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SKILL verified Apache-2.0 Self-run

llms.txt & Doc Parsing

skill-sounder25-foundational-agent-skills-11-llmstxt-doc-parsing · by Sounder25

Rapidly ingest documentation via the /llms.txt standard to gain "fast-track" understanding of libraries without scraping entire sites.

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Install

$ agentstack add skill-sounder25-foundational-agent-skills-11-llmstxt-doc-parsing

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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
  • ingest llms.txt
  • learn 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:

```text # Project Name > Project Description

  • [Title](link) - Description
  • [API](link) - Main API docs

```

  1. Fetches the linked markdown files.
  2. Concatenates them into CONSOLIDATED_KNOWLEDGE.md.
  3. 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.