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Found 152 Skills
Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical format.
Optimizes markdown documents for token efficiency, clarity, and LLM consumption. Use when (1) a markdown file needs streamlining for use as LLM context, (2) reducing token count in documentation without losing meaning, (3) converting verbose docs into concise reference material, (4) improving structure and scannability of markdown files, or (5) preparing best-practices or knowledge docs for agent consumption.
Workspace guide to introduce OpenWork and onboard new users.
Extract valuable legal question-answer pairs from lawyer-client communication records and generate structured knowledge base content. This skill should be used when users need to organize client consultation records, extract reusable legal knowledge from conversations, create Q&A knowledge bases, or prepare content marketing materials. Strict client information desensitization is supported.
Reads images of withholding tax slips and returns structured data. It can be called by other skills or directly by users.
Summarize long documents with key points and abstracts. Use when creating executive summaries or condensing content.
Generates the Somnio HandShake Step 3 - Acknowledgement PDF document from raw evaluation notes. Use this skill whenever an Engineering Manager (EM) wants to create, generate, or produce one or more HandShake Acknowledgement documents, career review PDFs, seniority evaluation documents, or anything related to the Somnio bi-annual performance review process. Trigger even if the user says things like: generar el documento del handshake, armar el PDF de la evaluacion, crear el acknowledgement para un dev, generar el informe del career path, procesar estas fichas, or similar. The skill handles both single and batch (multiple devs) generation: it reads all attached ficha files, pre-fills what it can infer, confirms all data with the EM in a single table, then generates one PDF per dev.
HTML 2 PDF integration. Manage Documents, Templates. Use when the user wants to interact with HTML 2 PDF data.
Parse PDF into Markdown/JSON/DOCX using MinerU API. Extract text, tables, formulas with OCR support. Use when converting PDF documents, extracting content from scanned papers, or batch processing PDF files.
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, 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.
Facilitate methodical review of proposals (technical designs, product specs, feature requests). Use when asked to "review this proposal", "give feedback on this doc", "help me review this RFC", or when presented with a document that needs structured feedback. Handles markdown files, GitHub gists/issues/PRs, and other text formats. Chunks proposals intelligently, predicts reviewer reactions, and produces feedback adapted to the proposal's format.
Build or rebuild the ADR index and dependency graph in AgentDB