wiki-llms-text
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.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/bklit/bklit-ui --skill wiki-llms-text- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads wiki-llms-text automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
FAQ
What does the wiki-llms-text skill do?
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.
How do I install wiki-llms-text?
Run npx skills add https://github.com/bklit/bklit-ui --skill wiki-llms-text in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/wiki-llms-text/ (personal) or .claude/skills/wiki-llms-text/ (project).
Which AI agents can use wiki-llms-text?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is wiki-llms-text safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains wiki-llms-text?
It is published by bklit in bklit/bklit-ui. It has 46 recorded installs.
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