Audit CLAUDE.md files for fidelity and cache efficiency.
npx skills add https://github.com/eBay/evo-web --skill context-auditor-ebay
Please help me install this Agent Skill. Skill: context-auditor Source: https://github.com/eBay/evo-web/tree/main/.claude/skills/context-auditor Command: npx skills add https://github.com/eBay/evo-web --skill context-auditor-ebay
This Skill addresses the challenge of ensuring AI configuration files (like CLAUDE.md) are optimized for maximum effectiveness, balancing accuracy, cache efficiency, and task success rates.
CLAUDE.md files within a repository to ensure consistency and adherence to token budgets.CLAUDE.md file, ensuring that critical architectural rules are placed at the beginning of the prompt for maximum AI adherence, and that the total token count across all configuration files remains below 2,000 for efficient caching.Audit the CLAUDE.md file in the current directory for fidelity and cache efficiency.
High-intent search queries and answers about installing and using this skill.
You can optimize AI configuration files by auditing them against prompt engineering principles like the primacy effect, XML encapsulation, and correctness guards to ensure reliable instruction adherence and efficient caching.
Your AI context configuration likely exceeds optimal caching thresholds if the combined token count across all files surpasses 2,000 tokens, requiring an audit to refactor and reduce the token budget.
The primacy effect in prompt engineering dictates that placing critical architectural rules at the beginning of the AI configuration maximizes the model's attention and adherence to those instructions.
Yes, you can perform repo-wide audits to analyze all CLAUDE.md files within a repository, ensuring consistent adherence to token budgets and attention architecture principles across the entire project.
To maximize attention on critical information, review the attention architecture by strategically layering instructions within the AI context hierarchy and applying XML encapsulation to isolate key directives.
Yes, XML encapsulation improves correctness guards in AI configuration files by structurally isolating critical rules and constraints, which enhances the model's ability to parse and strictly follow complex instructions.
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