agent-environment-optimizer
OfficialOptimize agent startup environment for speed.
System Documentation
What problem does it solve?
Audit an agent's execution environment for cold-start patterns, missing warm caches, stale dependencies, and session persistence gaps. Scores against best practices from OpenAI Hosted Shell and METR research showing unoptimized environments negate AI productivity gains. Use when the user says "optimize agent environment", "cold start audit", "agent environment check", "why is my agent slow to start", "warm cache audit", "session persistence check", or wants to speed up agent execution by fixing the environment layer.
Core Features & Use Cases
- Phase-driven evaluation of runtime, caching, and session strategies to surface bottlenecks.
- Actionable remediation guidance aligned with industry best practices for agent environments.
- Automated readiness scoring to track improvements over time.
Quick Start
Follow the audit protocol to identify cold-start patterns and implement improvements for faster agent startups.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-environment-optimizer Download link: https://github.com/m2ai-portfolio/m2ai-skills-pack/archive/main.zip#agent-environment-optimizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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