framing → Planning → Research → Insights → Report → Iteration).
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.