ag-melhorar-agentes

Name: ag-melhorar-agentes
Availability: InStock
Author: andregusman-raiz

Identify failure patterns in agent reports and propose prompt improvements.

19|4|Updated Mar 7, 2026

Search Tags:#agents #diagnostics #improvement #prompts #analyze #prompt-engineering

Ready to run

npx skills add https://github.com/andregusman-raiz/a-gusman-claude --skill ag-melhorar-agentes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ag-melhorar-agentes
Source: https://github.com/andregusman-raiz/a-gusman-claude/tree/main/skills/ag-melhorar-agentes
Command: npx skills add https://github.com/andregusman-raiz/a-gusman-claude --skill ag-melhorar-agentes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

O Meta-Agente analisa relatórios de outros agentes, identifica padrões de falha e propõe melhorias nos prompts para fortalecer o ecossistema e aumentar a robustez das respostas.

Core Features & Use Cases

Identifica padrões de falha nos agentes a partir de relatórios e orienta melhorias de prompts.
Propõe melhorias de prompts com base em evidências coletadas nos relatórios e validações de execução.
Integra o fluxo de ag-criar-skill para validação, registro de evidências e iteração automatizada.

Quick Start

Solicite ao sistema para analisar relatórios de todos os agentes, identificar padrões de falha e propor melhorias nos prompts.

Frequently Asked Questions about ag-melhorar-agentes

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

FAQPage Schema

How do I identify failure patterns in AI agents and improve their prompts?▼

To identify failure patterns in AI agents and improve their prompts, you analyze agent reports to detect recurring issues and propose evidence-based prompt modifications. This diagnostic process strengthens the agent ecosystem and increases response robustness.

What is the best way to diagnose agent performance issues across a full ecosystem?▼

Diagnosing agent performance issues across a full ecosystem involves running a system-wide panorama analysis on collected execution reports. This approach identifies broad failure patterns and enables per-agent diagnostics for targeted prompt improvements.

Can I justify prompt improvements using evidence from agent reports?▼

Yes, you can justify prompt improvements using evidence from agent reports by cross-referencing failure patterns with execution validations. This evidence-based approach documents risks and ensures proposed prompt changes are grounded in actual performance data.

How do I integrate agent prompt improvements with an automated skill creation workflow?▼

You integrate agent prompt improvements with a skill creation workflow by connecting the diagnostic outputs to the creation pipeline. This enables automated validation, evidence registration, and iterative prompt refinement within the established framework.

Does agent diagnostic analysis work without specific dependency components?▼

Agent diagnostic analysis works without specific dependency components because it operates as an advanced internal reasoning process. It directly ingests agent reports and outputs improvement proposals without requiring external modules.

Why do my agents fail consistently, and how can prompt engineering fix them?▼

Agents fail consistently due to underlying prompt deficiencies identified through diagnostic analysis of execution reports. Prompt engineering addresses this by proposing targeted, evidence-based improvements to fortify the prompts and resolve the recurring failure patterns.