Browse reusable Agent Skills, each with a clear purpose and practical guidance.
This skill should be used when the user asks to validate, reindex, repair registries, check links, check continuity, count words, summarize a story project, import an existing manuscript, export a manuscript, run the story CLI, or perform deterministic maintenance on a Story Skills markdown project.
Create a new specification file for the solution, optimized for Generative AI consumption.
Generate and maintain AI-readable markdown documentation for a codebase in docs/. Use this skill whenever the user asks to document their codebase, generate project docs, create architecture docs, update documentation after code changes, build a knowledge base for AI agents, create onboarding docs, map out a codebase, or explain a project structure. Also trigger when users say things like "document this repo", "create docs for my project", "update the docs", "write architecture documentation", "help AI understand my code", "generate a codebase overview", or "maintain docs". This skill is specifically about creating structured markdown files in a docs/ directory that serve as a knowledge base — NOT about writing inline code comments, README files, or API reference docs from docstrings.
Review a codebase and generate or update its README.md according to best practices. The skill performs static analysis of the project structure, dependencies, scripts, and existing documentation, then produces a comprehensive, accurate README. **Triggers — use this skill when:** - User asks to "review", "update", "improve", or "generate" a README - User says "create a README for this project" - User mentions "document this repo", "add documentation" - User asks to "fix my README" or "make my README better" - User provides a codebase and asks for documentation help **Covers:** Any project type — Node.js, Python, Rust, Go, Java, Ruby, PHP, monorepos, static sites, CLI tools, libraries, APIs, Docker-based projects, and more. Works with both new READMEs (from scratch) and existing ones (update/improve).
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
Write and improve documentation for ComfyUI nodes in per-node JSON files. Use when asked to document nodes, write node descriptions, add tips to nodes, improve node docs, enrich node content, fill in empty node descriptions, or batch-write documentation for new/updated nodes. Also triggers on "write docs for nodes", "document the new nodes", "improve node tips", "fill in node descriptions", "enrich nodes", "node content pass", "update nodes", "sync comfyui nodes", "new comfyui version", or "node enrichment".
Mine recent Claude Code sessions for non-obvious, multi-file CLAUDE.md candidates, adversarially verify them, and propose paste-ready additions. Use when the user wants to harvest documentation-worthy patterns/gotchas from past coding sessions into a project's CLAUDE.md, or says "mine my sessions for CLAUDE.md", "what should be in my CLAUDE.md", "/mine-claude-md".
Agent-callable Runway tools — generate images and video from text or images, edit and upscale media, animate characters, generate speech and sound effects, and run marketing recipes, plus track generation jobs. Use when the user mentions Runway or wants to generate, edit, or upscale AI media, even if they don't name Runway explicitly.
Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/
Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.