claude-code-ultimate-guide/machine-readable
Florian BRUNIAUX 1b5514e0e6 feat(onboarding): add adaptive pedagogy and multi-LLM compatibility
- Add communication tone preference (pedagogical/direct/coaching/adaptive)
- Extend style preference to all goals at 15min threshold
- Add "reset" option for mid-journey preference changes
- Add "skip" shows what's being skipped
- Add fallback roadmap when reference.yaml fetch fails
- Add multi-LLM compatibility footnote (works on ChatGPT, Gemini, etc.)
- Update reference.yaml with tone question and question_flow

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-15 14:28:28 +01:00
..
llms.txt feat(docs): add architecture deep-dive documentation v3.4.0 2026-01-14 21:29:46 +01:00
README.md refactor: restructure repo into thematic directories v3.1.0 2026-01-13 15:30:02 +01:00
reference.yaml feat(onboarding): add adaptive pedagogy and multi-LLM compatibility 2026-01-15 14:28:28 +01:00

Machine-Readable References

Files optimized for LLM/AI consumption.

Contents

File Description Tokens
reference.yaml Structured index with line numbers for deep dives ~2K
llms.txt Standard LLM context file for repository indexation ~1.5K

Usage

Give Claude Code instant expertise

# Paste into any AI assistant
curl -sL https://raw.githubusercontent.com/FlorianBruniaux/claude-code-ultimate-guide/main/machine-readable/reference.yaml

Reference in Claude Code

@machine-readable/reference.yaml

Add to system prompts

Include the YAML content in your AI assistant's system prompt for Claude Code expertise.


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