claude-code-ultimate-guide/machine-readable
Florian BRUNIAUX 0ec02b0fa5 docs: add subscription token limits & Goose comparison
Enrichir la section subscription limits (ultimate-guide.md):
- Tableau des budgets tokens par plan (Pro 44K, Max 88-220K)
- Ratio Opus/Sonnet 8-10× documenté explicitement
- Clarification "heures" = temps de traitement, pas tokens
- Lien vers ccusage (outil communautaire de monitoring)
- Note historique sur réductions non annoncées (Oct 2025)

Nouvelle section Goose dans ai-ecosystem.md:
- Comparaison technique Claude Code vs Goose (7 critères)
- Stats GitHub (15K+ stars, 350+ contributors)
- Use cases et trade-offs honnêtes
- Hardware requirements selon LLM
- Quick start avec commandes d'installation

Sources: Perplexity research (Jan 2026), official Anthropic docs,
community reports (Reddit, GitHub issues, HN).

Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-23 08:58:21 +01:00
..
claude-code-releases.yaml docs: update Claude Code releases to v2.1.14 2026-01-21 11:35:34 +01:00
cowork-reference.yaml docs: complete Cowork documentation v1.0 (Phase 2) 2026-01-20 11:23:43 +01:00
llms.txt feat: add ecosystem positioning, install script & new commands 2026-01-19 08:42:33 +01:00
README.md refactor: restructure repo into thematic directories v3.1.0 2026-01-13 15:30:02 +01:00
reference.yaml docs: add subscription token limits & Goose comparison 2026-01-23 08:58:21 +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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