Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
For searching financial markets, securities, listed-company fundamentals, prices, candlestick charts, disclosure filings, financial news, A-share data, Hong Kong stocks, or global tickers, using yfinance, mootdx, API scripts, or browser-use.
Use when researching China market, industry, macro, trade, procurement, listed-company disclosure, regulation, IP, healthcare, logistics, energy, environment, or industrial-operation information using free official sources with no registration, no API key, and no cryptocurrency data.
Use for social science academic paper drafting, outlining, diagnosis, review, and revision. Trigger for topic diagnosis, research question refinement, literature review planning, CNKI/Google Scholar literature search-to-Zotero workflows, structured paper reading notes, theoretical framework design, research design critique, draft review, section or paragraph revision, citation and evidence risk checking, causal-claim checking, and pre-submission review. Do not use for purely creative writing or non-academic editing.
Search for edge cases, pathological constructions, and violated assumptions that break a conjecture or weaken a theorem. Use when a claim feels too broad, an assumption seems suspiciously weak, or a proof step needs stress-testing. Trigger on phrases like "is this always true", "does this hold in general", "check this claim", "try to break this", "stress-test this theorem", "find a counterexample", "is this assumption necessary", or whenever the user states a result and asks whether it can be trusted. Also trigger when reviewing a proof and a step feels hand-wavy or a quantifier feels wrong.
Translate an idea across optimization, probability, information theory, dynamical systems, graph theory, and statistics language. Use for interdisciplinary theory work, reframing a problem into a more tractable formalism, connecting literatures, discovering alternative analytical tools, or determining whether different fields express the same structure under different notation.
Distill a dense theory paper into definitions, main claims, proof strategy, and reusable techniques. Use for theoretical ML or math paper reading, seminar prep, related-work synthesis, extracting reusable lemmas, or deciding what part of a paper is actually load-bearing.
UiPath Action Center human-in-the-loop tasks via `uip tasks`: list, assign, complete, plus task catalogs, comments, labels, metadata, and task data (get/save). For authoring HITL nodes in flows/agents→uipath-human-in-the-loop. For Orchestrator→uipath-platform, codedapp→uipath-coded-apps. Skip Document Understanding.
Systematic research methodology for building comprehensive, current knowledge on any topic. Requires web_search tool. Use when questions require thorough investigation, recent developments post-cutoff, synthesis across multiple sources, or when Claude's knowledge may be outdated or incomplete. Triggered by "Research", "Investigate", "What's current on", "Latest info on", complex queries needing validation, or technical topics with recent changes.
Video transcript extraction expert (based on the Doubao video understanding model). Supports Bilibili / Douyin / Xiaohongshu / YouTube / WeChat Channels links or local videos. Runs entirely in the background on the user's computer (headless), with no pop-ups and no login to video sites required. Outputs a strict transcript with "semantic segmentation + paragraph-level timestamps" (preserving colloquialisms, internet memes, pauses), and automatically segments long videos to avoid being summarized by the model. Trigger scenarios: - User says "出逐字稿", "提取逐字稿", "转文字", "视频转文字" - User says "听写视频", "提取视频文案", "视频字幕" - User uses the /video-transcript command - User pastes a video link (Bilibili / Douyin / Xiaohongshu / YouTube / WeChat Channels) intending to get a text version - User pastes only a video link or says "处理这个视频" without clarifying download or transcription: ask about intent first
A wrapper Skill for fetching and converting WeChat official account/web articles to Markdown, with full support for WeSpy's single-article fetching, WeChat album batch downloads, album list retrieval, and HTML/JSON/Markdown multi-format output. Use when the user asks to fetch WeChat official account articles, batch download an official account album, convert a URL to Markdown, save WeChat articles, mp.weixin.qq.com to markdown.
Batch download WeChat public-account article bodies, historical article lists, original-article filtering, historical count conventions, read counts, like/share metrics, comments and comment replies. Use when the user asks to batch fetch mp.weixin.qq.com articles, export WeChat public-account history, distinguish publish groups vs expanded article URLs vs original articles, use wechat-article-exporter, use wxdown-service credentials, collect read/comment metrics, or create an archive for Obsidian/Feishu/local analysis. Do not use for ordinary one-off article summarization unless batch/enhanced data is requested.
Manages YouTrack issues, agile boards, projects, and users via the yt CLI. Use when searching, creating, updating, or commenting on YouTrack issues, listing agile boards or projects, assigning an issue to an agile board, or setting a parent issue for feature-based swimlanes. Triggers on phrases like "YouTrack issue", "create a ticket", "search issues", "update issue", "add comment to", "list projects", "list boards", "agile board", or "parent issue".
Z.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: GitHub code search and reading via ZRead - Tools: MCP tool discovery and raw calls - Code: TypeScript tool chaining Use for visual content analysis, web search, page reading, or GitHub exploration. Requires Z_AI_API_KEY.
Task management, progress tracking, work logs. Manage todos, update progress, record work logs, and generate standup reports via the ai-todo CLI. Trigger scenarios: the user mentions tasks/todos/progress/logs/standup/sprint/project management; after git commit/push/deploy/merge, record progress and complete the related tasks; create a task hierarchy when discussing feature planning or task breakdown. Invoke explicitly via /ai-todo.
This skill should be used when the user asks about "interview methodology", "semi-structured interview", "interview guide", "interview questions", "probing techniques", "interview transcription", "interview analysis", "narrative analysis", "phenomenological analysis", "IPA", "interpretive phenomenological analysis", "focus group", "focus group facilitation", "participant recruitment", "informed consent", "qualitative interviewing", "act as an interview analyst", "interview analyst mode", "interview coding", "thematic analysis of interviews", "member checking", "theoretical saturation", "purposive sampling", "snowball sampling", "interview protocol", "research interviews", "Braun and Clarke", "grounded theory coding", "framework analysis", "Labov narrative", or needs expertise in qualitative interview design, facilitation, and systematic analysis. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
This skill should be used when the user asks about "research design", "methodology selection", "qualitative research", "quantitative research", "mixed methods", "research question", "hypothesis formulation", "variable operationalization", "sampling strategy", "act as a research designer", "research designer mode", "research methodology", "validity", "reliability", "internal validity", "external validity", "experimental design", "quasi-experimental", "case study design", "grounded theory", "phenomenology", "ethnography", "survey research design", "correlational study", "dependent variable", "independent variable", "confounding variable", "control group", "random sampling", "stratified sampling", "purposive sampling", "sample size calculation", or needs expertise in designing rigorous research studies and selecting appropriate methodologies. Part of the AlterLab FC Skills collection (Research Methods & Academic Writing department).
Structure vague opportunities and unclear briefs into actionable one-page problem statements. Use when asked to clarify a vague brief, frame an undefined problem, make sense of an unclear opportunity, or when the user says 'we need to figure out what to do about X' or 'I've been asked to look into Y'. Produces a structured problem brief with reframed questions, scoped boundaries, and a minimum viable research plan.
Use when the user provides the title, abbreviation, DOI, PMID, PMCID, arXiv, or Semantic Scholar ID of a specific paper, or an author's name or ORCID, and wants to understand the paper's references, later citations, and related work, or find the author's other publications. Do not use when the user has only a broad research area and has not provided a specific paper or author.
ALWAYS use this skill before answering brainstorming, ideation, prompt crafting, or open-ended exploration requests. Transforms vague requests into actionable outputs via adaptive guided questioning — triages into Prompt Mode (craft/improve prompts), Explore Mode (brainstorm ideas), or Focused Mode (specific problem strategies). Trigger when user says: "brainstorm", "ช่วยคิด", "help me think", "I have an idea", "improve this prompt", "let's explore", "I want to build", "I'm thinking about", "brainstorm วิธี", "ช่วยคิดหน่อย", "อยากทำ", "ยังไม่รู้จะทำอะไร", "not sure about the approach", "help me figure out", "what should I". Also trigger for: side projects, career decisions, project planning, migration strategies, architecture decisions, cost optimization, or any request where the user hasn't decided direction yet and would benefit from structured discovery. Do NOT skip — adapts depth automatically (2-7 questions) and produces BETTER results by asking targeted questions first.
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
Exports a Claude.ai workspace — its custom instructions and its uploaded knowledge files — into a bundle that can be re-imported elsewhere. Use for "back up my project instructions", "export my project knowledge", "copy this workspace to a new one", "migrate my project to another account", or "recreate this setup somewhere else". Operates on the Claude.ai workspace you are talking in, and reads nothing from disk
Search for threat intelligence, CVEs, malware analysis, breach reports, and security research across 300+ curated security domains (BleepingComputer, Hacker News, Krebs, Unit42, Talos, CISA, Mandiant, Rapid7, Securelist, etc.). Use this skill whenever the user asks to: research a CVE or vulnerability, find what security vendors are saying about a threat actor or malware family, search security blogs, look up threat intelligence on a topic, find recent breach or ransomware reports, collect CTI for a MITRE technique, or push research into NotebookLM. Triggers for phrases like "search security sources", "find threat intel on X", "what are vendors saying about Y", "research CVE-XXXX", "look up malware Z", "collect CTI", "push to NotebookLM", or any domain-scoped web research request in a security context.
Optimize resumes by matching keywords to the job description, rewriting experience with the quantified STAR method, and checking ATS compatibility. Triggered when users ask for resume help, review, or polishing, mention JD matching, STAR method, ATS, or want to tailor their resume for a specific role.
Da Vinci's thinking framework and creative methods. Based on deep research into 30+ sources including the Da Vinci Notebooks, Vasari's Lives of the Artists, Walter Isaacson's Leonardo da Vinci, Martin Kemp's Leonardo, and Fritjof Capra's The Science of Leonardo, distilling 5 core mental models, 7 life heuristics, and a complete expression DNA. Purpose: as a thinking advisor, analyze creativity, interdisciplinary thinking, observation methods, project management and other issues from Da Vinci's perspective. Use when the user mentions "Da Vinci's perspective", "what would Da Vinci think", "Da Vinci mode", or "davinci perspective". Also applies to: interdisciplinary integration, creative methods, observation training, curiosity-driven learning, and the combination of art and science. Even if the user only says "how to cultivate creativity", "how to think across disciplines", "observation training", or "curiosity", it can trigger. Do not trigger when the user is only asking general questions like "is this decision sound" or "help me think" — activate only when Da Vinci's core methodologies such as creativity, observation methods, interdisciplinary thinking, or curiosity-driven learning are involved.
Guide the user to understand content step by step in depth across 4 layers: essence (ELI5, metaphor) → mechanism & principles → cross-disciplinary connections → application to life. Socratic style, layer-by-layer Q&A. Input: URL, text, file. Triggers: giải thích cho tôi, dạy tôi, tôi muốn hiểu, explain this, teach me, learn about, đọc bài này giúp, hiểu sâu nội dung này, phân tích bài viết này để học. Different from deep-reader (this skill teaches the user to understand in depth through 4-layer Socratic dialogue, while deep-reader is 10 commands for quick processing: summary, critique, article...). Different from deep-insight (this skill guides the user's learning, while deep-insight analyzes on its own to find the core of the problem).
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Search for EPDs by product category, CSI division, or material type — finds EPDs from EC3, program operator registries, and manufacturer sites. Use when the user asks to "find EPDs for...", locate declarations for a material, or source low-carbon product documentation.
Search meeting transcripts and extract action items from Fireflies.ai. Use when checking what was discussed on a call, finding a client's meeting notes, pulling action items assigned to the team, or getting a transcript summary before campaign work. Triggers on "meeting notes", "call transcript", "what did we discuss", "Fireflies", "action items", "meeting summary", "what was said on the call". Do NOT use for cold email copy (see cold-email-copy), enrichment/search (see coldiq-search-enrich), or campaign work (see campaign-delivery). NOTE: the ColdIQ marketplace has no Fireflies endpoint — this skill connects to Fireflies directly via its MCP server.
Orchestrate the path from a raw research idea to a formal claim with a defensible proof design — drawing the hypothesis out of the idea, stating it as a precise theorem/claim, and designing (and auditing) the proof strategy. Use whenever the user says "help me turn this idea into a theorem", "I have a hunch, can we make it rigorous", "design a proof for this", "what would I need to prove this", "formalize this claim", "is this provable and how", or hands over an informal conjecture they want to develop into a formal result. This is a ROUTER that sequences existing singleton skills; it does not write the proof itself. Use flow-learn-new-topic or flow-deep-understanding when the goal is to understand existing work rather than formalize the user's own idea. Use gap-finder when the starting point is an existing paper's weakness rather than a fresh idea.
(NS) Sync existing GitLab issues with local planning and execution — milestone, RF labels, status transitions, assignee, estimates, spent time. Use during implementation when tasks link to GitLab issues or after plan-version-from-gitlab sync — not for creating new issues (use mcp-gitlab-usage). Always use atomic set_issue_labels and three-step status cycle. Read mcp-gitlab-usage for tool contracts.
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.