AI Readiness Skill — AuditKit
This skill is auto-included in the generated ZIP when the AI Readiness pillar score is below 90.
10 stars
bynirholas
Best use case
AI Readiness Skill — AuditKit is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
This skill is auto-included in the generated ZIP when the AI Readiness pillar score is below 90.
Teams using AI Readiness Skill — AuditKit should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/ai-readiness/SKILL.md --create-dirs "https://raw.githubusercontent.com/nirholas/AuditKit/main/.agents/skills/ai-readiness/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-readiness/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How AI Readiness Skill — AuditKit Compares
| Feature / Agent | AI Readiness Skill — AuditKit | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
This skill is auto-included in the generated ZIP when the AI Readiness pillar score is below 90.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AI Readiness Skill — AuditKit
This skill is auto-included in the generated ZIP when the AI Readiness pillar score is below 90.
AI Readiness measures how discoverable and usable your project is by AI coding agents, LLM crawlers, and vibe-coders who ask their AI about your tool.
---
## llms.txt
The `llms.txt` standard (https://llmstxt.org) is a Markdown file at your domain root that gives LLMs context about your project — like `robots.txt` but for AI.
```
# YourProject
> One-sentence description of what your project does.
## Links
- Docs: https://yourdomain.com/docs
- Repo: https://github.com/you/project
## What it does
Brief description of capabilities, use cases, and how to get started.
## Quick Start
Installation and basic usage in 5 lines.
## License
MIT
```
Place at: `https://yourdomain.com/llms.txt`
For Next.js, create `public/llms.txt`.
---
## llms-full.txt
A longer version with complete API docs, type signatures, examples, and architecture context. Aimed at giving an LLM full context to work with your codebase without needing to read source files.
Place at: `https://yourdomain.com/llms-full.txt`
---
## AGENTS.md
Instructions for AI coding agents working in your repository. Should include:
```markdown
# AGENTS.md
## Project
Brief description.
## Tech Stack
- Framework, language, package manager
## Directory Map
Key directories and what they contain.
## Commands
\`\`\`bash
npm run dev
npm run build
npm run test
\`\`\`
## Conventions
- Code style preferences
- Patterns to follow
- Things to avoid
```
---
## CLAUDE.md / GEMINI.md
Same concept as AGENTS.md but with system-specific context:
- `CLAUDE.md` — Claude-specific notes (multi-file editing patterns, tool use preferences)
- `GEMINI.md` — Gemini-specific notes (context window usage, grounding)
---
## robots.txt — AI Crawler Directives
Allow AI crawlers explicitly so they index your content for training and search:
```
User-agent: GPTBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: Google-Extended
Allow: /
User-agent: anthropic-ai
Allow: /
User-agent: PerplexityBot
Allow: /
# Block specific paths from all bots
User-agent: *
Disallow: /private/
Allow: /
```
---
## GitHub Repository Hygiene
For GitHub repos, AI Readiness also checks:
| File | Why it matters |
|------|----------------|
| `README.md` | First thing an LLM reads about your project |
| `CONTRIBUTING.md` | AI agents follow contribution guidelines |
| `AGENTS.md` | Explicit AI agent instructions |
| `CLAUDE.md` | Claude-specific context |
| `GEMINI.md` | Gemini-specific context |
| `.github/copilot-instructions.md` | GitHub Copilot context |
| `llms.txt` | LLM-friendly project summary |
| `LICENSE` | Needed for AI training dataset classification |
| GitHub Topics | Makes repo discoverable in AI-powered search |
---
## Schema.org for AI Discovery
Structured data helps AI systems understand what your page is about:
```html
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "YourApp",
"description": "What it does",
"url": "https://yourdomain.com",
"applicationCategory": "DeveloperApplication",
"operatingSystem": "Web",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD"
}
}
</script>
```Related Skills
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.