Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Build and preflight submission-ready LaTeX/PDF artifacts for Light stage 11. Use when receiving a paper-writing manuscript, figure delivery, citation delivery.json/references.bib/citekey-audit.json, or a venue/template profile; when selecting pdfLaTeX/XeLaTeX/LuaLaTeX and BibTeX/Biber; when diagnosing LaTeX errors or unresolved references; when checking page limits, double-blind identity, PDF metadata, template, page box, embedded fonts, TODOs, figures, tables, labels and citations; or when producing a reproducible compile manifest, PDF, compliance report, failure bundle and venue-matching handoff. Distinguishes PASS, manuscript ERROR, toolchain UNAVAILABLE and convergence UNRESOLVED without redoing citation authenticity or figure scientific QA.
Build a searchable Asta document index from a collection of local PDF files. Use when the user asks to "index these PDFs", "put these PDFs into an Asta index", "index these PDFs using Asta", "build a local paper index", "make these PDFs searchable", or "create an index from these papers".
Define knowledge bundles with Google's Open Knowledge Format (OKF) v0.1. Use when the user mentions OKF, Open Knowledge Format, Google's knowledge format, LLM wiki bundles, agent knowledge packs, creating OKF bundles, validating OKF documents, or converting knowledge into the OKF standard. Do not use this skill for unrelated requests; route to the nearest named specialist.
Specification Generator — Generate project requirements, design documents, and task lists. A skill for generating structured project specifications through interactive dialogue or quick generation. English triggers: - "Create requirements", "Generate requirements doc", "Summarize as requirements" - "Create design document", "Design the architecture", "Generate technical spec" - "Create task list", "Break down into tasks", "Generate tasks.md" - "Create full spec", "Generate all specs", "Create the complete specification" - After discussion: "Turn this into requirements", "Document this as spec" 日本語トリガー: - 「要件定義を作って」「要件をまとめて」「仕様書を作成して」 - 「設計書を作って」「技術設計をして」「アーキテクチャを設計して」 - 「タスクリストを作って」「実装タスクに分解して」「tasks.mdを生成して」 - 「仕様を全部まとめて」「フル仕様を作成」「3点セットを作って」 - 会話で仕様が固まった後に「これを要件定義書にして」
Search, retrieve, inspect, add, or edit Zotero literature via the `zotagent` CLI. Load this skill whenever the user wants to query their Zotero library (keyword / semantic / metadata), pull quotations or context from indexed papers, add items by DOI, web page URL, ISBN / PMID / arXiv identifier, Semantic Scholar paperId, JSON, or manual metadata, change existing items (fix a field, add or remove tags, file into a collection, attach a note, trash an item), inspect recent Zotero items, or diagnose indexed attachments. Use it even on indirect requests — any mention of references, citations, bibliography checks, PDF passages, or literature discovery. Do not guess at zotagent's flags — consult this reference first.
Multimodal AI processing via Google Gemini API (2M tokens context). Capabilities: audio (transcription, 9.5hr max, summarization, music analysis), images (captioning, OCR, object detection, segmentation, visual Q&A), video (scene detection, 6hr max, YouTube URLs, temporal analysis), documents (PDF extraction, tables, forms, charts), image generation (text-to-image, editing). Actions: transcribe, analyze, extract, caption, detect, segment, generate from media. Keywords: Gemini API, audio transcription, image captioning, OCR, object detection, video analysis, PDF extraction, text-to-image, multimodal, speech recognition, visual Q&A, scene detection, YouTube transcription, table extraction, form processing, image generation, Imagen. Use when: transcribing audio/video, analyzing images/screenshots, extracting data from PDFs, processing YouTube videos, generating images from text, implementing multimodal AI features.
This skill should be used when the user asks about "layout design", "editorial design", "grid system", "magazine layout", "book design", "publication design", "page layout", "spread design", "Swiss grid", "modular grid", "column grid", "act as a layout designer", "layout designer mode", "print design", "editorial layout", "page composition", "white space", "bleed and margins", "InDesign layout", "multi-page document", "annual report design", "catalog design", "zine design", or needs expertise in publication design, grid system construction, editorial layouts, and multi-page document architecture. Part of the AlterLab FC Skills collection (VCD department).
Run the author's half of the document review loop without the user relaying each round — wait for the reviewer's <DOC>.revN.notes.md, answer it with <DOC>.rev(N+1).md, and repeat until the reviewer says ready for final, a round cap is hit, or only the user can move it forward. Use after rev1 exists, when the user invokes /answer-notes-loop <feature> [max-rounds] in the session that authored the plan, roadmap, technical or experience document. Its counterpart is review-doc-loop in a fresh session
Audit a full PhD or research-application package for declared-theme fit, coherence, missing evidence, narrative consistency, program fit, recommender risk, and deadline priorities. Use this skill whenever the user asks whether their whole application is ready, how to prioritize fixes before deadlines, whether their CV/SOP/research statement/faculty fit/recommenders align, whether the SOP and letters actually answer the programme's declared theme, specialisation, or track, or what weaknesses an admissions committee may notice across materials. Every audit runs the declared-theme screen first, before any academic- or faculty-fit finding, searching the web for the live official programme page whenever the target is not already known from the conversation.
Enforce the replication-protocol.md rule by cross-checking numeric claims in a manuscript against the actual R / Stata / Python outputs. Report PASS/FAIL per claim against tolerance thresholds. Use before submission and before releasing a replication package.
Clean, deduplicate and validate BibTeX/BibLaTeX bibliographies before submission. Use when a .bib file has duplicate keys or works, missing fields, broken DOIs, lost acronym capitalization (e.g. "bert" instead of "BERT"), inconsistent page dashes, arXiv preprints that now have published versions, or when LaTeX/biber emits bibliography warnings. Includes a zero-dependency linter and normalizer.
Format tender/bidding document covers from Markdown to HTML-styled Markdown. Use when converting Chinese document covers (招标文件/投标文件/报价文件/商务文件/技术文件/技术协议/采购文件) to formatted output with Chinese fonts (黑体/宋体), pt-based spacing, center alignment, and proper layout for A4 printing.
Draft professional legal client alerts and publications that inform clients about significant legal developments. Use when asked to: write a client alert, draft a legal update, create a publication about new legislation/regulations/case law, or prepare a legal briefing for clients. Supports all practice areas including corporate, litigation, regulatory, employment, tax, IP, and more. Output available as Word (.docx) or Markdown (.md).
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis
Contract generation skill that produces complete contracts from the perspective of a senior legal expert. Use cases: (1) the user asks to "draft a contract", "generate a contract", "draft an agreement", "write a contract", or "draft up a contract"; (2) the user provides the contract type and transaction information and asks for complete contract text; (3) the user asks to draft a one-sided contract from a specific standpoint (Party A / Party B / buyer / seller / lessor / lessee); (4) the user asks to turn existing contract points or business terms into formal contract text. Output is in Markdown, with optional export to .docx.
Parse a local or remote FILE (PDF) into markdown or structured JSON with fastCRW. Use when the source is a file on disk — "parse this PDF", "extract text from this document", "read this report", "convert PDF to markdown". Routing rule: URL → use crw-scrape; file on disk → use crw-parse. Step 5 of the crw workflow ladder.
Create Behavior-Driven Development (BDD) scenarios - Layer 4 of the SDD flow, translating EARS requirements into executable Given-When-Then acceptance scenarios with req-to-SPEC trace links. Use after EARS, before ADR. Single-document authoring primitive; for end-to-end or batch generation the autopilot (`doc-bdd-autopilot`) drives this skill.
Generate draw.io network diagrams — native .drawio files with CLI export (PNG/SVG/PDF), plus browser-based Mermaid/XML/CSV via MCP server. Use when creating network topology diagrams, generating architecture visuals, exporting diagrams to PNG or PDF, or building draw.io files from discovery data.
Extracts atomic sentences from academic papers — identify every cited paper, compress each citation into a single logical claim, group them by sub-topic, and summarize each group. Use this skill whenever the user pastes academic text or uploads a PDF and wants to extract what cited papers actually claimed, map the literature, build a citation map, extract key arguments from a paper, atomize citations, or asks things like "what does each paper say?", "extract the key claims", "give me an atomic breakdown of this paper", "pull out all the references and their arguments", "summarize the citations by topic", or "elaborate on [Author Year]". Also trigger when the user is preparing a literature review, working in Obsidian/Zotero/Notion and needs structured citation blocks, or uploads a PDF with a request to extract referenced claims. This skill is essential any time someone is working with dense academic text and needs to see what all the cited sources actually argued.
Email invoice processor. Filter invoice emails from a mailbox by date range, download PDF/image attachments (including downloads via links), extract invoice fields, and generate an Excel summary with one sheet per buyer. Use this skill when the user needs to process invoices, organize invoices, or extract invoices from email.
Turn a signed-off plan, roadmap, technical or experience revision into docs/<feature>/<DOC>.final.md — the approved document plus the collapsed history of questions, answers and decisions across every rev and its review notes — and then delete the revs and notes. Use when the user signs off a rev after review-doc or a direct review, or invokes /finalize-doc <feature>, or asks to "write the final", "finalize the plan", "collapse the revs". Works for any stem (PLAN, ROADMAP, TECHNICAL, EXPERIENCE, …) and its companion documents. Never changes what was approved; never finalizes without sign-off
Blue Professional — Cream paper background with electric cobalt blue accents; clean modern professional. Anything that should feel modern-considered and lightly authoritative: B2B SaaS pitches, consulting deliverables, advisory updates, investor reports.
Playful — Sun-warm peach background with Syne display: a friendly indie launch deck. Anything that should feel warm, indie, and approachable: creator portfolios, indie product launches, lifestyle brands, small-business pitches, newsletter / community decks.
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
Use when the user explicitly requests "LaTeX template optimization", "style parameter alignment", "pixel-level comparison", "make-latex-model", or the older form "make_latex_model", or wants to turn a project in ChineseResearchLaTeX into a high-quality template. Fits the four product lines NSFC / paper / thesis / cv; first decide whether to change the project layer or the shared packages based on the real layering of packages/ and projects/, then validate via each product line's official build entry point. If shared packages under packages/ must be modified, first produce a regression plan for the affected templates and complete the relevant regression; use the NSFC-specific tooling only when the scenario clearly involves NSFC parameter alignment.
Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and abandonment risks. Use when auditing a book, guide, manual, course-like draft, or technical manuscript for value density, reader experience, or beta-feedback engagement patterns.
Convert Markdown documents into professional PDF white papers with an Apple design style. Supports full Markdown syntax (code blocks, tables, quotes, lists, etc.). Automatically generates a cover, table of contents, headers, and footers. Use for technical documents, white papers, tutorials, reports, and other Markdown documents that need professional typesetting
Convert local documents to Markdown using Microsoft's markitdown CLI. Best for: PDF, Word, Excel, PowerPoint, images (OCR), audio. Can fetch URLs but Jina is faster for web. Triggers on: convert to markdown, read PDF, parse document, extract text from, docx, xlsx, pptx, OCR image, local file.
Expert guide for the NotebookLM CLI (`nlm`) - a command-line interface for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of \"nlm\", \"notebooklm\", \"notebook lm\", \"podcast generation\", \"audio overview\", or any NotebookLM-related automation task.
Conduct reviewer-style, evidence-safe reviews of academic manuscripts across disciplines using progressive method, domain, review-round, and optional reviewer overlays. Use when the user asks for a critique, scientific review, priority comments, top-to-bottom review, revision-round assessment, prior-comment regression check, or review memo rather than ordinary drafting. Infer the smallest applicable module set from the conversation and manuscript; ask only when unresolved domain or review-profile ambiguity would materially change the review. Includes optional psychometrics and SEM, computational and LLM, water and CNHS, flood and hydrodynamics, and explicit Ethan-style modules.
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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.