llmstxt
Skill4 starsChanged 6 months agoMITView on GitHub
A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time. You MUST load this skill when reading websites, llms.txt, or when creating/updating that file.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- seo-skills/geo-audit-skilltheir own version, first seen Sep 22, 2026
- rainday/smart-blog-skillstheir own version, first seen May 15, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- rainday/smart-blog-skills★ 35same name
- seo-skills/geo-audit-skill★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
17 rules. About 0 are common, 5 are distinctive, and 12 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
12
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
When using the webfetch tool to read documentation from a website.
- Very specific: line 14
When creating, updating, or maintaining an /llms.txt file for a project.
- Distinctive: line 15
When retrieving context about a website to help LLMs understand its structure.
- Distinctive: line 19
When reading local files that do not correspond to web documentation.
- Distinctive: line 20
When the task does not involve fetching external documentation or creating LLM context files.
- Very specific: line 24
Check for
llms.txtbefore reading docs: When you need to read documentation from a new website, always attempt to fetch … - Very specific: line 26
Check for
.mdversions of pages: If reading a specific page https://<domain>/path/page.html, try fetching … - Very specific: line 27
Creating or updating
llms.txt: When asked to create an llms.txt file for a site: - Very specific: line 28
Ensure it's located in the root path /llms.txt (or a subpath if specified).
- Very specific: line 29
Use an H1 with the project name (required).
- Very specific: line 30
Follow with a blockquote > containing a short summary.
- Very specific: line 34
Use a ## Optional section for URLs that can be skipped if a shorter context is needed.
- Very specific: line 38
Use concise, clear language in llms.txt files.
- Distinctive: line 39
When linking to resources, include brief, informative descriptions.
- Distinctive: line 40
Prefer markdown formats as they are easily understood by language models.
- Very specific: line 44
Do not use llms.txt as a full sitemap (use sitemap.xml for search engines).
- Very specific: line 45
Avoid putting large unstructured data directly in /llms.txt.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
llmstxt
<!-- markdownlint-disable MD013 MD023 MD031 MD032 -->When to Use
- When using the
webfetchtool to read documentation from a website. - When creating, updating, or maintaining an
/llms.txtfile for a project. - When retrieving context about a website to help LLMs understand its structure.
When Not to Use
- When reading local files that do not correspond to web documentation.
- When the task does not involve fetching external documentation or creating LLM context files.
Core Process
- Check for
llms.txtbefore reading docs: When you need to read documentation from a new website, always attempt to fetchhttps://<domain>/llms.txtfirst. This file often contains a curated overview of the documentation and links to LLM-friendly markdown files. - Look for expanded context files: Some sites provide
/llms-ctx.txt(expanded context without optional URLs) or/llms-ctx-full.txt(full expanded context). Fetching these can provide all the documentation in a single context-friendly file. - Check for
.mdversions of pages: If reading a specific pagehttps://<domain>/path/page.html, try fetchinghttps://<domain>/path/page.html.md(orindex.html.mdfor directories) as it might provide a clean markdown version. - Creating or updating
llms.txt: When asked to create anllms.txtfile for a site:- Ensure it's located in the root path
/llms.txt(or a subpath if specified). - Use an
H1with the project name (required). - Follow with a blockquote
>containing a short summary. - Include zero or more markdown sections with detailed information.
- Include zero or more
H2(##) sections containing "file lists" of URLs. - In file lists, use standard markdown links
[name](url)optionally followed by:and notes. - Use a
## Optionalsection for URLs that can be skipped if a shorter context is needed.
- Ensure it's located in the root path
Best Practices
- Use concise, clear language in
llms.txtfiles. - When linking to resources, include brief, informative descriptions.
- Prefer markdown formats as they are easily understood by language models.
What to Avoid
- Do not use
llms.txtas a full sitemap (usesitemap.xmlfor search engines). - Avoid putting large unstructured data directly in
/llms.txt; link to detailed.mdfiles instead.
Common Pitfalls
- Forgetting to check
llms.txtfirst: Jumping straight to searching individual HTML pages can lead to parsing complex HTML and missing curated LLM context. Always fetch/llms.txtor/llms-ctx.txtfirst. - Incorrect file structure: Failing to include the required H1 or blockquote summary when generating the file.
- Overlooking
.mdextensions: Wasting tokens on raw HTML when appending.mdto the URL could yield clean markdown.
References
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