Token导航 LogoToken导航

Agent Skill · 研究检索

subagent-driven-development(子 Agent 驱动开发)

subagent-driven-development 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

subagent-driven-development 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 37,555。

总安装 1,714周安装 70GitHub Stars 2下载 554核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:subagent-driven-development(子 Agent 驱动开发)
来源仓库:https://github.com/izyanrajwani/agent-skills-library
仓库路径:skills/subagent-driven-development
安装命令:
npx skills add https://github.com/izyanrajwani/agent-skills-library --skill subagent-driven-development
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/izyanrajwani/agent-skills-library --skill subagent-driven-development

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

subagent-driven-development 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。适用于需要围绕仓库状态、代码变更或协作事项进行整理的任务场景。

核心能力包括信息检索、候选结果筛选和相关内容查找。通过 npx skills add 命令从指定 GitHub 仓库安装使用。安装前建议确认权限范围、维护状态,以及是否会触发联网或文件读写操作。

来源仓库内路径:skills/subagent-driven-development

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/izyanrajwani/agent-skills-library --skill suba…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

subagent-driven-development 怎么安装?

在终端执行 npx skills add https://github.com/izyanrajwani/agent-skills-library --skill subagent-drive…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

subagent-driven-development 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

subagent-driven-development 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

subagent-driven-development 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

subagent-driven-development 用的人多吗?

公开数据是累计安装 1,714 次,近一周安装 70 次,下载 554 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

subagent-driven-development 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
subagent-driven-development

子 Agent 驱动开发 · 本页

1,7142只读MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Subagent-Driven Development

Dispatch fresh subagent per task with two-stage review after each.

Core principle: Fresh subagent per task + two-stage review (spec then quality) + diff-based validation = high quality, fast iteration

Quick Reference

PhaseActorActionExit Condition
1ControllerRead plan, extract tasks, capture BASE_SHA, create task listAll tasks tracked with BASE_SHA
2SubagentImplement (templates/implementer.md)Commit exists + tests pass + report includes HEAD_SHA
3SubagentSpec review (templates/spec-reviewer.md)Reviewer checked diff(BASE..HEAD) and returned ✅ or file:line issues
4SubagentQuality review (templates/code-quality-reviewer.md)Reviewer approved diff or returned severity-tagged issues
5ControllerUpdate state, mark complete, loop to step 2All tasks done
6SubagentFinal review of entire implementationApproved
7ControllerUse finishing-a-development-branchBranch complete

Task Contract

Every task must satisfy these constraints:

Scope:

  • One task = one commit (or tight commit stack)
  • No drive-by refactors; no formatting churn
  • No unrelated file changes

Verification:

  • All tests pass (run full suite or affected subset)
  • Lint/typecheck pass (if applicable)
  • Commands actually executed (not assumed)

Report must include:

  • BASE_SHA (from controller)
  • HEAD_SHA (after commit)
  • Commands run (exact, copy-pasteable)
  • Test output summary (pass/fail + counts)
  • Files changed (list)
  • Scope confirmation ("No unrelated changes")

State Tracking

Controller maintains per-task record:

{
  task_id: string,
  base_sha: string,      # Captured before implementer starts
  head_sha: string,      # From implementer report after commit
  status: pending|in_progress|spec_review|quality_review|complete,
  spec_review_cycles: number,
  quality_review_cycles: number
}

Update state after each phase transition.

Process

Setup (Once)

  1. Read plan file once
  2. Extract all tasks with full text and context
  3. Capture current HEAD as BASE_SHA for first task
  4. Create task list with all tasks (status: pending)

Per Task Loop

  1. Record BASE_SHA for this task (current HEAD)
  2. Dispatch implementer with full task text + context + BASE_SHA
  3. If questions: Answer completely, re-dispatch with answers
  4. Implementer completes: implements, tests, commits, reports HEAD_SHA
  5. Update state: Record HEAD_SHA, set status to spec_review
  6. Dispatch spec reviewer with task requirements + diff(BASE_SHA..HEAD_SHA)
  7. If spec issues: Implementer fixes → spec reviewer re-reviews → increment cycle count → repeat until ✅
  8. Update state: Set status to quality_review
  9. Dispatch code quality reviewer with BASE_SHA, HEAD_SHA
  10. If quality issues: Implementer fixes → quality reviewer re-reviews → increment cycle count → repeat until ✅
  11. Update state: Set status to complete, BASE_SHA for next task = current HEAD_SHA

Completion

  1. Dispatch final code reviewer for entire implementation (first BASE_SHA to final HEAD_SHA)
  2. Use finishing-a-development-branch skill

Prompt Templates

  • templates/implementer.md — Implementation subagent
  • templates/spec-reviewer.md — Spec compliance verification (diff-based)
  • templates/code-quality-reviewer.md — Code quality assessment (diff-based)

See references/example-workflow.md for complete walkthrough with SHA tracking.

Red Flags

Never:

  • Skip reviews (spec compliance OR code quality)
  • Proceed with unfixed issues
  • Dispatch parallel implementers in same working tree (conflicts)
  • Make subagent read plan file (provide full text)
  • Skip BASE_SHA/HEAD_SHA tracking
  • Let reviewers assess "the repo" instead of the specific diff
  • Accept reports without required fields (SHA, commands, test output)

Parallel clarification: "Parallel sessions" (separate branches/worktrees) is fine via executing-plans. "Parallel implementers" touching same working tree is forbidden.

If subagent asks questions: Answer clearly and completely before they proceed.

If reviewer finds issues: Implementer fixes → reviewer re-reviews specific diff → repeat until approved.

If implementer discovers required refactor: Stop, report to controller, request plan amendment. Don't bulldoze.

Dependencies

Requires: writing-plans (creates the plan)

Subagents use: test-driven-development, requesting-code-review (template)

Completes with: finishing-a-development-branch

Alternative: executing-plans (for parallel sessions/branches, not parallel implementers)

Environment notes: This skill assumes availability of: git (for SHA tracking), a task list tool (TodoWrite or equivalent), and ability to dispatch subagents. Adapt tool names to your environment.

平台分布

Claude Code

32.27%
按下载量换算179

OpenCode

21.58%
按下载量换算120

windsurf

16.83%
按下载量换算93

Codex

14.45%
按下载量换算80

github-copilot

8.38%
按下载量换算46

Antigravity

3.88%
按下载量换算21

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

继续浏览同类 Skills