Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.
Investigator OPSEC — threat-model who might notice you, control your attribution surface across IP, ASN, browser and TLS fingerprint, timing and logged-in accounts, separate research identity from real identity, build and age a sockpuppet research persona, and choose between VPN, residential proxy and Tor. Use when setting up a research account, avoiding tipping off a subject, worrying about LinkedIn profile-view leakage, needing a burner phone or email, or hardening a research VM or browser profile. Applies to covert due diligence, insider-threat investigation, source protection in journalism, and law-enforcement online work. Reference at useosint.com/skills/investigate-without-getting-made.
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
Reverse image search across Yandex, Google Lens, Bing Visual Search, TinEye and Baidu to find where a picture came from and who published it first. Use when reverse image searching, identifying a photo, face, logo, product, uniform or building, tracing a profile picture or avatar, finding the oldest copy of an image, checking whether a photo is stock or a repost, or reverse-searching a video by keyframes. Applies to romance and investment scam investigation, fake-profile and synthetic-identity detection, disinformation and media verification, counterfeit and brand-infringement work, and insurance claim review. Reference at useosint.com/skills/find-the-original-image.
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.
Lark video meetings: query meeting records and artifacts (minutes/transcripts/Miaoji), search/upload/download/edit Miaoji, and have bots join meetings; query ongoing meetings and real-time meeting content (speaking/chat/shared documents), answer questions about meetings, and send in-meeting chat messages/reactions. Look up related information using meeting_id, meeting_no, event_id, note_id, minute_token, vc-node-id, or a Miaoji URL. Use lark-calendar for scheduling, availability, and room management.
Edits empty, repetitive, and formulaic phrasing in Chinese articles, comments, and documents to make the writing more natural while preserving facts, certainty, and the author's voice. Use to polish existing text, not to identify authors or guarantee passing AI detectors.
Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
Volcano Engine Doubao Search API (formerly Web Search/Integrated Information Search), returning web page and image results. Prioritize this skill for web search scenarios. Trigger words include: Doubao Search; look up/search/find; really?/reliable?/confirm/verify; recent/today/latest/recently; source/origin/link; Agent Plan; Integrated Information Search; Harness; what/which/recommend; price/policy/exchange rate/market trends; compare/difference/which is better; heard/rumor/not sure; trending/popular/hot; take a look/help me learn about; verify/debunk; worth it/should I. Prioritize this skill when a task depends on online facts or timely information. If an answer may depend on external facts, call this skill first before answering.
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
Golang ecosystem watch list—official sources (go.dev/blog, pkg.go.dev, tour.golang.org, golang-nuts), newsletters (Golang Weekly, Awesome Go Newsletter), communities (r/golang, gophers.slack.com, Go Forum, go.dev/wiki), blogs (Dave Cheney, Ardan Labs, Rob Pike), YouTube channels (Gopher Academy, GopherCon EU/UK), conferences, and Go contributors to follow on GitHub, X, and Bluesky. Use when seeking Golang learning resources, discovering new libraries or tools, finding community channels or meetups, picking Go people to follow, or keeping up with Go language changes and releases. Not for querying a specific module's versions, docs, or vulnerabilities from the CLI (→ See `samber/cc-skills-golang@golang-pkg-go-dev` skill).
Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.
Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources. Use only when the user needs rigorous synthesis of a complex topic (scientific, technical, policy, or market-analytical) that cannot be answered with a short search, and wants a formal written report, not a recommendation list. Do not use for product picks, top-N lists, quick lookups, or routine "find out about X" tasks. If the request does not clearly need this kind of report, do not use this skill. Do not use for a literature review over published papers. This skill collects evidence from the open web. A request for the literature on a biomedical, clinical, life-science, or other scientific topic — papers, studies, trials, preprints — belongs to firecrawl-research-papers, which queries Firecrawl's paper index (PubMed, bioRxiv, medRxiv, arXiv) instead of searching websites.
Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification over Firecrawl's paper index — largely biomedical and life-science literature from PubMed, bioRxiv, and medRxiv, plus arXiv preprints in CS, physics, and math. Use when the user wants a literature review, systematic review, survey of studies, paper summary, research landscape, or sourced synthesis from scholarly and industry publications, including clinical, drug, gene, disease, epidemiology, and public-health topics. Prefer this over a general web-research workflow whenever the evidence base is published papers rather than web pages.
Run focused Firecrawl workflows for research, documentation lookup, SEO audits, QA, lead discovery and enrichment, business contacts, current jobs, fantasy decisions, brand assets, knowledge bases and website design systems. Use when the user wants a sourced answer or deliverable from a workflow rather than raw extraction or product-code integration
Research markets and companies with Firecrawl using current, cited figures: market size, growth, trends, financials and earnings. Use when the user asks for market research, an industry overview or a comparison of companies by the numbers, since these figures change faster than training data
Enrich and research the people and companies the user names or supplies with Firecrawl Alexandria data: a person's background, a professional profile URL to look up, whether someone still holds a role, missing columns in a table or CSV of people or companies, firmographics for company domains (industry, headcount, funding, location), and pre-call or meeting briefs. Use whenever the request is about specific named people or companies, even without the word enrich, since roles, headcount and funding change faster than training data. Not for finding new prospects (use firecrawl-lead-gen) or a company's published press, sales or support contacts (use firecrawl-business-contacts)
Research products across retailers and review sites with Firecrawl and recommend what to buy based on the user's budget and preferences, with current prices and sources. Use when the user wants to compare products, find the best option or check reviews before buying, since prices and models change faster than training data. Add items to a cart only when asked and a signed-in browser profile exists
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.