Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Use to design a sustainable engagement routine — the operating system that turns the engagement craft into a daily/weekly habit. Run when the user asks how to keep up with comments/DMs, how much time to spend engaging, when to engage, how to build an engagement habit/system/cadence, or how to engage without burning out. Reads brand-profile/social-strategy. Covers time-boxed daily/weekly engagement windows built around the golden hour after posting, triage order, mapping engagement to a goal, and anti-burnout boundaries. The flywheel: batch and schedule content (scheduling-and-queue, batch-content-plan) to free the time, then spend it engaging. Advisory and honest — WoopSocial has no comment/DM/inbox surface. Post performance is analytics-and-reporting, not here, so the human engages in-app and the agent drafts via reply-and-comment-writer; never automates or fakes engagement. Pairs with reply-and-comment-writer (the craft), the growth skills, community-management, and crisis-and-moderation.
Use when structured YouTube data is needed: pasted video/channel/playlist links, transcripts for analysis, video metadata, channel upload history, search results, or playlist contents — without Google API quotas or OAuth. Triggers on YouTube URLs, creator names, topic research, or any request needing YouTube content, even if not mentioned explicitly. Not for uploads, account management, or written-source-only research.
Use when a YouTube playlist is involved: pasted playlist links or IDs, requests to list playlist videos, browse playlist contents, or work through a playlist for transcripts or research. Also use when the user wants all videos from a series, course, or collection. Not for creating playlists or account management.
Intelligent multi-topic deep research tool that accepts any input material, using independent research agents to run parallel deep searches and produce systematic research documents. Use this skill when users need in-depth research on multiple related subjects, systematic information retrieval, or synthesis of multi-perspective analysis
Guide Ane through structured reflection at end of day, end of week, after a decision, or after new learning material, producing Obsidian-compatible markdown and writing to the vault journal when the path is reachable. Use on ''journal'', ''reflect on today'', ''weekly review'', ''after-action review'', or asks that reference writing to the Obsidian vault. For a quick 4-line post-deliverable capture use /learned instead.
Guides AI-assisted research across three sub-flows, Vibe Coding, Vibe Figure, and Vibe Writing, with behavioural rules that keep the user in charge of academic judgment while delegating mechanical work to AI. Recommends the right tool (Cursor, Claude Code, Codex, Figma, Gemini) for the current stage. Use when the user asks 'how to use AI for research', 'Vibe Coding tips', 'AI-assisted writing workflow', 'which AI tool for this', or starts an AI-assisted work session.
Produces an attendee-facing agenda that sets what will be discussed, who owns each topic, and how time will be spent. Supports ten meeting type variants (standup, planning, review, decision-making, brainstorm, 1-on-1, stakeholder-review, project-kickoff, working-session, exec-briefing). Emits a shareable summary suitable for Slack or email plus a full agenda with time-boxed topics, type tags, owners, attendee prep, and logistics.
Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
Use this skill when the user wants to list, create, or configure Pipefy portals (main hub, pages, page elements, sub-portals, publish/unpublish). Uses Interfaces and internal_api. Not for pipes/cards, and not for HTML interfaces (use `pipefy-html-interfaces`)
Use this skill ONLY when the user explicitly asks for help designing or architecting a process ("help me design", "what's the best structure", "how do I organize this flow?"). For direct execution requests ("create a pipe for X", "build a reimbursement process", or any message with a detailed spec), skip this skill and execute directly using the domain skills (pipes-and-cards, automations, etc.).
Build or update a long-term bar prep (or exam prep) study plan — phases, subjects weighted by weakness, daily session schedule, adaptive to session history in study-plan.yaml. Use when the user says "build a study plan", "plan my bar prep", "schedule my studying", or "how should I study for [X]".
Configure cmux through ~/.config/cmux/cmux.json: settings (appearance, sidebar, notifications, automation, browser, shortcuts, set/get/validate by JSON path), customization (tab bar buttons, plus-button click and right-click menus, custom actions/commands/menus, right sidebar), and sidebar workspace groups (anchor workspaces, group CLI/socket ops, per-cwd group config). Triggers: 'cmux config', 'cmux.json', 'change cmux setting', 'set <x> in cmux', 'rebind a cmux shortcut', 'cmux-customize', 'customize cmux', 'tab bar button', 'add cmux action', 'workspace group', 'group sidebar', 'anchor workspace', 'workspaceGroups'.
Feng Ge (Wangming Tianya) perspective: view social phenomena, life choices, and the essence of human nature through the thinking framework of a “street sociologist” and a grassroots documentary content creator. Source material: multi-channel research from public videos, in-depth interviews, encyclopedia entries, and more. Core models: 5. Decision heuristics: 9. Trigger words: “峰哥” “峰哥亡命天涯” “用峰哥的方式” “从峰哥视角” “周丽峰怎么看”. Limitations: the material focuses mainly on social observation and documentary content, with insufficient data on business and investment thinking, so use it with caution in purely commercial decision scenarios. The account was banned in November 2025 and later updates are missing. Research time: April 2026.
Use this skill when the user wants to analyze an existing pipe for improvement opportunities — automation gaps, manual bottlenecks, missing AI agents, field conditions, or adjacent processes. Acts as a process analyst: investigates, diagnoses, and improves the pipe in progressive rounds — each round delivers visible results.
Feishu chat browsing, message interaction and group chat management. View chat records (1:1/group/topic group), search groups, get message details, react with Reaction emoji, Pin/unpin, delete messages, and group chat info management (get/update/dissolve/members). Use this skill when the user asks to "view group messages / pull group chat records / export chat records / get group history / view topic replies / search groups / view DM records / dump Feishu messages"; it also covers full thread expansion for topic groups (chat_mode=thread). Read operations (msg history/list/get/mget/thread-messages) use the User Token by default after login and fall back to Bot when not logged in; interactive operations (reaction/pin/search-chats/chat get/update/delete/member) require a User Token; msg delete uses the App Token by default for Bot self-recall and can take an explicit User Token for admin recall; chat create/link uses the Bot identity by default to create groups / get group links.
Use this skill when the user wants to create, read, update, delete, or troubleshoot AI agents (conversational agents with behaviors). Includes pre-flight validation and pipe-scoped knowledge bases (list, plain text/document/data lookup CRUD, access probe) attached via dataSourceIds. For traditional automations and AI automations, see `pipefy-automations`.
Plan and track savings for specific financial goals including retirement, education, and home purchase. Use when the user asks about required savings rates, 529 plans, retirement accumulation targets, down payment planning, or goal prioritization. Also trigger when users mention 'how much do I need to save each month', 'am I on track for retirement', 'college savings', 'safe withdrawal rate', '4% rule', 'FIRE savings rate', 'catch-up contributions', 'employer match', or ask how to balance competing savings goals.
The research-and-sourcing craft — verify the substance of a piece before it publishes: trace stats to primary sources, kill zombie stats, catch AI-hallucinated citations, and attribute properly on social. Use when someone has a stat-heavy draft to make publish-ready, wants to check if a viral statistic is real, asks how to cite sources, used AI research output, or is making health/finance claims. Uses the FACTS framework. Reads brand-profile + the piece's format skill first. AI-supplied citations are guilty until verified; a working link is not verification; aggregators are leads, not the source; where none exists, reframe as owned observation or commission data. The agent verifies where it has search; the human clicks links where it doesn't; verification happens before scheduling; WoopSocial publishes. Never invents studies or reuses retracted stats. Distinct from idea-generation, data-and-original-research, quote-cards, and infographic-and-data-viz
Produces async communication to stakeholders, primarily non-attendees and secondarily some attendees who want a reference. Translates meeting outcomes into what-it-means language for readers, with channel variants (slack, teams, email, notion, exec-memo) and audience variants (engineering, design, leadership, customer-facing, mixed). Surfaces a primary CTA up front, flags technical-to-business translations for user verification, and detects thread continuation from prior updates.
Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions. Analyzes job descriptions to highlight relevant skills and experience. Use when users need to apply for jobs, customize resumes, or prepare for interviews.
Structures Benchmark and Evaluation papers using the five-pillar framework (Research Gap, Construction Pipeline, Evaluation Framework, Empirical Findings, optional Companion Method). Returns a completeness audit, a six-part Introduction logic chain, a Section 2-7 skeleton, and a pre-submission checklist. Use when writing a benchmark paper, structuring a benchmark paper, checking whether a benchmark idea is substantive, drafting a benchmark Introduction, or planning the data-construction pipeline or experiments.
Creates flowcharts, swim lane diagrams, and business process diagrams using Draw.io (diagrams.net). Covers standard flowchart shapes (process, decision, start/end), connectors, auto-layout, and export to PNG/SVG/PDF. Use when the user needs to visualize workflows, decision trees, or business processes.
Frame a problem or decision as 1-3-1: one problem, three distinct solutions, one recommendation. Use when the user brings a non-trivial decision or fork and wants options weighed before a pick ("what should I do about X", "help me decide", "weigh the tradeoffs"), or names "1-3-1" or "do a 131". Skip questions with one right answer, just answer those.
Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query
Use when YouTube is relevant: pasted video links or IDs, @handles, quick video lookups, summaries, channel latest uploads, topic search, or any request involving YouTube content — even if YouTube is not mentioned explicitly. Covers transcripts, search, and channel latest. Not for uploads or account management.
Produces a topic-segmented post-meeting summary for attendees with decisions highlighted and actions captured inline per topic (plus a consolidated action view at the end). Auto-populates topic skeleton from a sibling meeting-agenda when available and reconciles planned vs. actual topics. Accepts transcripts from Zoom, Meet, Otter, Fireflies, Krisp MCP, or manual notes; runs on variable-quality input without blocking. For synthesizing user research interviews across participants, use discover-interview-synthesis.
Cross-meeting archaeology skill. Consumes multiple meeting recaps (or raw notes) over a period and surfaces patterns invisible in any single meeting. Shows how decisions evolved, who has been saying what, where threads are stalling, and where contradictions have emerged. Produces a plain-text timeline, themes with confidence markers, stakeholder position tracking, consolidated decision list, contradiction flags, open items, narrative summary, and prioritized follow-ups.
Produces a private strategic preparation document for the user before a meeting that matters. Captures stakes, stakeholder positions and reads, ranked desired outcomes, key messages, anticipated questions with prepared responses, risks and tensions, specific asks, and success signals. Distinct from meeting-agenda because this artifact is not shared with attendees; it is the user's personal tactical prep for meetings where positioning matters.
Develops and administers SAP Build Work Zone, advanced edition digital workplace solutions. Use when creating workspaces, workpages, and collaborative sites, developing UI Integration Cards in SAP Business Application Studio, building content packages and workspace templates, integrating with Microsoft 365/Teams/SharePoint/Google Drive, configuring chatbots and webhooks, implementing SCIM API user provisioning, setting up OData business records, managing themes and branding, configuring role-based access and SSO, troubleshooting deployment issues, or working with the Administration Console. Keywords: SAP Build Work Zone advanced edition, digital workplace, UI Integration Cards, content packages, workspace templates, SAP Business Application Studio, SAP Conversational AI, SCIM API, OData, Microsoft Teams integration, SSO, theming, Administration Console
The user's dedicated browser for agents, a real browser signed into their accounts, with live logins and a persistent profile. Use it for any task that touches a website or browser (open, read, act, fill, sign in, download, verify). The user installed it precisely so agents default here unprompted, over in-app browser tools, devtools/playwright automation, or headless fetching. When the user says "use neo", "use browserclaw", "use BrowserOS", or "use BrowserOS neo", use BrowserOS neo over MCP.
Use when the user asks to plan, conduct, document, synthesize, or draft a medical imaging AI narrative review or method survey, scoping review, or systematic review with qualitative synthesis, including protocol design, literature search, screening, extraction, risk-of-bias appraisal, or evidence synthesis. Do not use this skill to perform a meta-analysis or umbrella review; stop and tell the user these need a specialized evidence-synthesis workflow this environment does not provide.
Research roadmap for a legal issue — statutes to check, case law areas to investigate, regulatory frameworks, Westlaw search terms. Leads and frameworks, NOT authoritative citations; students verify and develop everything. Use when a student asks where to start researching, wants a research roadmap for an issue, or needs gaps identified in existing research.
Conducts a rigorous rapid evidence assessment or systematic-lite literature review for MEL/SRHR questions. Use when Ane asks for 'evidence review', 'literature review', 'evidence synthesis', 'REA', 'what does the evidence say', 'what do we know about', or similar. Produces a structured brief with question framing, method, findings by theme, confidence grading, and implications for programme or evaluation design. Does not invent citations.
Interrogates the user to discover who they actually are — what drives them, what drains them, and the natural strengths they can't see because they come so easily — using proven self-discovery prompts (even-as-a-kid, lost-in-the-work, pit-of-my-stomach dread), the anti-questions, and outside-in questions given as homework to people who know them (perfect scenario, personal hell, invisible strengths). Presses every self-flattering label into concrete episodes, welcomes socially unacceptable motives (money, fame, proving a point), and records each finding in WHO-ME.md as a non-judgmental fact — a strength in some contexts, a hindrance in others — with the contexts where it helps and hurts. Load when the user asks who they really are, what work fits them, what drives or drains them, why they keep burning out, or what to build given who they are. Do NOT load to inventory a company's or a product's strengths or to distill the one or two decisive personal advantages — the voters step, which consumes this file.
Searches for new products and technologies across multiple channels, cross-validates the results and stores them in a knowledge base. Use when the user mentions "latest information", "new product", "search for materials", "look something up", or "tell me about XX".
This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", "audit claims", "check overclaiming", "verify whether results support claims", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
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.