llmstxt-doc-parsing

name	llms.txt & Doc Parsing
description	Rapidly ingest documentation via the /llms.txt standard to gain "fast-track" understanding of libraries without scraping entire sites.
version	1.0.0
author	Antigravity Skills Library
created	"2026-01-16T00:00:00.000Z"
leverage_score	5/5

SKILL-011: llms.txt & Doc Parsing

Overview

Executes "Rapid Documentation Mastery" by locating and consuming the llms.txt file from a documentation site. This file provides a curated map of markdown files optimized for LLM consumption, allowing the agent to instantly master a framework or API.

Trigger Phrases

• read docs for <url>
• ingest llms.txt
• learn <library> fast
• parse documentation

Inputs

Parameter	Type	Required	Default	Description
--url	string	Yes	-	Base URL of the project documentation (e.g., https://docs.example.com)
--output-dir	string	No	.docs	Directory to save ingested documentation
--max-files	int	No	10	Limit number of referenced files to fetch

Outputs

1. DOCS_INDEX.json

Metdata about what was ingested:

{
  "source_url": "https://docs.example.com/llms.txt",
  "project_name": "Example Lib",
  "ingested_files": [
    { "path": "overview.md", "tokens": 1200 },
    { "path": "api-reference.md", "tokens": 4500 }
  ],
  "total_tokens": 5700
}

2. CONSOLIDATED_KNOWLEDGE.md

A single, optimized markdown file containing the "fast-track" documentation content defined in llms.txt.

Preconditions

1. Target site must have an /llms.txt file (or user must provide direct link).
2. Internet access required.

Implementation

Script: fetch_docs.ps1

1. Checks url/llms.txt and url/llms-full.txt.
2. Parses the typical llms.txt format:

   # Project Name
   > Project Description
   
   - [Title](link) - Description
   - [API](link) - Main API docs
   

3. Fetches the linked markdown files.
4. Concatenates them into CONSOLIDATED_KNOWLEDGE.md.
5. Prompts the agent to read this single file.

Integration

Agent Workflow:

1. User asks: "How do I use this new generic web3 library?"
2. Agent runs: .\skills\08_llmstxt_doc_parsing\fetch_docs.ps1 -Url "https://generic-web3.io"
3. Script outputs: CONSOLIDATED_KNOWLEDGE.md
4. Agent reads file and answers user instantly.