markdown-to-xml
Convert markdown articles from Obsidian vault to XML format, preserving bold text, blockquotes, and header hierarchy based on hashtag count
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Documents skills
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
markdown-writer
Edit and create markdown files with consistent style. Use when: (1) Creating or updating README files, (2) Editing documentation, (3) Writing DONE.md, PLAN.md, RESEARCH.md, (4) Any .md file edits. Follows Paul Graham writing style: short sentences, direct claims, no hedging.
☆498 repo stars⑂78 repo forks
Documents
mdf-md-api-docs-majo
MDF-style API reference documentation for markdown files. Use when writing API references or documentation from code using the meadow Docstring Format (MDF). Covers function and class documentation templates with proper formatting for arguments, returns, raises, methods, and usage examples.
☆498 repo stars⑂78 repo forks
Documents
media-gen
Generate images and videos using Google GenAI models. Use when user asks to "generate image with Gemini/Nano Banana", "create video with Veo", "make an image using Imagen", or requests media generation with specific models like gemini-2.5-flash-image, gemini-3.0-pro-image, imagen-3.0, veo-3.1, or veo-3.0.
☆498 repo stars⑂78 repo forks
Documents
media-transcript-search
Extract and search transcripts from multimedia sources (primarily YouTube). Allows finding specific topics within long content without watching the whole video.
☆498 repo stars⑂78 repo forks
Documents
monorepo-readme
Write README files for monorepo projects with multiple packages. Use when: (1) creating monorepo root README, (2) adding package to monorepo, (3) documenting workspace commands. Covers architecture diagrams, package tables, build order, publishing workflows.
☆498 repo stars⑂78 repo forks
Documents
mq
This skill should be used when the user asks to "get code blocks from README", "extract links from markdown", "find all headers in this doc", "pull the table from documentation", "what code examples are in this file", or when needing specific elements (code, links, headers, tables) from large Markdown files without loading the entire file.
☆498 repo stars⑂78 repo forks
Documents
multi-dataset-unification-pipeline
When the user requests to find, analyze, and merge multiple datasets from Hugging Face or similar repositories into a unified format. This skill handles the complete pipeline searching for datasets, examining their structure, parsing format specifications, converting diverse dataset formats (ToolACE, Glaive, XLAM, etc.) into a standardized schema, and merging them into a single output file. Key triggers include requests involving 'dataset unification', 'format conversion', 'merge datasets', 'Hugging Face datasets', 'tool-calling datasets', 'JSONL output', or when users provide a format specification document like 'unified_format.md'.
☆498 repo stars⑂78 repo forks
Documents