Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Map what the owner wants from the prompts they typed themselves (prompts an agent wrote are left out), then put their top priorities and open asks, each with dated quotes, in the Goals panel at the top of My Work. Use when asked for "owner goals", "my goals", "what do I want", "what am I asking for", "map my prompts", or to refresh Goals in My Work.
Use whenever the user wants to obtain, download, or fetch a paper's PDF — given a DOI, an arXiv id, a paper title, a citation, or a list of DOIs. Trigger on phrases like "download this paper", "find the PDF for [DOI]", "grab me the [Nature/bioRxiv/arXiv] paper on X", "get the open-access version", "I need this article", or any bulk/batch paper download request, even when the user doesn't explicitly say "PDF" or "DOI". Resolves via Unpaywall → Semantic Scholar → arXiv → PubMed Central → bioRxiv/medRxiv → publisher direct (institutional opt-in) → Sci-Hub mirrors as last-resort fallback.
Detects and removes cognitive biases from reasoning using Julia Galef's Scout Mindset framework. Provides reversal tests, scope sensitivity checks, status quo bias tests, confidence interval audits, and full bias audits. Use when a prediction feels emotional, stuck at 50/50, or when validating forecasting process. Use when user mentions scout mindset, soldier mindset, bias check, reversal test, scope sensitivity, or cognitive distortions.
Trove collection and normalization for swain-design artifacts. Collects sources from the web, local files, and media (video/audio), normalizes them to markdown, and caches them in reusable troves. Use when researching a topic for a spike, ADR, vision, or any artifact that needs structured research. Also use to refresh stale troves or extend existing ones with new sources. Triggers on: 'research X', 'gather sources for', 'compile research on', 'search for sources about', 'refresh the trove', 'find existing research on X', or when swain-design needs research inputs for a spike or ADR.
Set up (or toggle) a macOS desktop banner that appears whenever Claude Code finishes a task, showing a one-line summary of what was done. Use when the user says "notify me when Claude is done", "desktop notification on completion", "set up the task banner", "mute the banner", or "unmute the banner".
Agent-callable YouTube tools — search and read videos, update and delete videos, manage playlists and playlist items, read and post comments, rate videos, manage subscriptions, and read channel and caption metadata. Use when the user mentions YouTube or wants to find, comment on, or organize YouTube videos and playlists, even if they don't name YouTube explicitly.
Use when running a stage-gate or gate review for an AI product, deciding Go/Kill/Pivot at a gate, judging whether an AI initiative is ready to advance to the next stage, triaging a portfolio of AI ideas, or choosing between a full and a fast-track path. Applies a Stage-Gate process built for AI products — incremental investment, dual value-and-technical validation, alignment/ethics/data checks at every gate — to reach an evidence-based gate decision.
Use before starting a product, feature, MVP, agent, automation, or integration build to identify the main pre-build risk and choose the smallest validation step. Trigger when the user asks whether to build, scope, validate, prioritize, or sanity-check an idea before implementation.
Give the human a fast, plain-English catch-up on what changed in the project: what the agents did, why, and what decisions need their input. Use when the user asks to "catch me up", "what changed", "where are we", "recap", "brief me", "give me the rundown", "what did you do", "summarize the session", or "fill me in", or otherwise wants to get back up to speed after being away.
Identify and navigate genuine dilemmas in curriculum, school, or community contexts — tensions between competing goods that cannot be solved, only navigated. Produces a structured dilemma map with both poles named and both/and possibilities.
Guides clinical and health science research through PICOT question formulation, evidence hierarchy assessment, bias evaluation (Cochrane RoB 2, ROBINS-I), outcome prioritization, and GRADE certainty rating. Use when formulating clinical research questions, evaluating health evidence quality, prioritizing patient-important outcomes, conducting systematic reviews or meta-analyses, creating evidence summaries for guidelines, or assessing regulatory evidence.
Gmail Commander email triage—the three-category Haiku prompt and parser in lib/triage.ts, run on demand by the bot's /digest command. The scheduled digest runs in a private deployment with its own implementation. TRIGGERS - email digest, triage emails, digest categories
Searches scholarly literature with zero API keys across DBLP, Crossref, Semantic Scholar, and arXiv. Use when the user wants to find papers, search the literature, list a conference's proceedings (e.g. "all SIGSPATIAL 2025 papers"), survey related work on a topic, look up papers by author/venue/year, get DOIs or citation counts, or check recent arXiv preprints. Ships a venue-alias table that solves cross-API venue naming (DBLP "conf/gis" vs Semantic Scholar "SIGSPATIAL/GIS" vs Crossref proceedings titles) plus polite, cached, 429-resilient search scripts. Trigger words - find papers, literature search, related work, proceedings, DBLP, Crossref, Semantic Scholar, arXiv, citation count, DOI lookup, venue search.
Your dev team ships features nobody asked for while user-reported bugs pile up for months. Operations blames engineering for ignoring users; engineering blames operations for not understanding technical constraints. This gives you the complete Product × Engineering × Operations alignment SOP — from unified backlog to 10-day sprint cadence to veto power rules. What's inside: • Dual-layer Kanban system (master backlog + sprint board with unified tagging) • 10-day sprint standard process (Day 1 dev → Day 6 testable build → Day 10 ship) • Issue template with reproducibility requirements (3x reported = auto-severe) • Tri-party alignment meetings (daily standup / sprint planning / sprint review) • Operations veto power on releases (P0 bug = block shipping) • User feedback → product iteration closed loop (beta testing + interview SOP) • Core metrics framework (acquisition → activation → retention → monetization → referral) • Technical debt management (20-30% sprint capacity reserved) • Ready-to-use templates: Bug Report, Sprint Planning, Responsibility Matrix Built from: Real product strategy meetings + beta testing frameworks. References Supabase sprint model, Manus/DeepSeek commercialization alignment. By @WeiYipei. Triggers: "product ops" | "engineering operations" | "product development SOP" | "sprint planning" | "iteration management" | "cross-functional alignment" | "product engineering ops" | "dev ops collaboration" | "产研运协同" | "迭代管理" | "产品研发运营" | "プロダクト開発運営" | "제품개발운영"
Guide for implementing obsidian.nvim - a Neovim plugin for Obsidian vault management. Use when configuring, troubleshooting, or extending obsidian.nvim features including workspace setup, daily notes, templates, completion, pickers, and UI customization.
Manage page folders in PageCraft via the public V1 API — list/get/create/rename/move/delete folders, build hierarchies, and bulk reorganize. Use when the user says "create a folder", "rename a folder", "move a folder", "delete a folder", "build a folder structure", "show the folder tree".
Run no-key citation audits for academic papers using local evidence extraction, bundled TaShan-PaperChecker rules, and the current Codex model. Use when Codex needs to check .docx论文引用合规、正文引文和参考文献是否匹配、引用真实性、引文与上下文相关性、GB/T 7714 or UCAS reference-format issues, or when the user mentions PaperCheck, TaShan-PaperChecker, citation compliance, reference audit, citation authenticity, or 引文核验.
Send files, photos, audio, or videos to the current chat. MUST use whenever you need to deliver any file to the user. Covers: sending images, selfies, generated art, documents, music, videos, voice messages, screenshots, or ANY file the user asks to see. Triggers: 'send it to me', 'send it over', 'let me see', 'send me', 'show me', 'send photo', 'send file', sharing any file path. NEVER paste raw file paths in text — ALWAYS use this skill to send files.
Use for semantic work on an existing Iskron graph: closing lifecycles, sense on arrows, splitting kriyas with two actors, re-hooking after distinguishing phenomena — the graph exists structurally but is semantically incomplete. Triggers: «проткать», «прошить», «ткачество», weave, close lifecycle, fix tensions, leaked/relay-gap/orphan, iskron_orient(lens=\"tensions\") shows problems, high tension score on entry. Distinct from design: design creates structure from goals, weaving completes an existing one.
Read and use comments attached to the current PostHog task, its artifacts, and any canvas through the PostHog MCP exec dispatcher. Use when the user mentions task comments, artifact or canvas comments, annotations, selected-text feedback, replies, unresolved comments, or asks an agent to inspect or act on feedback left in PostHog Desktop. Covers exec discovery and calls, target filtering, pagination, full-thread retrieval, anchor/version context, task-scoped access, and standalone canvas comments that have no task
After any AI-generated explanation, require the learner to identify one place it could be wrong, one thing to check, and one source to consult. Builds epistemic vigilance — treats AI output as a claim to evaluate, not truth to absorb.
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.
Calls the Giiisp/集思谱 paper search POST endpoints, selecting OA title-abstract search or arXiv abstract, ID, multi-field, and title search based on the user's question. For paper search, literature screening, arXiv lookup, open-access paper supplementation, and citation audits.
Creates a lesson plan, student-facing materials, and observation template. Load this skill BEFORE asking the teacher any clarifying question about grade, subject, topic, standard, or timing. Use when a K-12 teacher needs a math, ELA, science, or social studies lesson built from scratch — even if grade, subject, or topic isn't yet stated. Do NOT load for grading, a rubric, assessment feedback, a quiz, or a standards lookup — answer those directly. Triggers on explicit requests (lesson plan, mini-lesson, unit plan, daily plan) and implicit teacher intent: "I'm teaching long division to 5th graders," "need to teach photosynthesis tomorrow." Core signal: teacher needs new instructional content created. A new lesson that asks for differentiated, tiered, or leveled materials is still ONE planning request — this skill produces those materials inside the lesson package; do not also invoke k12-lesson-differentiation. Not for differentiating an existing lesson (use k12-lesson-differentiation) or passage rewrites.
Every Fireflies meeting feature, plus offline search, cross-meeting intelligence, and a local database no other tool... Trigger phrases: `find stale action items from meetings`, `search my meeting transcripts for`, `who talked most in recent meetings`, `sync fireflies meetings`, `use fireflies-pp-cli`, `run fireflies`, `what did we discuss with`.
Research Dream. A memory-consolidation skill for research scenarios. When accompanying a research user long-term in any host environment (OpenClaw, Codex, Claude Code, Cursor, etc.), it gradually updates USER.md, SOUL.md, MEMORY.md and memory/YYYY-MM-DD.md through everyday conversation, and periodically performs a dream-like deep consolidation so that the memory files progressively move toward a Tashan-style research digital twin.
Executes a complete 7-stage deep research process. Accepts structured research tasks, automatically deploys multiple parallel research agents, and generates a comprehensive research report with full citations. Use this skill when the user has a structured research prompt.
Call or simulate a Deep Research workflow to organize paper retrieval, keyword breakdown, candidate evidence, and the final answer into a verifiable research report. Suitable for competition problem explanations, thesis proposal research, and organizing the rationale for a solution.
Agent-optimized CLI for Bluesky (ATProto) and X (Twitter). YAML in, YAML out, exit codes for automation. Use when the task involves posting, replying, reading feeds, searching, annotating URLs, or running a sync/check/dispatch agent loop across social platforms.
Map a scoped topic across three coexisting horizons — current system under strain (H1), preferred future (H3), and transition innovations sorted as H2+ or H2- — to understand change dynamics and identify responsible next actions.
Review the week using accumulated session evidence — retrieval rates, hint depths, calibration accuracy, transfer and unassisted results. The learner identifies patterns and sets a strategy goal. Use weekly or after a multi-session period.
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.