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Found 645 Skills
Reads Excel (.xlsx) files and converts to Markdown format. Handles multiple sheets and large tables. Use when needing to read Excel spreadsheets. Requires openpyxl package.
Create structured documents from conversations, summaries, or content in open formats (markdown, PDF, text). Use when the user requests document creation, report generation, content export, conversation summaries, or structured documentation. Triggers include "create a document", "make a report", "summarize this conversation", "export to PDF/markdown", or any request to formalize content into a document. Works independently or integrates with design-assistant skill for polished visual output.
Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.
Convert single-file task backlogs (TASKS.md format) to AutoClaude multi-file spec structure. Use when the user wants to (1) convert existing TASKS.md or similar task backlog files to AutoClaude specs, (2) initialize a new project with AutoClaude-compatible task structure, (3) migrate task definitions from simple markdown to the multi-file spec format with requirements.json, context.json, implementation_plan.json. Triggers on phrases like "convert tasks to AutoClaude", "set up AutoClaude specs", "migrate backlog", "create spec from task".
Use local FunASR service to transcribe audio or video files into timestamped Markdown files, supporting common formats such as mp4, mov, mp3, wav, m4a, etc. This skill should be used when users need speech-to-text conversion, meeting minutes, video subtitles, or podcast transcription.
Research a codebase and create architectural documentation describing how features or systems work. Use when the user asks to: (1) Document how a feature works, (2) Create an architecture overview, (3) Explain code structure for onboarding or knowledge transfer, (4) Research and describe a system's design. Produces markdown documents with Mermaid diagrams and stable code references suitable for humans and AI agents.
Modao prototype capture tool. Automatically capture all pages, screenshots and comments from Modao prototype links, and generate Markdown documents. Use cases include: (1) Capture prototype pages (2) Generate page screenshots (3) Extract comment content (4) Export Markdown documents
Universal document conversion using Pandoc with focus on DOCX format. Use when converting documents to or from DOCX format, including Markdown, HTML, PDF, and other formats. Supports: (1) Converting other formats to DOCX (Markdown, HTML, reStructuredText, etc.), (2) Converting DOCX to other formats, (3) Custom DOCX templates and styling, (4) Batch document processing
Scrape documentation websites into local markdown files for AI context. Takes a base URL and crawls the documentation, storing results in ./docs (or custom path). Uses crawl4ai with BFS deep crawling.
Convert USDM/EARS requirements documents from Markdown to professionally formatted Word (.docx) files for client submission. Generates cover pages, table of contents, headers/footers, and styled requirement hierarchies. Leverages the docx skill for Word file generation. Use when: "export requirements to Word", "requirements to docx", "USDM to Word", "convert requirements document", "要件書をWord出力", "要件定義書のdocx変換", "Word形式で要件書を作成", "要件定義書をWordに変換".
Markdown 파일을 한글 문서(HWPX)로 변환합니다. pypandoc-hwpx 기반.
Structured development workflow that separates research, planning, and implementation into distinct phases with persistent markdown artifacts. Use when starting any non-trivial feature, refactor, bug investigation, or codebase change. Trigger on: "deep work", "research and plan", "plan before coding", "write a plan", "research this codebase", "don't code yet", "understand then implement", or when the user wants a disciplined approach to a complex task. Also use when the user says "research", "plan", "annotate", "implement the plan", or references research.md/plan.md artifacts.