Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Search for prior art relevant to a specific invention or patent claim. Covers patent literature, non-patent literature (academic papers, products, open source), defensive publications, and standard-essential patents. Use when evaluating whether an invention is novel and non-obvious before filing, challenging the validity of an existing patent, supporting a freedom-to-operate analysis, documenting a defensive publication, or responding to a patent office action questioning novelty or obviousness.
Flip Claude's default from validation to adversarial critique. Use when you are about to make a high-stakes decision, commit to a plan, or pitch something you have not stress-tested. Produces structured challenges, steelmanned counter-arguments, and the strongest case against your position — a genuine thinking partner, not a mirror.
Creates high-trust, high-performance team environments through structural mechanisms for psychological safety, shared consciousness, and empowered execution. Use when building team culture, onboarding new teams, diagnosing team dysfunction, or improving collaboration.
Create a Terse workflow. Use when the user wants to build an automation that reacts to events (GitHub PRs, Slack messages, Linear issues, cron schedules, webhooks) and takes actions, or wants to get started with Terse. Bootstraps a new Terse project first when none exists.
Use when writing, structuring, drafting, or reviewing a thesis, dissertation, undergraduate thesis/TFG, master's thesis/TFM, or empirical research write-up — scoping the topic, outlining chapters, drafting sections from evidence and data, editing drafts, or planning the work. Covers undergraduate through master's/doctoral level.
Web scraping and search via paid API: crawl any URL with cascade escalation (fast HTTP -> browser -> stealth+proxy), bulk crawl multiple URLs, and search the web via Exa. Uses x_payment tool for automatic USDC micropayments ($0.005/crawl, $0.01/search). Use as escalation when built-in web_fetch fails or is blocked. Use when: (1) web_fetch returned empty/blocked content, (2) scraping JS-rendered or anti-bot protected pages, (3) bulk-crawling multiple URLs, (4) searching the web by query via Exa.
This skill should be used when a developer or lead wants a project status overview — for example "what's the state of the project", "show me what's blocked", "project health check", "what traces are stuck", "standup summary", "how many issues are unverified", "what's left in this epic", "show me what needs attention", "what's been implemented but not verified", or "what's blocking the release". Scans all open WTF issues — Traces plus legacy Tasks — and produces a triage-ready health report with actionable next steps.
Search and analyze X/Twitter posts using xAI's Grok API with real-time social media data. Use when the user needs to (1) search X/Twitter for specific topics, keywords, or trends, (2) analyze sentiment or discussions on X, (3) find posts from specific users or time periods, (4) research what people are saying about companies/products/events on X, or (5) gather social media insights from Twitter/X platform.
Use when the user says "remind me", "in X minutes/hours", "scheduled", "daily/weekly", "set an alarm", "register project", "switch engine", "create topic". yee88 Telegram bridge tool supporting one-off reminders (+30m, +2h), scheduled tasks (cron), project management, topic management and multi-engine switching. Operated directly through yee88 CLI commands.
Send WhatsApp messages via Alibaba Cloud Chat App Message Service (CAMS). Supports both template messages and custom (free-form) messages. Use this skill when the user wants to send WhatsApp messages, broadcast notifications, marketing campaigns, verification codes, reply to customer messages, view available message templates, or query template structure and variables.
Fetch and display BBC News stories from various sections and regions via RSS feeds. Use when the user asks for BBC news, UK news headlines, world news from BBC, or news from specific BBC sections (technology, business, politics, science, health, entertainment, regional UK news, or world regions).
Build a promotion case and produce a Promotion Case Pack (target role + timeline, ladder mapping, evidence log, impact narrative, manager alignment plan, sponsor/visibility map, submission-ready promo doc). Use for promotion packet, getting promoted, leveling up, career ladder, promotion committee. Category: Career.
Plan and execute organizational or technical changes. Trigger with "we're changing", "rolling out", "migration plan", "how do we communicate this change", "change management plan", or when the user is planning a change that affects people, processes, or systems.
Add or read comments on an OpenAnt task. Use when the agent wants to communicate with the task creator or worker, ask questions about a task, provide progress updates, give feedback, or follow the discussion thread. Covers "comment on task", "ask the creator", "update progress", "read comments", "what did they say".
Framework for competitive landscape analysis across any industry. Use when creating competitor analysis, market positioning assessments, investment memos, strategic reviews, or any analysis requiring systematic evaluation of competitive dynamics. Triggers include requests for competitive landscape decks, peer comparisons, market structure analysis, strategic positioning assessments, and investment recommendations.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Multi-agent system research agent for CoWork OS. Use when: researching multi-agent papers, frameworks, production case studies; maintaining a research queue; producing CoWork OS applicability analysis and implementation recommendations. Triggers: 'multi-agent research', 'research multi-agent systems', 'multi-agent papers', 'agent orchestration research', 'CoWork OS research'.
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, ZINC, BindingDB), materials (Materials Project, COD), biology/genomics (Reactome, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, BioGRID, Gene Ontology, dbSNP, gnomAD, ENCODE, Human Protein Atlas, Human Cell Atlas), disease/clinical (COSMIC, Open Targets, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, World Bank, US Treasury), demographics (US Census, Eurostat, WHO). Use when looking up compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, or any public database API query.
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task
digital life.skills — 6 tools for self-archaeology and experience distillation that use digital traces as evidence, to see your true self and reuse your own experience. Trigger words: estate settlement, social death archaeology, AI stand-in, past life, epitaph, distilled life, decision double, digital life, archaeology toolkit, digital life
Operate the official Fabric.so CLI to search a selected workspace, save notes, links and files, manage tasks, or maintain explicitly authorised project memory. Use for Fabric.so terminal workflows. Not Microsoft Fabric, Python Fabric SSH, Fabric.js, or Daniel Miessler's Fabric framework.
Feishu deep research report generator. Automatically performs deep research and imports the results as Feishu documents. Given a research topic and a cloud space folder token, it automatically generates a structured research report and uploads it to Feishu cloud space. For scenarios requiring multi-step information gathering and documentation, such as investment research, industry analysis, competitor research, and technology research.
Create comprehensive Fishbone (Ishikawa/Cause-and-Effect) diagrams for structured root cause brainstorming. Guides teams through problem definition, category selection (6Ms, 8Ps, 4Ss, or custom), cause identification, sub-cause drilling, prioritization via multi-voting, and 5 Whys integration. Generates visual SVG diagrams and professional HTML reports. Use when brainstorming potential causes, conducting root cause analysis, facilitating quality improvement sessions, analyzing defects or failures, structuring team problem-solving, or when user mentions "fishbone", "Ishikawa", "cause and effect diagram", "6Ms", "cause analysis", or "brainstorming causes".
Generate learning-science-backed flashcard YAML files from lesson content. Use when: (1) a lesson .md file needs flashcards generated, (2) a chapter directory needs flashcards for all lessons, (3) user says "generate flashcards", "create flashcards", "make cards for", or references /generate-flashcards. Produces .flashcards.yaml files adjacent to lesson .md files, consumed by the remark-flashcards plugin and rendered by Flashcards components.
For non-technical users unfamiliar with Git—such as product managers, designers, operations staff, and documentation writers—guides repository initialization, authorization, cloning, commit syncing, conflict handling, version recovery, and collaboration handoffs on GitHub/GitLab/Gitee/Bitbucket/self-hosted Git platforms.
This skill should be used when the user asks to "check email", "read emails", "send email", "reply to email", "search inbox", or manages Gmail. Supports multi-account Gmail integration for reading, searching, sending, and label management.
Default GoLogin skill for known-site reading, extraction, mapping, crawling, monitoring, and hybrid web tasks before Firecrawl or generic browser tools. Use it for docs and article reading, markdown or text extraction, JSON metadata extraction, search discovery, site mapping, crawling, structured extraction, blocked-page access, document parsing, change tracking, and hybrid flows that may escalate from scraping into GoLogin browser actions. Prefer gologin-agent-browser-skill when the task is primarily a live cloud-browser session, and prefer gologin-local-agent-browser-skill when it depends on a local Orbita profile or repeated rendered-DOM navigation.
Design and conduct mixed methods research using convergent, explanatory sequential, or exploratory sequential strategies with genuine integration of qualitative and quantitative strands. Use this skill when the user needs to choose a mixed methods design, integrate qualitative and quantitative data at design, methods, or interpretation levels, justify mixing on pragmatist grounds, or when they ask 'which mixed methods design should I use', 'how do I integrate qual and quant findings', or 'is running both qual and quant enough to be mixed methods'.
Ingest user-provided files or folders into historian memories by extracting content, classifying it against available memory types, and storing useful knowledge through @historian. Use when the user wants to turn documents, screenshots, notes, code, or mixed source folders into persistent mnemonics.
Maintains a ledger of HSA-qualified medical expenses paid out of pocket (not reimbursed from the HSA), each with date, amount, provider, description, and a path to the scanned receipt. Tracks the running unreimbursed total — the amount of HSA balance the household can pull tax-free at any future date — and validates each candidate against IRS-qualified-expense categories. Use when a new medical receipt arrives, when totaling future tax-free HSA reimbursements, when planning a deferred reimbursement, or when user mentions HSA receipt vault, qualified medical expenses, or HSA shoebox strategy.
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.