Generate LLMs Files

Generate

/llms.txt

/llms-full.txt

Overview

This skill generates machine-readable documentation files following the llmstxt.org standard:

• /llms.txt

  — A curated table of contents with links to detailed pages

• /llms-full.txt

  — Comprehensive markdown containing all site content

• /*.md

  — Page-specific markdown files (skills.md, agents.md, mcp.md, etc.)

Page Registry

Pages are automatically discovered from the page registry at

site/src/data/pages.ts

export const pages: readonly PageMeta[] = [
  {
    slug: 'skills',
    title: 'Skills Tutorial',
    description: 'How to create agent skills...',
    mdFile: 'skills.md',
    partNumber: 3,
  },
  // ... more pages
]

When creating a new page, add an entry to the registry to include it in the llms files.

When to Use

Use this skill when:

• You've updated content in the data files (

  site/src/data/*.ts

  )
• You've added a new page (remember to add it to the page registry!)
• Before deploying or releasing a new version of the site
• When an agent needs to understand what content should be in llms files

Data Sources

The llms files are generated from these TypeScript data files:

site/src/data/pages.ts

site/src/data/primitives.ts

site/src/data/comparison.ts

site/src/data/skillsTutorial.ts

site/src/data/skillExamples.ts

site/src/data/agentsTutorial.ts

site/src/data/mcpTutorial.ts

File Structure

site/public/
├── llms.txt           # Table of contents (llmstxt.org format)
├── llms-full.txt      # Complete site content in one file
├── skills.md          # Skills page content (rich markdown)
├── agents.md          # Agents page content (rich markdown)
└── mcp.md             # MCP page content (rich markdown)

Generation Process

Step 1: Generate

/llms.txt

(Table of Contents)

The homepage llms.txt follows the strict llmstxt.org format:

• H1 with project name
• Blockquote with summary
• Optional paragraph (no headings)
• H2 sections with link lists only

# agentconfig.org

> A reference site for configuring AI coding assistants. Covers 10 AI primitives,
> provider comparison (GitHub Copilot vs Claude Code), and tutorials for skills
> and agent definitions.

## Pages

- [Homepage](https://agentconfig.org/): AI primitives reference, file tree, provider comparison
- [Skills Tutorial](https://agentconfig.org/skills): How to create agent skills following agentskills.io
- [Agents Tutorial](https://agentconfig.org/agents): Agent definition files for Copilot and Claude

## Docs

- [Full site content](/llms-full.txt): Complete content for deep context
- [Skills page content](/skills.md): Skills tutorial with 5 example skills
- [Agents page content](/agents.md): Agents tutorial with code samples

## Optional

- [agentskills.io specification](https://agentskills.io/specification): The skills format
- [AGENTS.md specification](https://agents.md): Open format for coding agents

Step 2: Generate

/llms-full.txt

(Complete Content)

Run the generation script:

bun .github/skills/generate-llms/scripts/generate-llms-full.ts

This reads all data files and generates comprehensive markdown including:

1. Site overview with purpose and structure
2. All 10 AI primitives with full details:
   • Description
   • What it is
   • When to use it
   • What it prevents
   • What to combine it with
   • Provider implementations (Copilot and Claude)
3. Provider comparison table showing support levels
4. Config file locations for both providers
5. Skills tutorial with all concepts and 5 example skills
6. Agents tutorial with all sections and code samples

Step 3: Generate Page-Specific

.md

Files

/skills.md

• Tutorial sections (Understanding the Spec, Progressive Disclosure, etc.)
• 5 example skills with full SKILL.md content
• Key takeaways for each example

/agents.md

• 9 tutorial sections from beginner to advanced
• Code samples for AGENTS.md, CLAUDE.md, copilot-instructions.md
• Path-scoped rules, agent personas, monorepo strategies

Manual Generation

If the script isn't available, generate manually by:

1. Read each data file in

   site/src/data/

2. Extract the exported arrays/objects
3. Format as markdown following the templates below

Template: Primitive Entry

### {name}

{description}

**What it is:** {whatItIs}

**Use when:**
{useWhen as bullet list}

**Prevents:** {prevents}

**Combine with:** {combineWith as comma-separated list}

**Provider Implementations:**

| Provider | Implementation | Location | Support |
|----------|---------------|----------|---------|
| Copilot | {implementation} | {location} | {support} |
| Claude | {implementation} | {location} | {support} |

Template: Skill Example

### {displayName}

**Complexity:** {complexity}
**Demonstrates:** {demonstrates}

{description}

**Files:**

\`\`\`{language}
// {path}
{content}
\`\`\`

**Key Takeaways:**
{keyTakeaways as bullet list}

Validation

After generating, verify:

1. Links work — All internal links resolve
2. Content is current — Matches what's shown on the site
3. Format is correct — Valid markdown, proper headings
4. Size is reasonable — llms-full.txt should be comprehensive but not bloated

Example Prompts

Generate all llms files

Generate all the llms.txt files for agentconfig.org

Update after content change

I updated the primitives data, regenerate the llms files

Check what should be in llms-full.txt

What content should be included in llms-full.txt?