Alonw0 Llm Docs Optimizer
alonw0-llm-docs-optimizer is a Claude Code plugin for the Build phase that optimizes documentation for AI coding assistants through c7score, llms.txt, restructuring, and quality scoring.
Tune READMEs and product docs so Claude, Copilot, and other LLMs retrieve the right answers via c7score, llms.txt, and question-driven structure.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install alonw0-llm-docs-optimizer@alonw0/llm-docs-optimizerBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:alonw0/llm-docs-optimizer") and the paste-ready config with skillselion.get_install_config("plugin:alonw0/llm-docs-optimizer").
What it does
alonw0-llm-docs-optimizer is a Claude Code plugin that treats documentation as infrastructure for AI coding assistants. Solo builders install it when their READMEs, API references, or internal guides underperform in Claude, GitHub Copilot, or other LLM sessions—wrong sections surfaced, missing entry points, or bloated prose that models ignore. The plugin drives c7score optimization, generates llms.txt files, restructures content around real questions builders ask, and scores doc quality automatically so you can iterate with evidence instead of gut feel. It spans multiple journey moments: while building and writing docs, before ship when reviewers need clarity, and at launch when AI search and answer engines depend on clean, citable structure. It does not replace technical writing from scratch or legal review; it makes existing docs more effective for machines and humans. If you only need spell-check or a static site generator, skip this; if you want measurably better assistant behavior from your repo docs, this is the specialized optimizer rather than a generic markdown linter.
Highlights
- c7score optimization for AI-readable documentation
- llms.txt generation for assistant crawl and context boundaries
- Question-driven restructuring so docs match how builders ask
- Automated documentation quality scoring and evaluation hooks
- Single Claude Code plugin (pluginCount 1) for docs-plus-LLM workflows
Why builders use it
Your docs look fine to humans but coding assistants hallucinate or miss APIs because structure and llms.txt-friendly signals are weak.
After optimization runs, documentation scores higher, includes assistant-oriented artifacts like llms.txt, and answers question-shaped queries more reliably in Claude and Copilot.
At a glance
- Type - Plugin in Development Tools.
- Adoption - 0 installs, 52 stars, 0 votes.
FAQ
Who is alonw0-llm-docs-optimizer for?
It is for developers and indie maintainers who want Claude Code to improve docs so AI assistants understand their project faster and more accurately.
When should I use alonw0-llm-docs-optimizer?
Use it while writing or refactoring documentation, before a release, or when assistants consistently misread your README and API guides.
How do I add alonw0-llm-docs-optimizer to my agent?
Add the alonw0/llm-docs-optimizer plugin in Claude Code, point it at your doc tree, and run its optimize, llms.txt, restructuring, and scoring flows on the target files.
Comments
Share how you use alonw0-llm-docs-optimizer, gotchas, or tips for other indie builders.
No comments yet - be the first to share how you use it.