Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Drive an end-to-end GitBook docs review flow from Claude Code by calling the GitBook REST API directly with curl (no CLI) — create a change request, push content (update an existing page and create a new page), request reviewers, notify Slack, then pull review comments back in, fix them, re-push, and resolve. This is the authoring-side companion to cr-review (the reviewer side over the same API). Use this whenever someone wants to run a "docs review in GitBook" loop from the terminal/agent against the raw API (curl/HTTP), mentions creating a change request via the API, pushing content into a CR, "pull in the latest comments and fix them", requesting review on docs, or showing engineers how to collaborate on GitBook docs from Claude + Slack without a CLI.
Turn founder notes and metrics into investor-ready pitch decks with a tight storyline, one-idea slides, and chart-first evidence. Use when the user asks for a pitch deck, fundraising deck, investor presentation, or startup deck (not populating an existing PowerPoint template). Create pitch decks with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Produce one of three learning-agenda output types: canonical federation agenda (v1), 1-page quarterly RAG dashboard (v2), or MA adaptation template (v3), operationalising the IPPF EN A+C hybrid locked 2026-05-10. Reuses verified citations from the wiki only; never fabricates sources; applies the IPPF Visual Identity 2025 brand. Use when Ane asks for a learning agenda, annual learning questions, the RAG dashboard, or the MA adaptation template.
Convert a Researcher Evidence Brief (one slug under literature-reviews/) into one of four learning products: MA-facing 2-page brief, workshop / CoP pack, regional learning brief, or donor / management talking-points memo. Reuses the brief's verified sources only; never fabricates citations; applies IPPF Visual Identity 2025 brand and the Tier 1 working-brief register. Use when Ane asks for a learning product or names one of the four output types from an Evidence Brief.
Review the README or a documentation page from several real reader points of view at once. Fans out one parallel reviewer per audience — Claude Code newcomer, power user, plugin/skill author, skeptical senior engineer, non-running decision-maker — each scoring it x/5 and naming concrete, line-level fixes. Use when asked to review, critique, grade, or "get to N/5" the README or any front-door doc, or to check how a doc reads for real users. Not for code review (use /code-review for that).
Draft a brief section in house style, consistent with the case theory — every fact cited, every case checked, every argument tied to the theory. Use when the user says "draft the [section]", "write the statement of facts", "argument section on [issue]", or needs a first draft of a brief section
Turn event briefs into wall- or screen-ready posters with headline zone, hero visual intent, and scannable logistics — not programs, slide decks, or handout flyers. Use when the user asks for an event poster, concert poster, festival promo, exhibition poster, meetup banner, or large-format promo. Create event posters with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Blueprint professional fillable PDF forms—applications, registrations, intake packets, and compliance worksheets—with clear field inventory, section flow, and print-friendly hierarchy before layout. Use when the user asks for a fillable PDF, PDF form, AcroForm-style document, or interactive application packet. Create fillable pdfs with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Routine client correspondence from templates — appointment confirmations, document requests, brief "we filed it" updates. Plain language, required elements, supervision routing. NOT substantive advice. Use when a student needs to send routine correspondence, an appointment confirmation, a document request letter, or a brief status note to a client.
Extracts Feishu/Lark Docs, Wiki, Sheets, and Minutes (妙记) transcripts into faithful local Markdown via the lark-cli API — no LLM paraphrasing, browser-DOM fallback when lark-cli can't reach content. Use whenever the source is a Feishu/Lark URL and fidelity matters — 导出飞书文档/合集/妙记转写, 把飞书 wiki 转 markdown, or archiving a collection — even if the user just says "save this". Also covers owner-exported .docx → Markdown.
Google Workspace CLI (gog v0.10.0) for Gmail, Calendar, Drive, Sheets, Docs, Contacts, Tasks. Triggered by requests such as "send an email", "show my calendar", "upload to Drive", "create a spreadsheet", "search contacts", "add a task". Authenticated account: (the account authenticated with gog)
Produce an MA-facing deliverable in Romanian, French, Spanish, or Russian to IPPF rigour, with English as the canonical source: curated SRHR glossary, register preservation, safeguarding-aware term choices, back-translation QA, native-review flags. Use for any localise, translate, or review-my-translation ask, including slide-deck or Storyline exports to Word where the translatable text sits in slide images. Never authors from scratch in the target language. Not for instrument design (instrument-designer), English voice audits (ane-voice), or research video analysis (video-content-analysis).
Automatically searches prior art via SerpAPI and generates Chinese patent application forms. This skill should be used when the user wants to generate Chinese patent application forms, or mentions "patents", "inventions", or wants to protect technical innovations.
Generate a Privacy Impact Assessment in house format for a new feature, product, or processing activity, using the structure learned from your seed PIA. Use when the user says "write a PIA", "privacy impact assessment for", "do we need a PIA for this", "privacy review this feature", or describes a new data processing activity.
Applies the Diataxis framework to create or improve technical documentation. Use when being asked to write high quality tutorials, how-to guides, reference docs, or explanations, when reviewing documentation quality, or when deciding what type of documentation to create. Helps identify documentation types using the action/cognition and acquisition/application dimensions.
Read VDR documents and extract issues per house categories and materiality thresholds, producing findings in house memo format. Use when user says "review the data room", "extract issues from [folder]", "diligence review", "what's in the VDR", or points at VDR documents.
Triage a subpoena served on the company — classify it, analyze scope/burden/privilege, cross-check the portfolio, and produce an objections framework, compliance plan, and deadline calendar. Use when the user says "we got a subpoena", "served with a subpoena", or shares a subpoena, CID, or third-party document request to evaluate.
Trace how a contract has changed across its base agreement and all amendments — either a summary of all changes over time, or a provision trace for a specific clause. Use when the user says "what changed in this contract over time", "show me the amendment history", "where's the latest [clause]", "how has [provision] evolved", or uploads multiple versions of an agreement.
Review an offer letter and any restrictive covenants — jurisdiction check included. Substantive rules (covenant enforceability, pay transparency, salary-history limits, exemption criteria) are researched per hire, not stored. Use when the user says "review this offer", "can we use a non-compete here", "check this offer letter", "hiring in [state]", or attaches an offer.
Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on "extract this datasheet", "what are the specs for MPN X", "verify datasheet extraction", or "check pin functions for part Y".
Build or extend a course outline in your format, from class notes and casebook. Scaffolds — it does not write the outline for you. Use when the user says "outline [subject]", "add to my outline", "build an outline from", or points at class materials.
Tabular review — one row per document, one column per data point, every cell cited to source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment, and MAC clauses") but works for any batch review that needs a spreadsheet out the other end. Use when user says "tabular review", "review grid", "build a grid", "extract these fields from these contracts", "review these documents for X, Y, Z", "give me a spreadsheet of", "batch review", or points at a folder of documents and asks to compare them.
Creates comprehensive Technical Design Documents (TDD) with mandatory and optional sections through interactive discovery. Use when user asks to "write a design doc", "create a TDD", "technical spec", "architecture document", "RFC", "design proposal", or needs to document a technical decision before implementation. Do NOT use for README files, API docs, or general documentation (use docs-writer instead).
Build the material contracts disclosure schedule from diligence findings, applying the purchase agreement's Material Contract definition and formatting per the agreement's schedule format. Use when user says "build the contracts schedule", "disclosure schedule", "schedule 3.X", "material contracts list", or when drafting disclosure schedules.
Translates a contract review into a summary the business stakeholder will actually read. Not a legal memo — a two-minute answer to "can I sign this and what do I need to know." Use when user says "summarize for the business", "write this up for [stakeholder]", "explain this to procurement", "non-legal summary", or when a review is done and needs to go to someone outside legal.
Author, configure, structure, and troubleshoot OpenAPI/Swagger API reference documentation in GitBook. Use this whenever a task involves a GitBook OpenAPI block or `{% openapi %}` block, adding or updating an OpenAPI/Swagger spec in GitBook (by file or URL, via the API, MCP, CLI, or app UI), generating API reference pages from a spec, configuring the interactive "Test it" runner (auth, servers, CORS, proxy), customizing pages with GitBook `x-*` extensions (icons, titles, navigation hierarchy, code samples, enum descriptions), marking operations experimental/deprecated/hidden, or automating spec updates in CI/CD. Trigger even when the user only mentions GitBook plus OpenAPI, puts an `x-` extension on a spec destined for GitBook, or asks "why isn't my spec loading" or "why doesn't Test it work", without naming this skill.
Draft a unanimous written consent of the board or a committee in house format, with precedent search from the consents repository. Handles multi-resolution consents, director conflict flags, state-law notice requirements, and signatory tracking, with a built-in scope warning for major one-off actions. Use when user says "written consent", "unanimous consent", "board consent", "consent in lieu", "UWC", or describes an action needing board approval without a meeting.
Triage an inbound demand letter — extract fields, cross-check the portfolio, assess merit, present response options with a recommendation, and hand off to matter-intake or demand-intake if escalation is warranted. Use when the user says "we got a demand letter", "triage this demand", or shares an incoming demand to evaluate.
Read and analyze academic papers from Zotero library. Use when the user requests to read, access, or analyze a paper by title, author, or topic from their Zotero library. Automatically searches Zotero, converts PDFs to markdown, saves to Notes/PaperInMarkdown, and provides analysis.
Use this skill whenever the user wants text extracted from images, photos, scans, screenshots, or scanned PDFs. Returns exact machine-readable strings with line-level text and optional bbox coordinates. Strong accuracy for CJK, small print, and handwritten text. Trigger terms: OCR, 文字识别, 图片转文字, 截图识字, 提取图中文字, 扫描识字, 识字, 纯文字, plain text extraction, 坐标, 检测框, bbox, bounding box, image to text, screenshot, photo scan, recognize text.
Creates or rewrites a README for the project consumer, using verified install commands, a runnable quickstart, and house presentation conventions. Use when asked to "write a README", "rewrite our README", or replace scaffold boilerplate. For an in-place prose audit use docs-writing; for agent instructions use agents-md
Build a deposition outline for a witness — pull their documents from the eDiscovery platform, organize topics around the case theory, and surface impeachment material. Use when the user says "depo prep for [witness]", "build a depo outline", or "prepare for [name]'s deposition".
Remove signs of AI-generated writing from text to make it sound more natural and human-written. Use when editing or reviewing any form of document including: markdown, technical docs, emails, blog posts, PRDs, or any dedicated writing content. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Generate and improve accessible alt text for data visualizations and images in R packages and Quarto documents. Use when the user wants to add, improve, or audit alt text for figures in a pkgdown site or .qmd files. Activate for requests that mention fig-alt, fig.alt, figure descriptions, or alt text in the context of an R package or Quarto document.
Draft a DMCA takedown notice, triage one you received, or draft a §512(g) counter-notice. Use when asserting copyright through a §512(c)(3) takedown with the fair-use and perjury gates, when an incoming takedown needs triage into comply / counter / engage / ignore options, or when drafting a §512(g)(3) counter-notice with the consent-to-federal-jurisdiction gate.
Add data to an open investigation — documents, interview notes, or observations. Processes batches against the documented pull criteria, surfaces significant items, and logs everything reviewed for coverage verification. Use when new evidence, interview notes, or document productions come in for an open investigation.
Diff a specific regulatory change against the indexed policy library. Use when a reg has changed and you need to know which policies it touches and what the gap is, when the user says "diff this reg against our policies", "which policy does this affect", or "gap analysis", or when reg-feed-watcher hands off a material item.
Produce a proposed marked-up policy redraft that closes a gap found by /regulatory-legal:gaps or /regulatory-legal:policy-diff. A first draft for internal review — not for direct application to approved policy documents. Use when the user says "redraft the policy", "draft the policy fix", "mark up the policy", or when gap-surfacer hands off a gap for drafting.
Detects when Luminance, Kira, or a similar bulk-review tool is in use, hands off the high-volume clause extraction to it, and QAs its output per the trust level in ~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md. Use when user says "send to Luminance", "bulk review", "AI extraction", or when diligence-issue-extraction hits a high-volume category.
Generate Mermaid diagrams (.mmd) and export to PNG/SVG/PDF using mmdc CLI or Kroki API. USE THIS SKILL when user mentions diagram, flowchart, sequence diagram, class diagram, ER diagram, state machine, architecture, visualize, git graph, 画图, 架构图, 流程图, 时序图, 类图, ER图, 甘特图, 状态机. PROACTIVELY USE when explaining ANY system with 3+ components, API flows, authentication sequences, class hierarchies, database schemas, or state machines. Supports 17+ diagram types with fully automatic layout.
Generate comprehensive admin documentation for AEM Edge Delivery Services project handover. Creates admin guide covering Config Service setup, permissions, access control, Admin API operations, cache management, and code sync. Use for "admin guide", "admin documentation", "admin handover".
Aggregate diligence findings into a deal team briefing at the right altitude for the audience — exec summary for leadership, working summary for the team. Use when user says "brief the deal team", "what's the state of diligence", "summarize findings for [audience]", "deal update", or on the briefing cadence.
Feishu doc Markdown authoring guidelines, especially import compatibility checks for Mermaid/PlantUML, callouts, tables, images, and formulas. Use when the user wants to generate Markdown for import into Feishu docs, troubleshoot doc import rendering failures, or needs Feishu-compatible diagram syntax.
Generate weekly status-request email drafts to outside counsel across the active portfolio — markdown per matter, plus Gmail drafts when the MCP is available. Use when the user asks for OC status requests, weekly outside counsel check-ins, or wants per-matter status emails drafted from the portfolio log.
Draft a firm AI usage policy from published model policies, adapted to your practice profile — a research-and-synthesis tool whose output is a draft for attorney review and adoption, not a finished policy. Use when user says "draft an AI policy", "we need an AI policy", "build an AI usage policy", "our firm needs a GenAI policy", or similar requests to generate a first-cut internal AI policy.
Review vendor AI terms — agreement, addendum, or ToS AI provisions — against your governance positions; flag training-on-data, liability, model changes, and AI policy consistency. Use when user says "review this AI agreement", "check OpenAI terms", "what did we agree to with [vendor]", "vendor sent an AI addendum", "is this AI contract okay", or attaches vendor AI terms.
Draft an audience-specific summary from the privileged investigation memo — HR, leadership, or outside counsel versions. Use when an investigation memo needs to be communicated to an audience that should not see the full privileged work product.
First-pass privilege log review — make the obvious privilege calls and flag the hard ones for attorney review without making close calls. Use when the user says "review the privilege log", "priv log", "check privilege on these docs", or has a log to QA before production.
Case status summary by audience — client-facing (plain language), internal (for the professor), or court-ready (formal caption format per local rules). Same facts, different framing and depth. Use when a student needs to update the client, brief the professor, or prepare a court status report.
Assembles comprehensive board and investor update decks by pulling perspectives from all C-suite roles. Use when preparing board meetings, investor updates, quarterly business reviews, or fundraising narratives. Covers structure, narrative framework, bad news delivery, and common mistakes.
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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.