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self-improve

Review agent logs, identify issues, and apply fixes via pull requests.

Updated Jul 16, 2026
Search Tags:#log analysis#ai optimization#performance audit#code improvement#issue resolution
One-click install
npx skills add https://github.com/enuno/noesis-aeon --skill self-improve-enuno
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-improve
Source: https://github.com/enuno/noesis-aeon/tree/main/skills/self-improve
Command: npx skills add https://github.com/enuno/noesis-aeon --skill self-improve-enuno

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need for continuous improvement and performance auditing of an AI agent, ensuring its effectiveness and reliability over time.

Core Features & Use Cases

  • Improve Mode: Identifies and resolves the highest-impact issues from recent logs, applying fixes via Pull Requests.
  • Audit Mode: Reviews agent performance, identifies issues, and proposes improvements.
  • Use Case: Regularly use this Skill to maintain and enhance the AI agent's capabilities, ensuring it performs optimally across various tasks.

Quick Start

Run the self-improve skill with the 'improve' mode to find and fix critical issues.

Frequently Asked Questions about self-improve

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

FAQPage Schema
How do I audit AI agent performance using logs?▼

You can audit AI agent performance by running the audit mode to review logs, identify issues, and propose improvements for enhancing agent effectiveness and reliability.

What is the best way to automatically fix AI agent issues from recent logs?▼

The best way to automatically fix AI agent issues is using the improve mode, which identifies the highest-impact problems from recent logs and applies fixes via Pull Requests.

How does an AI performance audit work for continuous improvement?▼

An AI performance audit works by systematically reviewing operational logs to detect performance degradation, resolving identified issues, and applying fixes to ensure continuous agent effectiveness.

Can I use log analysis to apply code improvements via pull requests?▼

Yes, you can use log analysis to apply code improvements via pull requests by running the dedicated improvement mode to resolve critical issues found in recent agent logs.

Do I need any external dependencies to run an AI performance audit?▼

No external dependencies are required to run an AI performance audit, as the skill operates independently using its internal scripts and references to review logs and propose improvements.

When should I use audit mode instead of improve mode for issue resolution?▼

You should use audit mode when you only need to review agent performance and propose improvements, whereas improve mode actively applies fixes via Pull Requests for critical log issues.

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