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self-improving-loop

Analyze production traces and generate PR drafts for AI agent improvements.

18|4|Updated Apr 29, 2026
Search Tags:#quality assurance#skill modification#AI agent improvement#production trace analysis#PR draft generation
One-click install
npx skills add https://github.com/aws-samples/sample-oh-my-aidlcops --skill self-improving-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-improving-loop
Source: https://github.com/aws-samples/sample-oh-my-aidlcops/tree/main/plugins/agenticops/skills/self-improving-loop
Command: npx skills add https://github.com/aws-samples/sample-oh-my-aidlcops --skill self-improving-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires langfuse, prometheus, cloudwatch, github-cli, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automatically observes production traces, analyzes patterns of quality regression, cost overruns, and failures, and suggests improvements via PR draft.

Core Features & Use Cases

  • Production Trace Analysis: Observes and analyzes production traces for quality regression, cost overruns, and failure patterns.
  • Automatic PR Suggestion: Generates PR draft proposals for prompt and skill modifications based on the analysis.
  • Use Case: If an agent or skill shows a performance regression, this Skill can automatically detect the issue and propose a solution in the form of a PR draft.

Quick Start

Use the self-improving-loop skill with the target agent or skill you want to analyze.

Frequently Asked Questions about self-improving-loop

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

FAQPage Schema
How do I automate production trace analysis to detect AI agent performance regressions?▼

Automated production trace analysis observes Langfuse trace data to detect AI agent performance regressions by identifying quality degradation, cost overruns, and failure patterns.

Can I automatically generate GitHub PR drafts for prompt modifications based on observability data?▼

Yes, you can automatically generate GitHub PR drafts for prompt and skill modifications based on observability data, requiring GitHub write access authorization and specific MCP servers to propose solutions.

Do I need Langfuse and Prometheus configured to analyze AI agent quality and safety metrics?▼

Yes, you need Langfuse and Prometheus configured alongside CloudWatch to analyze AI agent quality, cost, and safety metrics, as these observability tools provide the required production trace data.

What is the best way to suggest improvements for AI agents showing cost overruns in production?▼

The best way to suggest improvements for AI agents showing cost overruns is analyzing production traces to detect the issue and automatically proposing a solution in the form of a PR draft.

Why does automated PR generation for skill modification require specific MCP servers?▼

Automated PR generation for skill modification requires specific MCP servers and GitHub write access to securely authorize the creation of PR draft proposals directly within the repository workflow.

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