Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Search places, resolve addresses, compare routes, inspect neighborhoods, and retrieve geographic or environmental facts through the standalone @cablate/mcp-google-map CLI. Use for concrete location questions; use the travel-planning or local-seo Skill for those specialized outcomes.
Land senior, partner, or cofounder-level roles at companies that already have traction — without application forms, CVs, or cold "are you hiring?" messages. Instead of applying, the user finds a specific untapped revenue opportunity at a specific company, opens an advice-first conversation with the founder, and offers to prove the opportunity works at almost zero risk to them. Use this skill whenever the user is job hunting, thinking about a career move, sending cold DMs or emails to founders or investors, asking for warm intros, writing a CV or cover letter, trying to join a startup, looking for freelance or consulting clients, wondering how to turn a skill into income, negotiating a trial project or pilot, or feeling stuck applying to lots of roles and hearing nothing back — even if they never use the words "job" or "networking." Also use it when they ask what they're actually good at, how to position themselves, or who needs their skills.
Operate the `kb` CLI to build and maintain topic-based Karpathy-style knowledge bases: gated ingestion, decision-model classification, linking, retrieval and review, wiki compilation, lint-and-heal, OKF bundles, QMD search, and codebase inspection. Use for kb commands and KB vault workflows; not for general code review, Go builds, or application code.
Structural restructuring and refinement of Markdown study notes: a two-stage Plan-and-Execute workflow — first diagnose and classify (produce checklist/outline/mapping/scaffold), then refine and deliver (rewrite body text, out-of-scope routing, resource tracking). Supports two scopes: the whole document or specified sections; supports either outputting only the checklist or directly outputting the organized body text.
Notion-style team dashboard rendered as a Live Artifact. A single-page, self-contained HTML dashboard with KPIs, a 7-day sparkline, a real-time activity feed and a linked-database task table — wired to Notion via the Composio connector catalog. Refreshes on demand and when the artifact is opened. Falls back to seeded mock data when no connector is bound, so it works offline / in screenshots / in the picker preview.
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.
Navigates archived ChatGPT or Claude-style conversation exports and a MemFS reference archive on demand. Use when recalling what a past assistant knew, searching old conversations, rendering specific chats, seeding reference memory from export sidecars, or mining historical context without doing a full import.
Every Trend Hunter feature, plus a local SQLite corpus, FTS5 search, FAQ Q&A extraction, and agent-native JSON no... Trigger phrases: `what's trending on trendhunter`, `search trendhunter for`, `weekly trend digest`, `trend hunter FAQ for`, `rising keywords on trendhunter`, `active trend hunters this month`, `use trendhunter`, `run trendhunter-pp-cli`.
Answer product, PM, stakeholder, or non-engineer questions about app behavior by inspecting code and returning a share-ready plain-English answer. Trigger on product question, PM question, stakeholder answer, how a feature works, or why the app behaves that way. Do NOT use for code changes.
Mathematical proof writing skill — a complete proof workflow from claim extraction to LaTeX typesetting. Use this skill whenever the user needs to write or verify formal proofs of mathematical theorems, lemmas or propositions, or needs to derive formulas or organise theoretical analysis. Trigger words include: mathematical proof, prove, theorem, lemma, proposition, derivation, theoretical analysis, write proof, LaTeX math, formal proof. Suitable for machine learning theory, statistical learning theory, optimisation and other scenarios requiring rigorous mathematical derivation.
Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge.
Find the correct note to resolve an unresolved ingredient wikilink in a recipe note. Use when an ingredient wikilink like [[leeks]] in a recipe does not resolve to an existing note and you need to find the best matching product note to point it at. Uses islandiguana to enumerate product-tagged candidate notes, then semantically ranks the full list against the link text and its surrounding recipe ingredient line.
Based on the target job JD, a Chinese resume, and the user's confirmed real experience, this skill completes JD parsing, evidence mapping, gap diagnosis, material follow-up questions, tailored resume rewriting, ATS/HR/interviewer review, and application communication material generation for job hunting in mainland China. It is used for new graduates, experienced hires, career changers, and roles in internet, AI, product, operations, sales, technology, data, design and more; use it when the user asks to optimize a Chinese resume for a JD, improve match rate, generate talking points for Boss Zhipin or headhunters, or check interview consistency.
This skill MUST be used when applying SCAMPER (奔馳法) to generate or review innovation ideas for products, services, processes, business models, or concepts. It SHOULD also be used for 創意發想、創新思考、產品改良、服務優化、創意激盪、系統化創新 when the user wants to explore multiple creative angles for an existing target, even without naming the framework.
Capture screenshots of live websites and web pages via API. Use when users need to screenshot a URL, capture website previews, archive web pages, generate thumbnails of sites, or document web content. Ideal for monitoring, archiving, sharing website previews, or creating visual references of web pages.
Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like "what if...", "what would happen if...", "what are the possibilities", "explore scenarios", "scenario analysis", "possibility space", "what could go wrong", "best case / worst case", "risk analysis", "contingency planning", "strategic options", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.
Read, download or archive known web/social media links, URL lists, confirmed candidates or explicit bounded containers according to the user's request in the current turn. Supports explicitly bounded site archiving; not for keyword discovery, recommendation expansion or private bookmark export.
Give Claude a permanent, searchable long-term memory using an Obsidian vault as the store. At the end of a session, summarize what mattered and save it as a Markdown note in your "AI Brain" vault; at the start of a session (or on demand), read back only the relevant past notes. Local markdown you own — connected via the Filesystem MCP. Trigger with "wrap up", "save this session", or "remember this".
Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes and shareable card images. Use when user asks about AI news, daily tech updates, or wants news organized by date or category.
Manually write a durable page to an ai-memory instance via the MCP (memory_write_page) — for decisions, rules, gotchas, schemas/contracts, or operational constraints the user explicitly wants remembered. Use when the user says 'remember this', 'save this decision', or 'annotate X'. Not for routine notes (auto-capture handles those).
Prepares academic career documents and professional-development materials for faculty and researchers. Use when drafting academic CVs, research statements, teaching philosophies, diversity statements, faculty-position cover letters, tenure dossiers, promotion narratives, academic portfolios, or mentorship statements, and when planning conference-networking strategy, building academic web presence, setting up ORCID profiles, or understanding impact metrics. Part of the AlterLab Academic Skills suite.
Runs a 13-agent deep research pipeline for rigorous academic work on any topic across 7 modes (full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis), covering research-question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk-of-bias assessment, meta-analysis, APA 7.0 report compilation, editorial and devil's-advocate review, ethics review, and post-research literature monitoring. Use when the request mentions research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, or araştırma, literatür taraması, sistematik derleme, meta-analiz, araştırmamı yönlendir, or 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題. Part of the AlterLab Academic Skills suite.
Chinese job-application experience reframing skill: restructures real experience into job positioning, resume bullet points, project highlights and an HR opening pitch based on the target role; use when the user enters "/asu", "我要酥化", asks to package or rewrite experience or projects, or writes an HR self-introduction. If the user explicitly asks for "阿酥同款", to replicate a resume template, or to generate the corresponding HTML/PDF, hand off to /asu-resume.
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
Prepare for Chinese wealth management client meetings with performance summaries, talking points, and relationship context. Adapted from the original client-review skill for A-share portfolios and Chinese client conventions. Triggers on "A股客户回顾", "客户会议准备", "client review China", "wealth client review", "客户回访准备", or "prepare for client meeting [client]".
Operate native macOS apps via screenshots, mouse, and keyboard. Use only when a task cannot be completed through APIs, dedicated Skills, or file tools and requires real desktop interaction. For web tasks, prefer browser tools; for file reading/writing and code execution, use the corresponding tools; do not expand the scope of screen access on your own.
Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.
Researches a topic using parallel web search agents, then creates or updates a structured markdown playbook with sourced practitioner insights. Auto-invoke when user says "deep research", "research playbook", "create a playbook about", "update playbook", or asks to deeply research a topic and write findings into a document. Do NOT invoke for simple web searches, quick questions, or general research that does not produce a persistent playbook file.
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.
Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the author's reasoning patterns, decision-making style, or cognitive signature.
Find 10x product opportunities and high-leverage improvements. Use when user wants strategic product thinking, mentions '10x', wants to find high-impact features, or says 'what would make this 10x better', 'product strategy', or 'what should we build next'.
AI-powered job search assistant. Scan job listings, track applications, maintain dream company lists, and generate tailored resumes and cover letters. Use when the user wants to find jobs, run a job scan, set up job search, track applications, or prepare application materials.
Structured hypothesis formulation: turn observations into testable hypotheses with predictions, propose mechanisms, design experiments. Follows the scientific method. Use scientific-brainstorming for open ideation; hypogenic for automated LLM hypothesis testing on datasets.
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.