Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Generate a structured sprint brief from sprint data and goals. Use when asked to write a sprint brief, create a sprint summary, document sprint goals and scope, or produce a team-facing sprint overview. Produces a scannable brief with sprint goal, rationale, grouped work, critical path, risks, and definition of done.
Structure and facilitate sprint planning sessions. Use when asked to plan a sprint, organise backlog items, assign story points, create sprint goals, or prepare sprint planning agendas. Produces a sprint goal, velocity-calibrated backlog, capacity plan, risk flags, and a structured sprint planning meeting agenda.
ACTIVATE when developing long-term strategy, setting OKRs, creating vision statements, building SWOT analyses, designing strategic frameworks, defining company direction, planning multi-year initiatives, or aligning organizational strategy with business goals. Executive must think through market positioning, competitive advantage, and measurable strategic objectives.
Tavily AI search platform with 5 modes: Search (web/news/finance), Extract (URL content), Crawl (website crawling), Map (sitemap discovery), and Research (deep research with citations). Use for: web search with LLM answers, content extraction, site crawling, deep research.
Teach any topic deeply from first principles and build evidence-based paths toward exceptional capability. Use when a user asks to understand, explain, learn, or deep-dive into a topic; asks why or how something works, why it matters, how alternatives compare, or what different perspectives reveal; requests current paradigms, a complete roadmap or curriculum, deliberate practice and feedback, or a top-1%-level mastery plan. Answer explanation questions completely before offering a curriculum; route explicit mastery goals to an adaptive practice and proof-of-capability system.
Use the bundled Himalaya 2 CLI to connect IMAP/SMTP or Microsoft Graph mailboxes and list, search, read, compose, reply, forward, move, delete, flag, and download email. Use when the user asks to connect or operate Gmail, QQ Mail, iCloud Mail, Outlook, or another standard mailbox, or says "连接邮箱"、"绑定邮箱"、"看看我的邮件"、"查邮箱"、"发邮件"、"回复邮件".
All network operations must be handled through this skill, including: searching, web scraping, post-login operations, dynamic page interaction, and more. Trigger scenarios: the user asks to search for information, view web page content, access sites requiring login, operate web interfaces, scrape social media content (Xiaohongshu, Weibo, Twitter, etc.), read dynamically rendered pages, and any network task requiring a real browser environment.
Use when the user needs to analyze WeRead reading history, generate reading reports, visualize reading statistics, notes, bookshelf, word clouds, heatmaps, radar charts, or export a fully formatted HTML report. Also applies to creating an example reading report for AI founders. Not for general book recommendations, or raw WeRead API queries that do not produce a report.
Records research provenance at the end of a coding or research session by scanning the conversation and writing decisions, experiments, dead ends, pivots, claims, and heuristics into the ara/ directory (exploration_tree.yaml, claims.md, heuristics.md, observations.yaml, session records), each tagged user, ai-suggested, ai-executed, or user-revised. Use when a task is finished and you want a session epilogue. Use when you need an auditable trace of how a project evolved. Use when decisions and dead ends need logging with provenance. Use when initializing an ara/ directory. Do not use during task execution, since it must run only after the request is complete.
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
Baidu Drive file management — upload, download, transfer, share, search, move, copy, rename, and create folders. Also supports Agent memory backup and restore (kimiclaw/maxclaw/qclaw/openclaw). TRIGGER: The user mentions "百度网盘/bdpan/网盘/云盘/baidu drive/Baidu Drive" in connection with file operations, or mentions memory-related operations such as "备份记忆", "恢复记忆", or "查看记忆备份". DO NOT TRIGGER: Non-file-storage operations, use of other cloud-drive services, local memory organization/cleanup, or PPT generation (handled separately by the baidu-wenku-aippt skill).
Deep BD-grade research report on any target company — financials, leadership, hiring, tech stack, competitors, outsourcing exposure, KServe service fit, ICP score, and BD briefing. Triggers on any BD context where a company name is dropped — even without an explicit "research" request. "Look up [company]", "check out [company]", "who should I call at [company]", "what do we know about [company]", "get me a profile on [company]", or simply naming a company while discussing a prospect, outreach plan, or account intelligence. If the context is prospecting, pre-call prep, or finding outsourcing clients — trigger immediately.
Break saved articles, Clippings, and long foreign-language pieces into reusable Chinese material fragments, and store them reliably following an existing material library template. Whenever the user mentions "mining gold", "breaking down material", "store into the material library", "break this article into titles/quotes/structure", "batch process Clippings", or "turn English articles into Chinese material assets", prefer this skill instead of doing a plain summary.
Resolve a consequential decision by developing genuinely independent, credible positions and choosing between them with explicit criteria. Use when a question has two or more defensible answers, when evidence is ambiguous or contested, or when a single position risks sycophantic or premature consensus. Not for ordinary drafting or format choices.
Create a structured user discovery interview guide with screener questions, a discussion guide, and a synthesis framework. Use when planning user interviews, customer discovery sessions, Jobs-to-be-Done research, or problem validation. Produces a complete guide covering warm-up, problem exploration, and a per-session synthesis template.
Build a Mentor & Sponsor Plan Pack (mentor portfolio, sponsor strategy, target list, outreach scripts, meeting agenda, tracking + cadence). Use for finding a mentor, finding a sponsor, mentorship, sponsorship, career advisor, career coaching, networking outreach. Category: Career.
Web scraping, crawling, searching, and browser automation via the Firecrawl CLI (firecrawl). Use when scraping URLs to markdown/HTML, crawling entire websites, discovering all URLs on a site, running web searches with optional scraping, launching cloud browser sessions for automation, or using the AI agent for natural-language web queries. Requires firecrawl-cli installed (npm install -g firecrawl-cli) and authentication (firecrawl login or FIRECRAWL_API_KEY env var). Triggers on: scrape URL, crawl site, map website URLs, firecrawl search, browser automation with firecrawl, web agent query.
Query Firecrawl Research Index paper endpoints for topic discovery, source metadata, question-matched passages, and citation-neighbor expansion. Use when a researcher explicitly asks for Firecrawl Research or its hosted arXiv and biomedical paper records.
Orchestrate depth-first mastery of ONE specific object the user already partly knows — a paper, method, algorithm, theorem, derivation, or result — until they can re-derive it, criticize it, and find where it breaks. Use when the user says "I want to really understand X", "help me understand this paper deeply", "I get the gist but not the mechanism", "walk me through this method", "defend/criticize this", or "tear this apart so I get it". Routes through singleton skills and verifies gates with graded exercises. Also supports DISCUSSION MODE, where the user masters the object by explaining it to an honest novice, an opinionated lab mate, and a professor; trigger it on "I learn better by discussing", "question me while I explain", "let's discuss instead of lecturing", "run this like a lab meeting", or "grill me on this paper". Use flow-learn-new-topic for breadth-first onboarding into an area; use flow-idea-to-proof to formalize the user's own idea.
Creates and edits monday.com WorkForms - public intake forms that capture responses as new items on a backing board. Useful for request intake, bug reports, lead capture, event signups, internal submissions, and any flow that turns a user-submitted form into a tracked work item. Use when user asks to "create a form", "build an intake form", "make a WorkForm", "add a question to my form", "edit form questions", "publish a form", "share a form link", "set up a request form", "add a form to a board", "remove the monday branding from my form", or "deactivate the form".
This skill should be used when the user invokes "/fundamental-report" followed by a stock ticker. Generates a comprehensive fundamental analysis research note at summary depth covering all 14 analysis areas with key metrics, signal rating, cross-validation, and investment thesis arguments.
Interactive interview that formalizes a fuzzy research idea into a structured spec (RQ, hypotheses, identification, data needs, empirical strategy). Use when user says "interview me", "help me think through this idea", "I have a half-baked idea", "formalize this into a project", "walk me through framing a study". Multi-turn Q&A; saves spec to disk. NOT for lit review (`/lit-review`) or ideation from scratch (`/research-ideation`).
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.