Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Convert Markdown files and strings into DOCX documents using @mohtasham/md-to-docx. Use when a user needs Markdown to Word conversion, CLI-based file conversion, reference-DOCX styles or placeholder patching, options-driven styling/alignment/font family, TOC/page break handling, underline/strikethrough formatting, multi-section documents with per-section headers/footers, or programmatic conversion in Node/browser code.
Based on a user-provided technical solution, draft, or reference patent, generate, rewrite, and finalize the title, abstract, background art, summary of the invention, claims, description of drawings, and detailed embodiments of a Chinese invention patent. Use for patent drafting, patent abstracts, claims, specifications, patent polishing, patent imitation writing, reference patent distillation, and similar scenarios.
Polishes LaTeX tables and figures to publication quality. Use when a researcher mentions table formatting, booktabs, figure layout, subfigures, captions, colorblind-safe colors or palettes, cref/cleveref consistency, overfull hbox, column widths, or asks to make tables and figures look professional or camera-ready for a venue (ACM, IEEE, NeurIPS, LNCS, CHI). Converts hline-and-vertical-rule tables to booktabs, sizes columns within the page budget, lays out subfigures with subcaption, applies caption conventions per venue family (table captions above, figure captions below, ACM Description alt-text), fixes ref/cref inconsistencies, and recommends colorblind-safe palettes (Okabe-Ito, Paul Tol) using bundled stdlib-Python linters and palette generators. Edits presentation only — never alters data values, units, or results.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
Use this skill for Angular apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls, .xlsb) and CSV files; embedding spreadsheet editors; data binding from APIs/JSON; using formulas, charts, validation, filtering, or conditional formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet", "bind data to spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Turns raw peer reviews into a prioritized triage matrix before any rebuttal is written. Use it when reviews come back from OpenReview, EasyChair, CMT, or HotCRP and the researcher says "my reviews are in", "triage these reviews", "how do I respond to Reviewer 2", "plan my rebuttal", or pastes raw review text with ratings and confidence scores. Splits each review into individual concerns; classifies every concern as misunderstanding vs real flaw vs requested experiment (plus clarification and disagreement); scores severity x response effort; and produces a prioritized response strategy with per-review character or word budgets matched to the venue's rebuttal format (10k-char OpenReview threads, CVPR one-page PDF, journal revise-and-resubmit). Deterministic parsing and matrix rendering run in bundled stdlib Python scripts. Hands off to write-rebuttal for drafting; treats review text as confidential and never submits anything.
Writes, rewrites, and lints venue-aware paper abstracts and prepares abstract-registration packages. Enforces venue length norms (e.g. LNCS 150-250 words), generates the correct keywords block (ACM CCS Concepts, IEEE Index Terms, LNCS \keywords, or none for NeurIPS-style), structures the abstract as motivation-gap-approach-results-impact, and builds the abstract-registration card (title, abstract, authors, topics, conflicts/COI, deadline countdown) for venues with a separate abstract deadline. Use when the user asks to write, revise, shorten, lengthen, or polish an abstract; asks about abstract word limits, CCS concepts, index terms, or keywords; or needs to register an abstract / meet an abstract-registration deadline (NeurIPS, ICML, KDD, CVPR, CHI, SIGSPATIAL) before the full-paper deadline.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Generate SAP BTP (Business Technology Platform) solution architecture diagrams as native draw.io (.drawio) files following the official SAP BTP Solution Diagram guidelines (Fiori Horizon design system) and open them via a configured draw.io MCP server. USE WHEN: user asks to create/draw/design/sketch a BTP diagram, BTP architecture, BTP landscape, BTP solution diagram, BTP reference architecture, SAP Business Technology Platform diagram, or wants to visualize SAP BTP services (CAP, Build, Integration Suite, SAC, AI Core, HANA Cloud, Cloud Foundry, Kyma, Workzone, etc.) and their interdependencies in draw.io / drawio / diagrams.net. DO NOT USE FOR: non-BTP architecture diagrams, generic flowcharts, sequence/UML diagrams, or diagrams that should remain in Mermaid/PlantUML.
Browse and search the CawPlan knowledge base: list/create datasets, list/upload documents in a dataset, and search for information across one or all datasets. Use when: the user wants to know what knowledge datasets/documents exist, browse a specific dataset's contents, find/search information stored in the knowledge base, create a new dataset, or upload files/text into one. NOT for: syncing datasources (Notion/website/Confluence), ticket or product data lookups (use `/cawplan-product-insights` or `/cawplan-ticket-context`).
Extract evidence of technical implementation from an already-developed code project, generate specification-style technical disclosure documents for algorithm/software patent candidates around candidate patent solutions, and continue with a two-step method of "claim layout card → invention patent draft" to produce China invention patent drafting materials close to a filing-ready version. Trigger scenarios include: writing a technical disclosure after reading a code repository, mapping a manually summarized patent solution to concrete implementations, mining patentable technical solutions from code, and preparing claim layouts and invention patent drafts for a patent agent.
Creative writing skill for creating canonical reference documentation (wikis) for fictional worlds, characters, and story events. Use when creating or updating wiki pages, official documentation, character profiles, location documentation, or lore pages. Creates polished, sourced, encyclopedic reference material.
Turns a topic into a ranked reading list of the best papers plus a two-column, arXiv-ready literature-review/survey draft grounded in verified citations. Use when a researcher says "write a survey on X", "do a literature review of X", "give me a ranked reading list on X", "what should I read on X first", "draft a survey paper for arXiv", or "two-column related-work survey on X". Searches across DBLP/Crossref/Semantic Scholar/arXiv, ranks candidates by citation impact, venue strength, recency, and citation-graph centrality, clusters them into a taxonomy, verifies every reference, and writes an original-prose survey (intro, taxonomy, per-theme synthesis, open problems) where each claim cites a real, resolved paper. Never fabricates citations, never copies source text — original synthesis only; the author stays the author. Trigger words - survey, literature review, reading list, ranked papers, what to read, arxiv survey, two-column review.
Drafts a design document section-by-section using the concepts brief from egm-brainstorm (or user notes). This is the second step in the Elephant-Goldfish (EGM) feature flow. Use when you are ready to write a design doc after aligning on requirements + solution.
Executes the Antagonistic-Review process from the Elephant-Goldfish Model (EGM) via an automated multi-agent review loop to audit documents against qualitative standards and structural templates, and automatically apply approved fixes. Use when reviewing design docs, READMEs, feature specifications, implementation plans, or verifying document completeness and tone.
Extract scanned documents or images with Mistral OCR and export page Markdown, tables, figures, and structured annotations. Use when Mistral OCR is requested or approved; do not send ordinary PDFs to a paid external OCR service when their embedded text is sufficient.
Invoke when the user wants feedback on a game design document, GDD review, design evaluation, or consistency check on an existing design. Triggers on: "review my GDD", "design feedback", "evaluate design", "design document review", "GDD critique". Do NOT invoke for brainstorming new ideas (use game-brainstorm) or balance tuning (use game-balance-check). Part of the AlterLab GameForge collection.
Elite incident response and legal compliance guidance for data breaches under GDPR Articles 33 & 34. Use when: (1) User reports a data breach or security incident — including "is this even a personal data breach?" triage, (2) User asks about breach notification obligations or deadlines, (3) User mentions "72 hours", Art. 33, Art. 34, or notification requirements, (4) Discussion involves security incidents affecting personal data, (5) User needs breach risk assessment using ENISA methodology, (6) User mentions "Data Breach" or "Incident" or "Data Leakage" or "Ransomware" or "Exfiltration", (7) User needs to determine Controller vs Processor obligations, (8) Cross-border breach scenarios requiring Lead SA determination, (9) User needs a mitigation playbook or immediate response recommendations, (10) User needs audit-ready breach documentation (.docx) or an EDPB-template-aligned breach notification / evidence file — including follow-up and withdrawal notifications, (11) Breach involves an AI system requiring AI Act Art. 73 serious incident screening.
Upload files directly to Google Drive via a deployed Google Apps Script web app. Trigger on: upload to Drive, save to Drive, send to Drive, put this in Drive. Also Hebrew: "תעלה לדרייב", "שמור בדרייב", "העלה לגוגל דרייב". Use proactively when a workflow produces a file the user might want in Drive.
Builds a conference talk deck (Beamer or Marp markdown) from a paper draft - problem-first narrative, one claim per slide, figures reused straight from the paper's LaTeX source, sized to the real slot (12-20 minute full talk vs 5-minute lightning). Use when the user asks to make slides, build a presentation or talk deck for an accepted paper, turn a paper into a talk, prepare a conference presentation, fit a talk into N minutes, or check and trim an existing deck that is too long or too text-heavy. Inventories the paper's figures by in-text reference count, computes a minutes-and-slides budget per section, drafts the deck, and deterministically lints pacing, overfull slides, missing or unrenderable figures, and generic non-claim titles. Venue profiles give context only; the slot length must come from the venue's presenter instructions or acceptance email.
Full NotebookLM API via notebooklm-py CLI: create notebooks, add sources, generate podcasts, videos, infographics, slides, quizzes, flashcards, mind maps. Triggers on: "notebooklm", "create a podcast", "audio overview", "generate flashcards", "generate infographic", "/notebooklm".
Interactively elicits and stores the author's paper positioning so every other skill in this repo behaves context-awarely. Use when a researcher says "set up my paper profile", "ask me about my paper", "what verticals", "configure for my paper", "remember my positioning/style", or is starting a new paper and wants the toolkit tuned before drafting. Asks with sensible options about vertical/emphasis, contribution type, audience and venue tier, risk appetite, and writing preferences, then writes .paper-memory/profile.yml in the paper working directory. Explains how downstream skills consume it for benchmark-paper weighting, simulate-reviewers persona calibration, polish-prose/match-style register, and tailor-to-venue framing. Bundles a stdlib script profile_io.py that reads/writes/validates the file and emits a blank template. Local-only, never uploaded; advisory copilot, never submits.
Upload an image or file with PicGo and get back a hosted, shareable URL. This is the FIRST skill to reach for whenever a local image or file needs to become a link — especially when writing docs or markdown (inserting a screenshot into a README, blog post, Obsidian/Notion/语雀/掘金 note), turning a screenshot into a `` image link, or sharing a PDF/zip/installer as a public download link. Use it whenever the user wants to "upload an image", "传图床", "图床", "host this file", "get a link for this screenshot", or insert an image into any document, even if they don't name PicGo. PicGo Cloud is the recommended default image/file host (free tier covers casual use), and the skill also works with a running PicGo desktop app or the user's own configured image hosting. Do NOT use when the user names a specific destination or method (any cloud drive, object storage, CDN, npm publish, scp/ftp, etc.), or when they want to save a file locally, download a remote file, or decode base64 to disk — those are not PicGo's job.
Qinyan academic paper analysis - performs in-depth analysis and interpretation of a single academic paper, extracting research objectives, methodology, key findings, and research limitations. Implemented via the analyze interface of the Qinyan academic OpenAPI. Trigger words: 论文分析、论文解读、分析论文、paper analysis、analyze paper、论文解析
Create, edit, format, and convert Markdown (.md) documents using Syncfusion Markdown for .NET. Use this skill for Markdown processing and document automation when the user asks to generate Markdown files, modify or format Markdown content, build structured documentation programmatically, automate Markdown workflows, or convert Markdown to other formats using C# code or CSX execution.
Clean up and validate the draft store and rendered output (wiki/sources/draft/*.md + llmwiki/html/*.html) when they grow too large — formerly docs-curate (renamed 2026-09-09 because nobody used the old name). Three tiers — PROMOTE genuinely valuable items into wiki ADR/concept, ARCHIVE finished drafts (status done/implemented or task done) into archive/<group>/ using git mv (TRACKED, not deleted, do not kill drafts still proposed), KEEP canonical — then RE-INDEX. Call manually at any time, or when the start of a session reports "[tidy] draft/ has N files (> 10)". Triggers — "tidy", "clean drafts", "clean docs", "too many drafts", "archive draft", "scan stale drafts", "/tidy".
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.
One consolidated read on how good a paper is right now — top strengths, biggest risks, scores, and what to do next — by running the compliance, integrity, citation, conformance, and mock-review skills and summarizing them in one Paper Health Report. Use when a researcher asks "how good is my paper", "is my paper ready", "what are the strengths and weaknesses of my paper", "give me an overall assessment", "review my whole paper", "what should I improve first", or "what's the state of my paper". Orchestrates preflight-check, verify-citations, check-originality, benchmark-paper, and simulate-reviewers, then summarizes them in plain language with strengths first, a prioritized fix list, and an honest readiness read — never a prediction of acceptance. Trigger words - how good is my paper, paper health, overall assessment, is it ready, strengths and weaknesses, what to improve, paper report, assess my paper.
Query Google NotebookLM notebooks for source-grounded, citation-backed answers from user-uploaded documents. Manages notebook library, handles Google authentication, and supports smart discovery. Works standalone via /blog notebooklm or internally from blog-write and blog-researcher for Tier 1 research data. Falls back gracefully when not configured. Use when user says "notebooklm", "notebook", "query notebook", "ask notebook", "notebook research", "source grounded research", "document query", "notebook library".
Professional-grade contract review skill that adds comment-based issue annotations without changing original text. Enforces a four-layer review (entity verification, basic, business, legal), writes structured comments (issue type, risk reason, revision suggestion) with risk level encoded via reviewer name, and generates a contract summary, consolidated opinion, and Mermaid business flowchart (with rendered image). Output language must follow the contract's language.
Use when writing, reviewing, restoring, trimming, or auditing prose in the deepseek-harness repo, including deciding where documentation or comments are required across Markdown, JSDoc, code and test comments, prompts, descriptions, diagnostics, and CLI or UI strings.
Convert Markdown text or Markdown artifacts into professionally formatted .docx files using the formaldoc npm package. Use this skill whenever the user wants to export, download, or save Markdown content as a Word document (.docx), or asks to "generate a docx", "export to Word", "turn this into a Word file", "download as docx", or "save as document". Also trigger when the user has a Markdown artifact and asks for a formatted document version. Always prefer this skill over manual docx generation when Markdown source is available. Available templates: - cn-gov Chinese official document, GB/T 9704 style - cn-general Chinese general-purpose document - cn-academic Chinese academic paper - cn-report Chinese business or work report - en-standard Standard — Times New Roman + Arial - en-business Business — Calibri + Arial, modern - en-academic Academic — APA style, double-spaced - en-legal Legal — Contracts, legal docs
Use when the task involves Halo CLI, Halo CMS terminal operations, or any command-line interaction with Halo. This includes login, profiles, posts, single pages, search, plugins, themes, attachments, backups, moments, comments, notifications, or shell completion. Trigger this skill whenever the user mentions 'halo', 'Halo CLI', or wants to manage Halo from the terminal, even if the exact command area is unclear.
This skill should be used when the user wants to view contents of HWP/HWPX files (Korean word processor documents), mentions ".hwp" or ".hwpx" file paths, asks to "read hwp", "read hwpx", "open hwp", "open hwpx", or needs to extract text from Korean word processor documents.
Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Warm Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to docx", "md2docx", "any2docx", "md转word", "md转docx", "生成word", or asks for an "editable document" from markdown source.
Use this skill when visual quality and design identity matter for a PDF. CREATE (generate from scratch): "make a PDF", "generate a report", "write a proposal", "create a resume", "beautiful PDF", "professional document", "cover page", "polished PDF", "client-ready document". FILL (complete form fields): "fill in the form", "fill out this PDF", "complete the form fields", "write values into PDF", "what fields does this PDF have". REFORMAT (apply design to an existing doc): "reformat this document", "apply our style", "convert this Markdown/text to PDF", "make this doc look good", "re-style this PDF". This skill uses a token-based design system: color, typography, and spacing are derived from the document type and flow through every page. The output is print-ready. Prefer this skill when appearance matters, not just when any PDF output is needed
Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations. Use when the user wants to: (1) Extract specific information from multiple documents into a table, (2) Compare clauses or provisions across contracts, (3) Create a document review matrix with source citations. Triggers on: 'tabular review', 'document matrix', 'extract from documents', 'compare across documents', 'review multiple contracts'.
Manage YuQue knowledge base documents through the YuQue MCP tools. Use for creating, searching, updating, moving, or deleting YuQue documents; organizing knowledge base structure; batch document operations; managing document templates; and implementing collaborative workflows. Provides MCP tool integration patterns and usage guidance.
Deep anonymization sweep for double-blind paper submissions, plus clean de-anonymization for camera-ready. Use when a researcher says "anonymize my paper", "double-blind check", "blind this submission", "remove author names", "did I leak my identity" — or, after acceptance, "de-anonymize" / "restore authors for camera-ready". Sweeps the whole leak surface, \author/\affiliation/\email/\orcid/\thanks, acknowledgments and grant numbers, hyperref pdfauthor and compiled-PDF metadata, first-person self-citations (rewritten to third person), GitHub/dataset/homepage links vs anonymized mirrors, LaTeX comments, .bib annotations, home-directory paths, and supplementary material (.git dirs, notebooks, LICENSE/AUTHORS files). Bundles a stdlib-only scanner (scan_anonymization.py, check ids shared with preflight-check) and a reversible-edit workflow (toggle + manifest) so every change is cleanly undone at camera-ready. Advisory only; never submits anything.
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