geo-llmstxt

Solid

Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.

AI & Automation 15 stars 3 forks Updated 3 days ago MIT

Install

View on GitHub

Quality Score: 83/100

Stars 20%
40
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# llms.txt Standard Analysis and Generation Skill ## Purpose This skill handles everything related to the `llms.txt` standard — an emerging convention (proposed by Jeremy Howard in September 2024) that lets a website give AI systems structured guidance about its content, structure, and key information. It is analogous to `robots.txt` (which tells crawlers what NOT to access) but instead tells AI systems what IS most useful to understand about the site. The full format spec, the `llms-full.txt` variant, a fill-in template, and best practices live in **[`references/spec.md`](references/spec.md)** — read it before validating or generating a file. ## Why llms.txt Matters AI models must work out which pages matter, what a site is about, and how content is organized — usually by crawling many pages and inferring structure. `llms.txt` solves this with an explicit, machine- and human-readable summary. 1. **Faster AI comprehension:** understand the site's purpose and structure from one file rather than dozens of pages. 2. **Controlled narrative:** you choose which pages and facts AI systems see first, shaping how they represent your brand. 3. **Higher citation accuracy:** AI systems that consult llms.txt cite the correct, authoritative page for each topic. 4. **Reduced misrepresentation:** key facts (pricing, features, locations) are stated explicitly, reducing hallucination. 5. **Early-adopter advantage:** only a small minority of sites have an llms.txt today, so it remains a d...

Details

Author
techhorizonlabs
Repository
techhorizonlabs/thl-open
Created
2 months ago
Last Updated
3 days ago
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category