optimize-llm-config-docs

Inline document optimization rewrites verbose human-oriented sections into actionable rules and commands, removing non-actionable content to reduce token waste. This process produces compact LLM configuration guidance for faster execution.

Condensing a CLAUDE.md file involves structural consolidation to remove non-actionable content like troubleshooting logs, transforming the document into an action-focused, compact reference guide for LLM execution.

Progressive disclosure for large LLM documentation works by splitting large files into subdocuments and loading specific topics on demand. This approach minimizes token usage by only reading relevant sections when needed.

Yes, you need a valid SKILL.md frontmatter with both name and description fields to optimize LLM docs. This frontmatter is a required prerequisite before the inline optimization process can execute.

When turning LLM prompts into compact guides, remove non-actionable human-oriented content such as Symptoms, Troubleshooting, and session-based notes. Essential guidance must be preserved and rewritten into clear rules and commands.