wiki-llms-txt
Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification
Install / Use
npx skills add microsoft/skills --skill wiki-llms-txtInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of wiki-llms-txt
wiki-llms-txt scores 86/100 on our quality scale, 459th of 864 AI & Machine Learning skills we index.
Its SKILL.md is 5.0 KB long, well organised into 16 sections with 2 code examples: a solid amount of guidance for an agent.
With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so wiki-llms-txt is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
wiki-llms-txt compared with similar skills
All 4 of these similar skills score higher than wiki-llms-txt; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| wiki-llms-txt (this skill)by microsoft | 86 | 3.1k | 6d ago | SKILL.md |
| claude-memby thedotmack | 100 | 95.0k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 84.7k | 2d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install wiki-llms-txt?
- Run
npx skills add microsoft/skills --skill wiki-llms-txt. The install tabs above show the steps for each supported agent. - Which AI agents does wiki-llms-txt work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is wiki-llms-txt safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is wiki-llms-txt still maintained?
- The repository was last updated 6 days ago, so wiki-llms-txt is actively maintained.
Skill content
View source on GitHubname: wiki-llms-txt description: Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models. license: MIT metadata: author: Microsoft version: "1.0.0"
llms.txt Generator
Generate llms.txt and llms-full.txt files that provide LLM-friendly access to wiki documentation, following the llms.txt specification.
When This Skill Activates
- User asks to generate
llms.txtor mentions the llms.txt standard - User wants to make documentation "LLM-friendly" or "LLM-readable"
- User asks for a project summary file for language models
- User mentions
llms-full.txtor context-expanded documentation
Source Repository Resolution (MUST DO FIRST)
Before generating, resolve the source repository context:
- Check for git remote: Run
git remote get-url origin - Ask the user: "Is this a local-only repository, or do you have a source repository URL?"
- Remote URL → store as
REPO_URL - Local → use relative paths only
- Remote URL → store as
- Determine default branch: Run
git rev-parse --abbrev-ref HEAD - Do NOT proceed until resolved
llms.txt Format (Spec-Compliant)
The file follows the llms.txt specification:
# {Project Name}
> {Dense one-paragraph summary — what it does, who it's for, key technologies}
{Important context paragraphs — constraints, architectural philosophy, non-obvious things}
## {Section Name}
- [{Page Title}]({relative-path-to-md}): {One-sentence description of what the reader will learn}
## Optional
- [{Page Title}]({relative-path-to-md}): {Description — these can be skipped for shorter context}
Key Rules
- H1 — Project name (exactly one, required)
- Blockquote — Dense, specific summary (required). Must be unique to THIS project.
- Context paragraphs — Non-obvious constraints, things LLMs would get wrong without being told
- H2 sections — Organized by topic, each with a list of
[Title](url): Descriptionentries - "Optional" H2 — Special meaning: links here can be skipped for shorter context
- Relative links — All paths relative to wiki directory
- Dynamic — ALL content derived from actual wiki pages, not templates
- Section order — Most important first: Onboarding → Architecture → Getting Started → Deep Dive → Optional
Description Quality
| ❌ Bad | ✅ Good | |--------|---------| | "Architecture overview" | "System architecture showing how Orleans grains communicate via message passing with at-least-once delivery" | | "Getting started guide" | "Prerequisites, local dev setup with Docker Compose, and first API call walkthrough" | | "The API reference" | "REST endpoints with auth requirements, rate limits, and request/response schemas" |
llms-full.txt Format
Same structure as llms.txt but with full content inlined:
# {Project Name}
> {Same summary}
{Same context}
## {Section Name}
<doc title="{Page Title}" path="{relative-path}">
{Full markdown content — frontmatter stripped, citations and diagrams preserved}
</doc>
Inlining Rules
- Strip YAML frontmatter (
---blocks) from each page - Preserve Mermaid diagrams — keep
```mermaidfences intact - Preserve citations — all
[file:line](URL)links stay as-is - Preserve tables — all markdown tables stay intact
- Preserve
<!-- Sources: -->comments — these provide diagram provenance
Prerequisites
This skill works best when wiki pages already exist (via /deep-wiki:generate or /deep-wiki:page). If no wiki exists yet:
- Suggest running
/deep-wiki:generatefirst - OR generate a minimal
llms.txtfrom README + source code scan (without wiki page links)
Output Files
Generate three files:
| File | Purpose | Discoverability |
|------|---------|-----------------|
| ./llms.txt | Root discovery file | Standard path per llms.txt spec. GitHub MCP get_file_contents and search_code find this first. |
| wiki/llms.txt | Wiki-relative links | For VitePress deployment and wiki-internal navigation. |
| wiki/llms-full.txt | Full inlined content | Comprehensive reference for agents needing all docs in one file. |
The root ./llms.txt links into wiki/ (e.g., [Guide](./wiki/onboarding/contributor-guide.md)). The wiki/llms.txt uses wiki-relative paths (e.g., [Guide](./onboarding/contributor-guide.md)).
If a root llms.txt already exists and was NOT generated by deep-wiki, do NOT overwrite it.
Validation Checklist
Before finalizing:
- [ ] All linked files in
llms.txtactually exist - [ ] All
<doc>blocks inllms-full.txthave real content (not empty) - [ ] Blockquote is specific to this project (not generic boilerplate)
- [ ] Sections ordered by importance
- [ ] No duplicate page entries across sections
- [ ] "Optional" section only contains truly optional content
- [ ]
llms.txtis concise (1-5 KB) - [ ]
llms-full.txtcontains all wiki pages
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
