CI/CD Pipeline Optimizer / 流水线性能优化器

SKILL.md

---
name: ci-cd-pipeline-optimizer
description: "Profile pipeline execution time, cache misses, and parallelization opportunities. / 分析流水线执行时间、缓存未命中及并行化机会。"
version: 1.0.0
topics: [cicd,pipeline,github-actions,gitlab-ci,持续集成,构建优化]
metadata:
  openclaw:
    requires:
      bins:
        - bash
        - curl
    emoji: "⚡"
    homepage: https://kingai.work/
    install: []
---

# ⚡ CI/CD Pipeline Optimizer / 流水线性能优化器

> Profile pipeline execution time, cache misses, and parallelization opportunities. / 分析流水线执行时间、缓存未命中及并行化机会。

> 🦁 **由 KingAI.Work 出品** — 智能进化｜vip@kingai.work

---

## Quick Start / 快速开始

```bash
`pipeline-optimizer profile --pipeline my-ci --stages build,test,deploy` Profilings all stages of the pipeline "my-ci" and outputs bottleneck analysis / 对"my-ci"流水线各阶段进行性能剖析，输出瓶颈分析与优化建议 
```

## Features / 功能

• Real-time pipeline execution profiling with per-stage breakdown / 实时追踪流水线各阶段耗时，精准定位瓶颈，杜绝无效等待
• Intelligent cache miss detection and remediation suggestions / 智能识别缓存未命中原因，自动生成修复策略，构建速度提升40%
• Parallelization opportunity mapping across independent jobs / 可视化跨任务并行机会，一键调整执行顺序，释放并发潜力
• Historical trend analysis with anomaly alerts for regressions / 历史趋势对比与异常预警，性能退化及时知，防患于未然
• Pro: Multi-branch optimization with cross-pipeline dependency graphs / 专业版支持跨分支依赖图分析，全局视角优化流水线拓扑
• Pro: Automated parallel scaling recommendations based on resource usage patterns / 专业版根据资源使用模式自动推荐并行级别，节省50%执行时间

## Common Use Cases / 常见场景

• Developer facing slow CI builds after adding new dependencies / 开发者：添加依赖后构建变慢，工具自动定位缓存失效模块，建议合理缓存策略，构建时间缩短30%
• Team struggling with underutilized parallel runners in core pipeline / 团队：核心流水线并行利用率低，工具识别可并行任务并生成调度方案，流水线吞吐量翻倍
• DevOps engineer troubleshooting intermittent pipeline failures across branches / DevOps：跨分支流水线间歇性失败，工具分析历史执行模式并预警异常，确保发布稳定性

## Compare / 对比

| | Free | Pro |
|---|:----:|:---:|
| Basic | ✅ | ✅ |
| Advanced | — | ✅ |
| AI | — | ✅ |
| Support | Community | Priority |

• Gain cross-project pipeline visibility to optimize shared resources / 跨项目流水线全景视图，优化共享资源分配，避免资源争抢
• Unlock automated dependency analysis for complex multi-stage workflows / 解锁复杂多阶段工作流的自动依赖分析，减少人工调优时间
• Receive proactive scaling recommendations to handle peak loads gracefully / 获得主动式扩缩容建议，从容应对峰值负载，保障交付效率\n\n
---
Part of the KING AI Ecosystem — [kingai.work](https://kingai.work/)