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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-txt

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

86/100

Supported Platforms

Universal

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.

Substance
26/30
Structure
18/20
Description
12/15
Adoption
15/20
Freshness
15/15

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 found

Our 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.

SkillScoreStarsUpdatedFormat
wiki-llms-txt (this skill)by microsoft863.1k6d agoSKILL.md
claude-memby thedotmack10095.0k1d agoCLAUDE.md
Understand-Anythingby Egonex-AI10084.7k2d agoCLAUDE.md
headroomby headroomlabs-ai10074.1ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.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.

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.

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:

# {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:

# {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

Related Skills

View on GitHub
GitHub Stars3.1k
CategoryAI
Updated6d ago
Forks349

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
wiki-llms-txt — Universal Skill: Install & Safety Check | SkillAgent