Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
End-to-end writing support for undergraduate and master's theses. Supports outline review (science/engineering and humanities), structural imitation (general, experimental, introduction, and abstract; humanities also includes literature reviews, case analyses, recommendations, and humanities introductions and abstracts), reference retrieval and integration, polishing (including experimental and humanities chapters), shortening, expansion, AIGC detection avoidance, Chinese-English translation, and structured information extraction. Use when users mention thesis writing, outline review, imitating thesis chapters, references, thesis polishing, AIGC detection avoidance, thesis translation, humanities theses, literature reviews, or recommendations.
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc). Use when the user asks to find papers, search for research, look up academic literature, download a paper PDF, or extract text from a paper.
Create new genre documentation files for the bitwize-music genre library. Use when the user wants to add a genre, says “/genre-creator”, “neues Genre erstellen”, “Genre hinzufuegen”, “add genre”, or asks to create genre documentation. Takes a genre name as an argument.
Final pass before shipping a deck. Ensures speaker notes, metadata, sources, disclaimer, and consistent formatting are all in place. Use when the user says "polish the deck", "add speaker notes", "finalize the presentation", "make it ready to send", "check sources and footnotes", or the deck is content-complete but needs a finishing pass.
This skill should be used when the user asks to "translate", "翻译", "精翻", "translate article", "translate to Chinese", "translate to English", "改成中文", "改成英文", "convert to Chinese", "localize", "本地化", "refined translation", "精细翻译", "proofread translation", "快速翻译", "快翻", "这篇文章翻译一下", or provides a URL/file with translation intent. Supports three modes (quick/normal/refined) with custom glossary support.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
Expert in Confluence operations using Atlassian MCP. Use when the user says "search Confluence", "create a Confluence page", "update a page", "find documentation in Confluence", "list spaces", or "add a comment to a page". Do NOT use for Jira issues, general web search, or local file creation.
Use when the user wants to extract project vision, decisions, and preferences from their head into clear documentation (README + ADRs) through a back-and-forth Q&A loop. Triggers on "brain-to-docs", "build out the docs", "extract the vision", "let's document this project".
Investor pitch deck structure with a slide-by-slide framework, visual design rules, and data presentation. Covers the 12-slide framework, chart types, team slides, and common investor turn-offs. Use for: fundraising decks, investor presentations, startup pitches, demo days, grant proposals. Triggers: pitch deck, investor deck, startup pitch, fundraising deck, demo day, pitch presentation, investor presentation, seed deck, series a deck, pitch slides, startup presentation, vc pitch, investor meeting
Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument APIs, custom/classification/template models, batch analysis, containers, or v4.0 migration, and other Azure AI Document Intelligence related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI Custom Vision (use azure-custom-vision), Azure AI Search (use azure-cognitive-search), Azure AI Video Indexer (use azure-video-indexer).
Create complete documentation sites for projects. Use when asked to: "create docs", "add documentation", "setup docs site", "generate docs", "document my project", "write docs", "initialize documentation", "add a docs folder", "create a docs website". Generates Docus-based sites with search, dark mode, MCP server, and llms.txt integration.
Manage DocuSeal e-signature workflows from the terminal via the DocuSeal CLI - create templates from PDF/DOCX/HTML, send documents for signing, track submissions, and update submitters. Use when the user wants to run DocuSeal commands in the shell, scripts, or CI/CD pipelines. Always load this skill before running `docuseal` commands.
Extract text from images and PDFs using Mistral OCR API. Convert scanned documents to Markdown, JSON, or plain text. No external dependencies required. Use when you need OCR, extract text from images, convert PDFs to markdown, or digitize documents.
Generate leftover PlantUML types Mermaid cannot do easily (Salt wireframes, use case, timing, ArchiMate, nwdiag, WBS) and convert them to PNG/SVG. Use when asked for a wireframe, PlantUML image export, extract puml from markdown, or prepare Confluence uploads. Class, ER, state, sequence, and C4 default to design-doc-mermaid on GitHub wiki.
Retrieve translated patent specification (description) text from the Eureka patent data platform. Trigger this skill when the user requests a patent specification translation, the full patent text in another language, a translated full patent text, or wants to view a patent specification in Chinese, English, or Japanese; mentions Eureka patent specifications, patent specification translation, patent description translation, Eureka patent, or patent translation; or provides a patent ID or publication number and requests the specification or description in another language. Also trigger it for similar requests such as “translate patent specification,” “translate description,” or “translate full text.”
Converts documents into clean, chunked datasets suitable for embeddings and vector search. Produces chunked JSONL files with metadata, deduplication logic, and quality checks. Use when preparing “training data,” “vector datasets,” “document processing,” or “embedding data.”
A skill for building polished resumes through conversational interviews. Use when the user mentions “简历”, “resume”, “CV”, job hunting, looking for work, interviews, making or generating a resume, or wants to create a webpage showcasing their experience and skills. Supports HTML resume generation, A4 print layouts, and PDF export. Guides users through refining their resume step by step, covering everything from personal information to project experience.
Writes and reviews native-quality Vietnamese (vi-VN) engineering and product documentation — commit messages, PR descriptions, code review, RFCs, design docs, postmortems, runbooks, READMEs, API docs, UI and error microcopy, i18n resource files, PRDs, user stories, release notes, changelog entries, in-app notifications, help-centre articles, surveys and research guides, and app-store listings. Use when drafting or reviewing Vietnamese technical or product content, deciding which English terms stay English, choosing the impersonal register over bạn, or handling vi-VN i18n hazards like string expansion, ICU plurals, collation, and NFC. Fixes the machine-translation tells Vietnamese engineers notice immediately.
Use when the user wants to prepare a due diligence data room for fundraising, or when an investor has requested additional materials after a pitch. Also activates for "data room", "due diligence", "DD checklist", or "what documents do investors need?".
Retrieve patent abstract images through the Eureka patent data platform. Trigger this skill when the user mentions patent abstract images, patent drawings, patent illustrations, patent image searches, Eureka abstract images, patent figure lookups, Eureka, or related terms. Also trigger it when the user needs to view drawings or illustrations in a patent document, even if they do not explicitly say “abstract image”.
Expert product specification and documentation writer. Use when creating PRDs, user stories, acceptance criteria, technical specifications, API documentation, edge case analysis, design handoff docs, feature flag plans, or success metrics. Covers the full spectrum from high-level requirements to implementation-ready specifications.
Obtain translated versions of patent titles and abstracts through the Eureka patent data platform. This skill is triggered when users request patent abstract translation, patent title translation, translated patent abstracts, patent content in other languages, patent abstracts in Chinese/English/Japanese, or need to look up the abstract or title of a specific patent by patent ID or publication number, including Eureka patent abstracts, patent abstract translation, patent title translation, Eureka patent, patent translation, and abstract lookup. It should also be triggered when users mention Eureka or patent abstract lookup, even if they do not explicitly say “translate.”
Obtain translated patent claims through the Eureka patent data platform. This skill is triggered when users ask about patent claims, claim translation, viewing claims in a specific language (Chinese, English, or Japanese), querying patent rights by patent ID or publication number, analyzing claim text, Eureka claims, claim translation, patent claim translation, Eureka patent, or patent translation. Even if the user does not explicitly mention “translating patent claims,” trigger this skill whenever their request involves obtaining patent claim content in a specific language.
Use when generating consulting-grade slide decks, MBB-style presentations, McKinsey/Bain/BCG-format slides, board prereads, executive readouts, recommendation decks, market entry decks, due diligence decks, or any business presentation that requires action-title storylines, pyramid-principle structure, MECE bullets, and a clean editorial visual system rendered to a real .pptx file.
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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.
