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Convert office documents, spreadsheets, presentations, ebooks, and PDFs into Markdown text that an agent can read. Save large conversions to a file and use hosted text recognition for scanned PDF pages when needed.
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Keep project documentation aligned with recent code changes. Review commits since the last checkpoint, update affected guides and README files, and open a pull request for human review only when documentation needs correcting.
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Draft contracts, legal memos, court documents, and policies in Word format. Build each section with checks for defined terms, references, and citations, using CourtListener and eCFR research tools when case law or regulations are needed.
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Read PDFs, Office files, web documents, and large text files to answer questions, summarize content, compare sources, or extract tables and key points. Use OCR, text recognition from images, when vision tools cannot read document text.
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Review recent Git commits to find changes that affect users, then update the relevant documentation pages. Identify missing pages, explain changed behavior or migration steps, and validate the resulting documentation with the project's build tools.
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Update documentation to match source changes on the current branch. Map changed files to existing pages, verify behavior against the code, revise affected references and examples, and report missing documentation using repository-specific mapping rules.
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Guides building AI applications that search documents before answering questions, an approach called RAG. Covers importing files and web data, creating searchable indexes, adding conversational interfaces, and evaluating whether answers match the retrieved material.
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Design and implement RAG systems, which retrieve documents to inform AI answers. Get document preparation strategies, vector database comparisons, combined keyword and meaning-based search, result reranking, and an evaluation plan for retrieval quality.
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Create reference documentation directly from source code for public functions, classes, command-line commands, and endpoints. Organize parameters, defaults, return values, errors, and runnable examples, then check that the documentation matches the implementation.
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Add documents, interview notes, or observations to an open investigation. Process batches against documented selection criteria, surface significant items, and log everything reviewed so the team can verify coverage and update its source checklist.
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Create and review technical documentation alongside repository instructions for agents and contributors. The skill checks clarity, working procedures, documentation coverage, and consistency across languages, then provides updated drafts or findings with validation notes.
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Compare implementation code with a specification, whitepaper, or design document. It checks individual requirements, independently challenges reported mismatches, and writes evidence-based reports covering missing or partial implementation, contradictions, undocumented behavior, and requirements that cannot be judged.
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Create and edit Google Docs while preserving requested structure, formatting, tabs, and tables. Adapt templates using current source information, update links and smart chips, and check that the finished document covers the requested content.
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Write and edit READMEs, guides, and other documentation using the code as evidence. Improve structure, wording, and terminology while checking related pages and links against the project's contribution process and documentation style guide.
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Create, edit, and troubleshoot Typst documents, a system for producing formatted documents from text files. Uses bundled documentation to check syntax and styling, with formatting checks and compilation when the required tools are available.
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Continue an existing OpenSpec change by creating one next document. Check progress and dependencies, follow the workflow's template, and report what was completed and which documents are now available to create.
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Co-write proposals, technical specifications, and decision documents through context gathering, section-by-section drafting, and revision. A fresh AI reader then tests the document to reveal unclear explanations, missing context, and contradictions before it is shared.
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Co-write proposals, technical specifications, and decision documents through context gathering, section-by-section drafting, and revision. A fresh AI reader then tests the document to reveal unclear explanations, missing context, and contradictions before it is shared.
中文简介正在准备中。当前显示英语简介。
Convert documents, images, audio, web pages, and structured data into Markdown for AI analysis. Preserve headings, lists, tables, and links, extract text through OCR or transcription, and process multiple files or ZIP archives together.
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Look up OpenAI API and platform details in official documentation through the documentation MCP server. Retrieve relevant pages, endpoint definitions, and parameters so integration guidance and factual claims are grounded in the fetched source text.
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Write and edit Remotion documentation pages with consistent API explanations, clear headings, and TypeScript-checked code examples. Follow the project workflow to add navigation entries, generate social preview cards, and verify that documentation builds successfully.
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Create reports, guides, and project documents in Markdown with Mermaid, a text-based diagram format. Use document templates and style guides to explain workflows, relationships, and timelines while keeping text and diagrams editable and suitable for version control.
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Route document tasks to specialized skills for PDFs, Word files, spreadsheets, slides, or posters. Clarify the required format, sequence multiple outputs, preserve supplied templates, and report file locations with practical checks for reviewing the results.
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Create and maintain project reference documents from the codebase, covering product purpose, technology choices, and organization patterns. Detect differences between documentation and code while preserving user additions during updates.
中文简介正在准备中。当前显示英语简介。