隐私与广告选择
Git-Stars 会使用必要存储来保障网站运行。可选分析和广告测量脚本默认不加载，只有在你同意后，Google 等合作伙伴才可能按要求使用 Cookie 或类似标识符。 隐私政策
Delegate a coding task to a separate coding agent CLI, review the diff, land the commit yourself — one per implementer.
这个仓库详情页已经具备足够的原创分析、来源证据和同类对比，可以作为 Git-Stars 的可索引评测页。
100
评测分
解决的问题
It solves the problem of using multiple AI coding agents efficiently by organizing them into a fleet of lanes, preventing context-switching and tool fragmentation. It also addresses safety and control by ensuring the human reviews and commits all changes, and by providing read-only modes and fail-closed project configs.
部署现实
当前可用的安装信号是：npx skills add amElnagdy/delegate-skills。这只能作为起点，正式使用前建议让 Codex 或 Claude 检查 README、环境变量、运行时版本和部署目标。
商业可用性
当前记录的许可证是 MIT。这是重要的商业使用信号，但仍应核验许可证全文、依赖许可证、模型/API 条款和商标限制。
能力上限
Developers can build workflows where different coding tasks (features, tests, UI) are automatically routed to the best-suited agent CLI, with configurable models and effort. They can delegate one-off tasks directly, resume sessions, and enforce safety gates. The ceiling includes complex multi-agent pipelines with human oversight, but it's limited to tasks that CLIs can perform in a repo.
Git-Stars 是独立产品，不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成，依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。
amElnagdy/delegate-skills 被追踪为 JavaScript 项目，主要属于 AI Agent, Developer Tool, Automation 方向。这个评估结合公开 GitHub 元数据、分类信号、短来源摘要和 Git-Stars 编辑规则，而不是复制项目文档。
增长检查：该仓库目前有 1.0k Star，今日 +0，本周 +278，本月 +0。这些窗口用于区分持续采用信号和短期曝光峰值。
维护检查：当前活跃度为 一般；最近一次推送距今 62 天，未关闭 Issue 为 17，约占总 Star 的 1.69%。这只是采用信号，不替代工程尽调。
采用检查：105 Fork 和 1.0k Watcher 反映项目被复用和关注的程度。许可证信号：MIT。商业或内部使用前请核验许可证兼容性。
适用判断：当你需要「JavaScript 技术栈团队评估生态原生工具」时，这个项目更值得评估；如果「需要法律审查、安全审计或生产 SLA 保证」，则需要谨慎。
来源检查：Git-Stars 当前为这份报告保留了 2 个明确来源引用，近期增长信号为 278。最终安装、安全和版本信息仍应以原始 GitHub 仓库为准。
原创分析
充分已经具备问题、能力和结论层面的原创判断。
来源
充分已附带仓库元数据和 README/来源引用。
许可证
充分已记录 MIT，可作为评估依据。
维护
充分仓库元数据中可以看到近期活跃信号。
同类对比
充分已有足够相近项目用于对比。
热度
1.0k 星标
复用
105 复刻
关注
1.0k 关注者
维护
moderate
许可证
MIT
未解决 Issue
17
delegate-skills is a collection of skills that lets you create a fleet of implementer CLIs (like Codex, Cursor, Aider) on your machine, organize them into named lanes (e.g., feature, tests, ui), and delegate work to them while keeping review and commit control. It supports both fleet-based delegation via setup and direct delegation to a specific implementer.
核心特性
- Create a fleet of implementer CLIs with named lanes and optional dials (model, effort, variant). - Delegate directly to a specific implementer (e.g., Codex, Cursor, Aider) with read-only or resume options. - Supports multiple implementers (Aider, Claude Code, Cline, Codex, Cursor, Grok, Kimi, OpenCode, Pi, Qoder, Vibe) with per-skill documentation.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
Developer Tool
Tools that improve coding, testing, build, and local workflow
Automation
Workflow automation, integration glue, and orchestration
npx skills add amElnagdy/delegate-skills63
健康评分
一般
提交活跃度
Jun 14, 2026
创建于
Aug 12, 2026
最近提交
每日同步积累数据后，Star 历史将在此显示。
复刻
未解决
关注者
amElnagdy
GitHub 主页codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
nilbuild/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
obra/superpowers
An agentic skills framework & software development methodology that works.
react/react
The library for web and native user interfaces.
✓
许可证
✓
Fork 情况
~ 一般
维护情况
解决的问题
It solves the problem of using multiple AI coding agents efficiently by organizing them into a fleet of lanes, preventing context-switching and tool fragmentation. It also addresses safety and control by ensuring the human reviews and commits all changes, and by providing read-only modes and fail-closed project configs.
能力范围
Developers can build workflows where different coding tasks (features, tests, UI) are automatically routed to the best-suited agent CLI, with configurable models and effort. They can delegate one-off tasks directly, resume sessions, and enforce safety gates. The ceiling includes complex multi-agent pipelines with human oversight, but it's limited to tasks that CLIs can perform in a repo.
结论
This is for developers who use multiple AI coding agents and want a structured, safe way to delegate tasks while retaining control. Avoid it if you prefer a single-agent workflow or need fully autonomous execution. The trade-off is added setup complexity for better agent selection and human-in-the-loop safety.