wiki-llms-txt — Claude Code skill: what it does, how to install
Builds llms.txt and llms-full.txt files following the llmstxt.org standard to make wiki docs consumable by AI agents.
npx skills add microsoft/skills --skill wiki-llms-txt -a claude-codeWhat wiki-llms-txt does
The skill produces structured documentation index files per the llms.txt specification. It structures the output with a single project title, a concise summary blockquote, architectural context paragraphs, and categorized links arranged by topic priority from onboarding to optional sections.
It generates three distinct files: root ./llms.txt, wiki/llms.txt for VitePress navigation, and wiki/llms-full.txt. For the inlined export, it strips YAML frontmatter from each markdown page while keeping Mermaid diagram fences, tables, citations, and source comments intact inside <doc> tags.
Before writing any files, the skill queries Git for the remote URL and default branch, stopping if unresolved. If an existing root llms.txt was not created by deep-wiki, the tool refuses to overwrite it. It operates best when wiki markdown pages already exist via /deep-wiki:generate or /deep-wiki:page.
What it helps with
- generate standard llms.txt files for project documentation
- combine multiple wiki markdown files into llms-full.txt
- export documentation while preserving Mermaid diagrams and tables
- prepare VitePress wiki links for language model discovery
Example prompts for the agent
- Generate llms.txt and llms-full.txt from our wiki docs
- Create an llms.txt file following the llmstxt.org spec
- Bundle the documentation into llms-full.txt with inlined pages
How to install wiki-llms-txt
1Skills CLI (Vercel)
npx skills add microsoft/skills --skill wiki-llms-txt -a claude-code2Manually: put the files in place
~/.claude/skills/wiki-llms-txt/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/wiki-llms-txt/
Manually: put the files in place
.agents/skills/wiki-llms-txt/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/wiki-llms-txt/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install microsoft/skills wiki-llms-txt2Manually: put the files in place
.github/skills/wiki-llms-txt/SKILL.mdPlatform CLI
gemini skills install https://github.com/microsoft/skills --path .github/plugins/deep-wiki/skills/wiki-llms-txtManually: put the files in place
.devin/skills/wiki-llms-txt/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about wiki-llms-txt
How to install wiki-llms-txt in Claude Code?
Run npx skills add microsoft/skills --skill wiki-llms-txt -a claude-code.
What does wiki-llms-txt do?
It analyzes your wiki pages to build llms.txt and llms-full.txt files formatted specifically for language model ingestion.
What happens if the repository has no wiki pages yet?
It suggests running /deep-wiki:generate first or falls back to scanning the README and source code to output a minimal llms.txt.
Source text
SKILL.md · MIT
---
name: 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](https://llmstxt.org/).
## When This Skill Activates
- User asks to generate `llms.txt` or 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.txt` or context-expanded documentation
## Source Repository Resolution (MUST DO FIRST)
Before generating, resolve the source repository context:
1. **Check for git remote**: Run `git remote get-url origin`
2. **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
3. **Determine default branch**: Run `git rev-parse --abbrev-ref HEAD`
4. **Do NOT proceed** until resolved
## llms.txt Format (Spec-Compliant)
The file follows the [llms.txt specification](https://llmstxt.org/):
```markdown
# {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
1. **H1** — Project name (exactly one, required)
2. **Blockquote** — Dense, specific summary (required). Must be unique to THIS project.
3. **Context paragraphs** — Non-obvious constraints, things LLMs would get wrong without being told
4. **H2 sections** — Organized by topic, each with a list of `[Title](url): Description` entries
5. **"Optional" H2** — Special meaning: links here can be skipped for shorter context
6. **Relative links** — All paths relative to wiki directory
7. **Dynamic** — ALL content derived from actual wiki pages, not templates
8. **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:
```markdown
# {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 `` ```mermaid `` fences 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:
1. Suggest running `/deep-wiki:generate` first
2. OR generate a minimal `llms.txt` from 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.txt` actually exist
- [ ] All `<doc>` blocks in `llms-full.txt` have 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.txt` is concise (1-5 KB)
- [ ] `llms-full.txt` contains all wiki pages
© Microsoft · MIT · microsoft/skills