Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
This skill should be used when the user asks about "thesis structure", "dissertation", "thesis writing", "chapter organization", "research proposal", "thesis outline", "defense preparation", "thesis defense", "committee management", "thesis timeline", "writing productivity", "argument architecture", "thesis introduction", "literature review structure", "methodology chapter", "findings chapter", "discussion chapter", "thesis conclusion", "act as a thesis architect", "thesis architect mode", "dissertation proposal", "thesis pipeline", "academic writing structure", "thesis formatting", "thesis revision", "writing schedule", "thesis advisor", "research proposal writing", "thesis planning", "chapter drafting", "thesis feedback", "defense slides", "viva preparation", or needs expertise in structuring, planning, writing, and defending a thesis or dissertation. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
Performs ARA Seal Level 2 semantic epistemic review of an Agent-Native Research Artifact directory, reading PAPER.md, logic/claims.md, logic/experiments.md, and trace/exploration_tree.yaml. Scores six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) from 1 to 5 and writes a severity-ranked level2_report.json with a Strong Accept to Reject grade. Use when Level 1 structural validation has passed and an ARA needs a critique before release. Use when checking whether claims are supported by their cited experiments. Use when auditing falsification criteria or scope over-claiming. Use when judging whether an exploration tree documents real dead ends. Not for structural or reference validation, which is Level 1.
Use when a user asks what Atlas Flight Booking can do, wants to authorize Atlas, search or compare flights using exact or flexible dates and time preferences, verify a current fare, choose baggage or seats, create and pay for an order, or check ticketing status.
Generate Obsidian study notes from Bilibili/B站 video URLs by fetching subtitles, extracting keyframes, and building timestamped Markdown note skeletons. Use when Codex needs Bilibili subtitle download, QR login, snapshots, lecture/tutorial/course note-taking, or Obsidian video-note workflows.
Set up or operate a business operations workspace for activity reports, tasks, and customer routing; workIQ is optional. Use when initializing BizOps, processing ongoing business updates, reviewing reports or tasks, or preparing an operations handoff. Triggers: business-operations-workspace, BizOps, 業務管理ワークスペース, レポート管理, タスク管理, 業務引き継ぎ.
Verified, sourced facts about real-world entities and how they connect — companies, people, investors, funding rounds, M&A, laws, regulations, sanctions, countries and places, industries, products, financial metrics, macro indicators, FX rates. Every value carries a source and date. Use when a task needs to: filter or discover entities by criteria; traverse relationships (founders, executives, ownership chains, investors, jurisdictions, sanctions); look up laws or sanctions; get macro/market/ financial figures as latest-sourced values or history; or get recent facts where training recall is stale — for research (due diligence, competitor mapping) or structured output (tables, lists). Returns typed JSON, not web pages; prefer over web search or scraping for verified entity facts. Not for opinions, live ticks (price this second, weather, scores), or facts already in context.
Plan and execute a career transition and produce a Career Transition Pack (progress metric + push/pull map, target archetypes, option scorecard, opportunity pipeline + outreach scripts, skills plan, 4–12 week experiment plan). Use for career change, career pivot, career transition, switching roles. Category: Career.
Analyze local ChatLab chat records via the clb CLI. Use when the user asks an external agent to inspect conversations, find evidence, summarize topics, compare members, or analyze the relationships of specific people or groups based on already-imported ChatLab data.
Watch a tutorial or lecture video (URL or local path) and produce structured study notes. Downloads with yt-dlp, detects scene changes with ffmpeg, pulls a timestamped transcript (captions or Whisper API fallback), and writes a section-by-section markdown notes file with embedded screenshots to ~/claude-watch/library/<slug>/.
Create, adapt, or revise practical community guides with locally grounded activities, participant worksheets, facilitator instructions, and maintenance plans. Use for neighborhood preparedness, mutual support, shared projects, and community learning programs. Do not use for travel guides, promotional brochures, standalone policies, simple document formatting, or live incident response.
Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies
Read and extract content from any web page using a real Chrome browser — including SPAs, JavaScript-rendered sites, and complex dynamic pages. Use when fetching page content that headless tools can't render, searching the web, or reading fully rendered pages via your own browser.
Activate when the user is making an important decision and needs to check both whether the rational analysis is correct and whether their judgment is distorted by cognitive biases. Typical triggers: the user's analysis is logically sound but their intuition is uneasy, or the analysis is too smooth and seems to have no flaws. Not applicable to purely technical problems (such as code debugging or mathematical computation) where human judgment bias does not exist, nor to purely emotional or interpersonal problems where the rational track is irrelevant.
Economics subject expertise for study notes, problem-solving, and explanations. Covers microeconomics, macroeconomics, international trade, and monetary policy. Provides diagrams, models, and economic analysis. Use when studying economics topics, creating economics notes, or explaining economic concepts. Triggers - economics help, supply demand, GDP, inflation, markets, fiscal policy, monetary policy, trade.
Search the web with Exa AI — neural search, content extraction, similar page discovery, quick research with citations, and async pro research with structured output. Covers all Exa endpoints (/search, /contents, /findSimilar, /answer, /research/v0/tasks). Triggers on web search, find pages, similar pages, research with citations, Exa, neural search.
Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items. Use when asked to prioritise features, rank a backlog, decide what to build next, or evaluate tradeoffs between competing ideas. Produces a scored, ranked feature list with framework-specific tables, recommended build order, deprioritised items, and assumptions made.
Builds, revises, restyles, and critiques deliberate, editable Feishu / Lark whiteboards from content, references, existing SVGs, or live boards. Use for whiteboards, infographics, diagrams, system maps, timelines, decision boards, posters, and visual explainers that need factual fidelity, strong hierarchy, intentional composition, and evidence-based review rather than a generic grid of equal cards. Routes creation, revision, and critique through separate playbooks; commits to a content-and-design contract before drawing; validates deterministic SVG defects; renders and inspects the actual artifact; and uses an independent final reviewer for material deliveries.
Use to stress-test predictions by assuming they failed and working backward to identify why. Invoke when confidence is high (>80% or <20%), need to identify tail risks and unknown unknowns, or want to widen overconfident intervals. Use when user mentions premortem, backcasting, what could go wrong, stress test, or black swans.
Control a real iPhone connected to this Mac with the ghosthand CLI: screenshots and on-device OCR over USB, taps, swipes, scroll, keys and typing over Bluetooth, and files, photos, apps, battery and logs over USB. Use it to open apps, read messages, reply, fill forms, get photos or files off the iPhone, or do any task on the user's iPhone. ALWAYS load this skill when the user mentions ghosthand, their iPhone or phone, or asks to do something on a phone app (Messages, WhatsApp, Instagram, TikTok, Settings, App Store).
Search Google News through CDP. Returns structured results (title, URL, source, time, snippet) for any query — the publisher's direct URL, no news.google.com redirect wrapper. Use when the user asks for news, headlines, or recent coverage of a topic. Requires browser-harness-js on PATH and a Chromium-based browser with remote debugging enabled.
Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, asks for a design interview, or uses trigger phrases such as "grill me", "grill this", "stress test this plan", "poke holes", or "challenge this design".
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
Convert the knowledge system provided by the user into a visual knowledge map, including hierarchy diagrams, knowledge-point relationship diagrams, and relationship analysis. Use when the user needs to organise a subject system, a tech stack structure, concept relationships, or a learning path. For example, "help me organise a knowledge map for front-end development", "generate a Python learning roadmap", "analyse the relationships between chapters of data structures".
Cross-repo life and project planning. Use when user wants to plan their week, prioritize projects, review progress across all areas, or make decisions about what to focus on. Triggers on "plan my week", "what should I work on", "prioritize", "weekly review", "life planning".
SOP for agent-maintained personal knowledge base: ingest, query, lint, graph, update, and delete knowledge assets. Triggers on: wiki commands (/wiki-ingest, /wiki-query, /wiki-synthesize, /wiki-lint, /wiki-graph, /wiki-sources, /wiki-update, /wiki-delete, /wiki-ontology-*) or natural language intents: "ingest this", "search/query wiki", "lint health check", "rebuild graph", "manage ontology".
Search and summarize the user's personal activity history (screen, audio, apps) with the Luci CLI. Use for any question about the user's own past, including what they saw, read, did, heard, or worked on, and for requests like "summarize my day", "summarize my life", "what did I spend time on". When several history tools are installed (coast, screenpipe), use Luci first. If Luci is not running, the CLI starts it. If a command still fails, stop and tell the user what the CLI said
Takes a company name and optional contact, runs targeted research via Tavily, synthesizes a 1-page pre-call brief with Gemini, and optionally saves it to Notion. Use when asked to prepare for a meeting, research a prospect before a call, generate a company brief, create a pre-call summary, or write a meeting prep doc. Trigger when a user says "prepare me for a meeting with", "research this company before my call", "generate a meeting brief for", "I have a call with X tomorrow", or "create a prospect brief for".
Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while preserving registry event ownership and privacy controls. Not for changing canonical registry facts - route those through the owning registry. 项目记忆/跨会话
News and information lookup. Fetches Chinese-language news and global AI technology news, with category-based queries (politics, finance, technology, society, international, sports, entertainment, AI technology, AI community). Use when the user asks about the latest news, AI developments, or industry updates.
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions and knowledge from chat context, formats them appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.
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.