agent-orchestration-improve-agent

仓库创建 2026年1月15日最近提交 3 小时前SkillHot 收录 3 小时前

▸ 精选理由

数据驱动流程，适合持续改进的代理产品。

这个 Skill 做什么

通过性能指标、用户反馈与提示工程系统化改进代理表现。

通过性能指标、用户反馈和 prompt engineering 系统化地提升已有 agent 的表现。用在需要把 agent 从可用变优秀时，会做数据驱动的评估、定位失败场景并迭代提示和策略。特点是把优化当成持续流程，结合量化指标与实测反馈反复打磨。

▸ 展开 SKILL.md 英文原文

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Skill 开发管理性能优化提示工程持续迭代通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/skills/agent-orchestration-improve-agent/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/skills/agent-orchestration-improve-agent/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Agent Performance Optimization Workflow

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

[Extended thinking: Agent optimization requires a data-driven approach combining performance metrics, user feedback analysis, and advanced prompt engineering techniques. Success depends on systematic evaluation, targeted improvements, and rigorous testing with rollback capabilities for production safety.]

## Use this skill when

- Improving an existing agent's performance or reliability
- Analyzing failure modes, prompt quality, or tool usage
- Running structured A/B tests or evaluation suites
- Designing iterative optimization wor

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