For AI assistants

Syllago supports the llms.txt standard — a convention that makes documentation machine-readable for Large Language Models.

Available resources

These files are generated automatically from the same source as this documentation site.

Resource	Description	Best for
llms.txt	Index of available documentation sets	Discovery
llms-small.txt	Condensed documentation	Quick context, smaller models
llms-full.txt	Complete documentation	Comprehensive understanding

How to use these

Feed these resources to your AI coding assistant when you need help working with syllago.

Paste into a chat: Copy the content of llms-full.txt into Claude, ChatGPT, or any LLM chat, then ask your question.

Use with CLI tools:

# Feed syllago docs to Claude Code
curl -s https://syllago.dev/llms-full.txt | pbcopy

# Use with any tool that accepts URLs
# Many AI tools can fetch URLs directly

Context window tips:

• Use llms-small.txt when you just need an overview or are working with smaller context windows
• Use llms-full.txt when you need detailed information about specific features
• The Copy page button (top-right of any page) copies individual page content for focused questions

Verify it worked

After feeding the docs to your assistant, ask it a question whose answer lives in the docs — not in the model’s general knowledge. A good smoke test:

Which providers does syllago support, and which of them support skills?

The answer should list the providers from the provider support matrix (Claude Code, Cursor, Gemini CLI, Windsurf, Codex, Copilot CLI, Zed, Cline, Roo Code, OpenCode, Kiro, Amp, Factory Droid, Pi, Crush) rather than guessing or telling you to run a command. If the assistant can’t answer, it likely didn’t receive the full file — try llms-full.txt rather than llms-small.txt, or paste the provider matrix page directly using its Copy page button.

You can always get the authoritative list locally with:

syllago info providers