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optimizer

Analyzes Rocket.Chat conversations and generates JSON and Markdown summaries with optional ChatGPT-powered insights.

1.2k|123|Updated Mar 14, 2025
Search Tags:#code analysis#refactoring#system prompt#AST#agent optimization#tool configuration
One-click install
npx skills add https://github.com/inclusionAI/AWorld --skill optimizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: optimizer
Source: https://github.com/inclusionAI/AWorld/tree/main/aworld-cli/src/aworld_cli/inner_plugins/smllc/skills/optimizer
Command: npx skills add https://github.com/inclusionAI/AWorld --skill optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses issues in existing AI agents by analyzing their code and applying targeted optimizations to improve performance, security, and functionality.

Core Features & Use Cases

  • Code Analysis: Uses Abstract Syntax Tree (AST) to deeply inspect agent code, system prompts, and tool configurations.
  • Automated Patching: Generates and applies code modifications to fix bugs, enhance capabilities, or refine agent behavior.
  • Use Case: An agent is failing to use a new tool correctly. The Optimizer Skill analyzes the agent's mcp_config.py and system prompt, identifies the missing tool configuration, and automatically adds it to enable the agent's new capability.

Quick Start

Use the optimizer skill to analyze and improve the agent located at '/path/to/target/agent'.

Frequently Asked Questions about optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize an AI agent's system prompt and tool configuration?▼

AST analysis inspects the abstract syntax tree of agent code to deeply examine system prompts and tool configurations. This mechanism identifies structural issues and capability gaps to target automated code patches for agent optimization.

Why does my agent fail to use a new tool correctly after configuration updates?▼

An agent fails to use new tools correctly when its mcp_config.py and system prompt lack the proper configuration. The optimizer Skill analyzes these files and automatically generates patches to add missing tool configurations and restore functionality.

What is the best way to automatically patch AI agent code for behavioral issues?▼

The best way to automatically patch AI agent code for behavioral issues is using an optimization Skill that applies AST analysis to inspect system prompts and generates targeted code modifications to enhance agent performance and functionality.

Do I need a specific directory path to analyze and improve my agent code?▼

Yes, you need to provide a specific directory path pointing to your target agent. The optimizer Skill analyzes the agent code located at the provided path and applies automated patches to improve its performance and security.

Can I use automated refactoring to fix security and performance issues in existing agents?▼

Yes, you can use automated refactoring to fix security and performance issues in existing agents. The optimizer Skill analyzes the existing agent code and applies targeted patches to directly address and resolve these specific issues.

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