
🩺 llms.txt Doctor
Generate an llms.txt for your site and validate an existing one against the spec. The generator turns your sitemap.xml or docs folder into a clean, sectioned llms.txt with one-line descriptions. The validator flags a missing H1 title, a missing summary blockquote, malformed link entries, links with no description, relative URLs that should be absolute, and a referenced llms-full.txt that is not present.
- Validate existing llms.txt files against official spec requirements
- Bootstrap an llms.txt file from an existing XML sitemap
- Convert local docs directories into a structured llms.txt skeleton
$9
· or 45 creditsSecure checkout via Stripe
Included in download
- Validate existing llms.txt files against official spec requirements
- Bootstrap an llms.txt file from an existing XML sitemap
- terminal, file_read, file_write automation included
- Ready for Cursor
Sample input
Check my existing llms.txt file for any formatting errors or missing required sections according to the spec.
Sample output
Validation Results for llms.txt:
- [LLT002] Error: Missing mandatory summary blockquote after the H1 title.
- [LLT004] Warning: Link to '/api/auth' is missing a descriptive summary.
- [LLT005] Error: Found relative URL 'docs/intro'; absolute URLs are required.
Status: 3 issues found.
Generate an llms.txt for your site and validate an existing one against the spec. The generator turns your sitemap.xml or docs folder into a clean, sectioned llms.txt with one-line descriptions. The validator flags a missing H1 title, a missing summary blockquote, malformed link entries, links with no description, relative URLs that should be absolute, and a referenced llms-full.txt that is not present.
$9
· or 45 creditsSecure checkout via Stripe
Included in download
- Validate existing llms.txt files against official spec requirements
- Bootstrap an llms.txt file from an existing XML sitemap
- terminal, file_read, file_write automation included
- Ready for Cursor
- Instant install
Sample input
Check my existing llms.txt file for any formatting errors or missing required sections according to the spec.
Sample output
Validation Results for llms.txt:
- [LLT002] Error: Missing mandatory summary blockquote after the H1 title.
- [LLT004] Warning: Link to '/api/auth' is missing a descriptive summary.
- [LLT005] Error: Found relative URL 'docs/intro'; absolute URLs are required.
Status: 3 issues found.
About This Skill
Optimize Your Site for the AI-Native Web
The llms.txt Doctor is a specialized utility designed to help developers implement the emerging llms.txt standard correctly. It ensures your documentation and site content are perfectly structured for discovery by LLMs, AI agents, and crawlers.
What it does
This skill provides two primary functions: validation and generation. It can ingest your current llms.txt file to identify spec violations—such as missing summaries, malformed links, or incorrect structure—using a rigorous set of internal rules (LLT001-LLT007). Additionally, it can automatically bootstrap a new llms.txt skeleton by parsing your existing XML sitemaps or local documentation directories.
Why use this skill?
- Ensure Agent Readability: Avoid common formatting errors that prevent AI agents from parsing your docs accurately.
- Rapid Bootstrapping: Instantly convert sitemaps into valid Markdown-based llms.txt files.
- Safety First: Validation is read-only, and file generation requires explicit developer confirmation before writing to disk.
- Spec Compliance: Validates against mandatory H1 titles, summary blockquotes, and absolute URL requirements.
Deliverables
The skill provides detailed validation reports with specific error codes and remediation steps, as well as well-formatted Markdown content ready for deployment to your site's root.
Use Cases
- Validate existing llms.txt files against official spec requirements
- Bootstrap an llms.txt file from an existing XML sitemap
- Convert local docs directories into a structured llms.txt skeleton
- Identify malformed links and missing descriptions in AI-ready manifests
Known Limitations
It validates the structure and format of the file you give it and generates from local input. It does not fetch live URLs, so it confirms a link is absolute and well-formed, not that it actually resolves.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/llms-txt-doctor -o /tmp/llms-txt-doctor.zip && unzip -o /tmp/llms-txt-doctor.zip -d ~/.claude/skills && rm /tmp/llms-txt-doctor.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
Passed automated security review
Permissions
Allowed Hosts
File Scopes
Read-only by default; prints generated output to stdout and writes only with --write. Reads no environment variables.
Works with any agent that can read a file and run a local Python script (Claude Code, Cursor, Codex CLI, and other SKILL.md-compatible agents). Standard library only (parses XML with the built-in parser), no install step.
Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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