Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Package a finished piece of work (spec, prototype, implementation notes) into a single document that gets reviewers to understanding and approval fast. Use when the user needs buy-in, a review, or a shareable summary of what was built and why.
Implements file-based planning for complex multi-step tasks. Creates task_plan.md, findings.md, and progress.md as persistent working memory. Use when starting tasks requiring >5 tool calls, multi-phase projects, research, or any work where losing track of goals and progress would be costly.
Read-only Obsidian vault analytics CLI. Wraps the official `obsidian` binary (v1.12+) for live reads and maintains a local SQLite mirror for offline compound analytics (health score, orphans with age ranking, stale notes, broken wikilinks with source context, raw SQL). V1 is read-only by design — writes wait on the upstream markdown-patch frontmatter-corruption fix.
Turn a thesis, proposition, trend, question, or explainer topic into a citation-backed, image-rich, interactive website and deploy it with Vercel CLI. Use when the user asks to research a claim deeply, generate visuals, build a shareable web experience, publish a microsite, create an interactive story/report, or deploy a researched site to Vercel.
The scientific method as a universal problem-solving algorithm — goal-first, plural falsifiable hypotheses, designed experiments, and honest measurement, scaling from TDD to feature validation to MVP launch. USE WHEN think about, figure out, experiment, iterate, optimize, hypothesis, science, full cycle, quick diagnosis, structured investigation, how do we test, analyze results. NOT FOR multi-angle lens passes (use IterativeDepth).
Investigate a topic across papers, articles, social-media posts, and industry signals, then deliver an indexed Markdown report. Use when the user asks to investigate, survey, gather sources, build an index, collect evidence, round up references, or otherwise wants a thorough cross-source roundup on a specific topic. Depends on documenting-with-sources and writing-quotation.
View, search, and download academic papers from arXiv. Supports API queries, web scraping via Actionbook, and HTML paper reading via ar5iv. Use when user asks about arxiv papers, academic papers, research papers, paper summaries, latest papers, or wants to search/download/read papers
Turn course transcripts, verbatim transcripts, lecture scripts, or literature into self-contained Markdown courses, preserving key cases, operational steps, and professional judgment through source indexes, asset ledgers, and deterministic acceptance checks. Use when the user asks to generate a course overview, chapters, or a full course from one or more existing texts.
Feishu instant messaging, group chats and interactive cards: sending, replying, forwarding, urgent, recalling, resource download, chat history and threads, Reaction/Pin, member management and event subscription. Used to build or preview Card JSON 2.0, templates and card references, and also supports brand promotion and themed cards. Handles only IM messages and their resources; for cross-session keyword search use feishu-cli-platform. Explicitly not for mailbox email, video meeting recordings, Minutes or transcripts and their media downloads — use feishu-cli-mail and feishu-cli-meetings respectively.
Combines Pareto prioritization (80/20), timeboxing, and deep work techniques to manage attention, eliminate context-switching, and maximize high-impact output. Use when managing time and attention, combating procrastination, prioritizing high-impact work, planning daily/weekly schedules, or when user mentions timeboxing, Pomodoro, deep work, 80/20 rule, Pareto principle, focus blocks, task batching, or energy management.
Build and maintain an LLM-powered personal knowledge base or wiki. Use this skill when the user wants to organize research notes, build a second brain, set up an Obsidian vault with LLM compilation, ingest papers or articles automatically, or mentions "personal knowledge base", "LLM wiki", "second brain", "knowledge management", "ingest papers", "obsidian + LLM". Based on Karpathy Gist and 59k-like post.
Builds a structured literature review — survey of prior work, state of the art, related-work landscape — where every claim cites a verified reference. Use when the user says "literature review", "lit review", "survey the papers on X", "what's the state of the art", "synthesize prior work", or "organize these papers by theme". Composes sibling skills, search via find-papers (key-free DBLP/Crossref/Semantic Scholar/arXiv), full text via fetch-paper (legal open-access only), and citation checking via verify-citations. Tracks a screening corpus, extracts claims with section-level anchors, organizes by theme, and gates the final document with a deterministic checker so no claim ships uncited, unverified, or resting on a fabricated reference.
Transcribe meeting audio with speaker diarization, generate structured summaries with action items, decisions, and follow-ups, and support multiple audio formats and languages. Use when the user requests meeting transcription or provides relevant inputs for this workflow.
Audits resume ATS parseability, checks JD keyword coverage, and generates ATS-safe output recommendations. Use when users mention ATS, automated screening, keyword matching, resume parsing failures, or job platform formats. Provides explainable risk checks; does not guarantee passing any ATS or getting an interview.
Guides the creation of career documents for academic advancement including research statements, teaching statements, diversity statements, CVs, and biosketches. Combines strategic positioning, narrative coherence, and institutional alignment with authentic representation of contributions and vision. Use when writing or reviewing faculty applications, fellowship statements, promotion packages, award applications, or when user mentions research statement, teaching philosophy, diversity statement, biosketch, academic CV, or career narrative.
Scope, plan, and execute the reorganization behind approval gates. TRIGGER WHEN: organizing messy folders (Downloads, Desktop, Documents), finding duplicate files, cleaning up old files, restructuring project directories, separating work from personal files, or automating file cleanup tasks.
Proactive "make the most of gbrain" coaching. Runs `gbrain advisor` on a cadence and pings the user with the top high-leverage actions for their brain: version drift, pending migrations, stalled jobs, low embed coverage, setup smells, and uninstalled brain skills. Read-only; always asks before fixing.
Analyze job descriptions (JDs), assess role fit, extract requirements and keywords, identify gaps, and develop an application strategy. Use when the user asks “Am I a fit?”, “How well do I match?”, “Analyze this JD,” or is preparing to tailor a résumé to a JD. Treat the JD only as target information; never treat job requirements as facts about the candidate.
Helps engineering managers break down knowledge silos and build sustainable documentation and collaboration practices — produces a four-root-cause diagnostic for silos, an Engineering Guilds framework, a minimum-viable documentation approach using ADRs, a structured onboarding model, and a cross-team request decision framework. Use when the user says "knowledge silos," "reinventing the wheel," "nobody reads docs," "onboarding is bad," "teams don't talk," "documentation culture," "cross-team friction," "information doesn't flow," or "new hires struggle to ramp up."
Use when a topic or news stream needs recurring monitoring — cover it with web search, multi-language sources, digest formatting, and automated delivery via Hermes cron jobs. Covers search strategy, source selection, Chinese-language platforms, and digest templates.
Use when planning, funding, scoping, or synthesizing enterprise research across workstreams — clinical study design, R&D program finance, market sizing/surveys, or product/user research. Triggers on "design this clinical study", "what sample size", "R&D budget", "burn rate", "capitalize or expense", "TAM SAM SOM", "market sizing", "survey design", "segment the market", "plan user interviews", "usability test", "synthesize research insights". Forks context to route to one of four Research-Operations sub-skills (clinical-research, research-finance, market-research, product-research) and returns a digest. Distinct from ra-qm-team (regulatory submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), and marketing-skill (campaign analytics).
Rewrite, diagnose, or strengthen résumé experience and project bullets. Use when the user asks to improve project descriptions, quantify results, use STAR/X-Y-Z, make a résumé more impactful, or provides weak bullets. Output only evidence-backed rewrites and questions requiring confirmation; do not invent numbers, skills, or results.
Interactive post-session retrospective that captures learnings, updates skills, and saves memories. Use when the user says "/retrospective", "let's do a retro", "what did we learn", "session review", "retro", or "wrap up". Also use at the end of long productive sessions when significant patterns or corrections emerged. Supports multi-session mode — by default processes all of today's sessions across projects.
[user/auto] Use when structuring output so the key points, actionable steps, and confirmed completion status are easy to find in answers and work results. It does not handle session state restoration, handoff write-ups, task execution, medical advice, or skill maintenance.
Set up, refresh, run, and diagnose ZotLit's Native Pandoc Workflow with a user-installed Pandoc CLI. Use when a user wants native Pandoc to convert an Obsidian Markdown file through the ZotLit Pandoc Integration Pair. Requests for ZotLit's built-in Obsidian export belong to its built-in export command.
Conducts market, competitive, domain, and technical research using live web sources, producing a cited research-report.md to inform BMAD planning decisions. Use when the user says: - "research [topic/market/technology]" - "competitive analysis" or "who are the competitors" - "market size" or "market landscape" - "technical research" or "evaluate [technology/framework]" - "domain research" or "industry analysis" - "what does the market look like" - "find out about [technology/space]" - "I need research before we plan" - "gather information on [topic]" Supports three modes: Create (new research), Update (refresh existing report with new sources), Validate (cross-check claims in an existing report against live sources). Output lands in bmad-output/ as a cited research-report.md ready for downstream planning skills (business-analyst, product-manager, system-architect).
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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.