Audit and optimize AI context files to reduce token waste.
npx skills add https://github.com/pablontiv/praxis --skill context-audit-pablontiv
Please help me install this Agent Skill. Skill: context-audit Source: https://github.com/pablontiv/praxis/tree/main/.claude/skills/context-audit Command: npx skills add https://github.com/pablontiv/praxis --skill context-audit-pablontiv
This Skill addresses the problem of inefficient and costly AI interactions caused by poorly written or bloated context files, ensuring agents operate with maximum effectiveness and minimal token waste.
CLAUDE.md, AGENTS.md, rules, skills, and memory files against empirical evidence to identify issues like redundancy, vagueness, and bloat.context-audit to scan their CLAUDE.md and rules/ directory, identifying and fixing verbose instructions and redundant information, leading to faster and cheaper AI responses.Use the context-audit skill to audit all context files in the current project.
High-intent search queries and answers about installing and using this skill.
You can audit AI context files like CLAUDE.md and AGENTS.md using 12 evidence-based checks to identify and remove redundancy, bloat, and vagueness, which reduces token waste and improves instruction density for better agent performance.
AI context optimization is the process of auditing rules, skills, and memory files to eliminate verbose instructions and redundant information. You need it when AI agents become slow, expensive, or inefficient due to bloated context windows.
You can perform cross-repository sweeps to audit context files across multiple repositories and user-level configurations, applying targeted remediations to improve specificity and overall efficiency comprehensively.
Yes, you can automate remediation for vague or bloated agent instructions by applying targeted optimizations that improve instruction density and specificity, fixing verbose rules and memory files without manual rewriting.
Running a context file audit requires Bash, Read, Write, Edit, Glob, Grep, and AskUserQuestion tools for file manipulation and user interaction during the optimization process.
Your AI agent may run slowly and cost more due to poorly written or bloated context files. Auditing these files identifies verbose instructions and redundant information, leading to faster and cheaper AI responses.
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