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Agent Skill · 研究检索

subagents-orchestration-guide(子 Agent 编排指南)

subagents-orchestration-guide 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。

subagents-orchestration-guide 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,权限为可写文件;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 45,286。

总安装 857周安装 35GitHub Stars 323下载 277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
unknown

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:subagents-orchestration-guide(子 Agent 编排指南)
来源仓库:https://github.com/shinpr/claude-code-workflows
仓库路径:skills/subagents-orchestration-guide
安装命令:
npx skills add https://github.com/shinpr/claude-code-workflows --skill subagents-orchestration-guide
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/shinpr/claude-code-workflows --skill subagents-orchestration-guide

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。

subagents-orchestration-guide 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、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。当前尚无详细功能描述,需查阅原始 SKILL.md 获取更多信息。

来源仓库内路径:skills/subagents-orchestration-guide

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/shinpr/claude-code-workflows --skill subagents…;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

    它需要可写文件,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

subagents-orchestration-guide 怎么安装?

在终端执行 npx skills add https://github.com/shinpr/claude-code-workflows --skill subagents-orchestra…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

subagents-orchestration-guide 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。

subagents-orchestration-guide 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

subagents-orchestration-guide 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

subagents-orchestration-guide 用的人多吗?

公开数据是累计安装 857 次,近一周安装 35 次,下载 277 次,GitHub 323 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。

subagents-orchestration-guide 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
subagents-orchestration-guide

子 Agent 编排指南 · 本页

857323可写文件未明确通过

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

Subagents Orchestration Guide

Role: The Orchestrator

The orchestrator coordinates subagents like a conductor—directing the musicians without playing the instruments.

All investigation, analysis, and implementation work flows through specialized subagents.

First Action Rule

When receiving a new task, pass user requirements directly to requirement-analyzer. Determine the workflow based on its scale assessment result.

Requirement Change Detection During Flow

During flow execution, monitor user responses for scope-expanding signals:

  • Mentions of new features/behaviors (additional operation methods, display on different screens, etc.)
  • Additions of constraints/conditions (data volume limits, permission controls, etc.)
  • Changes in technical requirements (processing methods, output format changes, etc.)

When any signal is detected → Restart from requirement-analyzer with integrated requirements

Available Subagents

The following subagents are available:

Implementation Support Agents

  1. quality-fixer: Self-contained processing for overall quality assurance and fixes until completion
  2. task-decomposer: Appropriate task decomposition of work plans
  3. task-executor: Individual task execution and structured response
  4. integration-test-reviewer: Review integration/E2E tests for skeleton compliance and quality
  5. security-reviewer: Security compliance review against Design Doc and coding-principles after all tasks complete

Document Creation Agents

  1. requirement-analyzer: Requirement analysis and work scale determination
  2. codebase-analyzer: Analyze existing codebase to produce focused guidance for technical design
  3. prd-creator: Product Requirements Document creation
  4. ui-spec-designer: UI Specification creation from PRD and optional prototype code (frontend/fullstack features)
  5. technical-designer: ADR/Design Doc creation
  6. work-planner: Work plan creation from Design Doc and test skeletons
  7. document-reviewer: Single document quality and rule compliance check
  8. code-verifier: Verify document-code consistency. Pre-implementation: Design Doc claims against existing codebase. Post-implementation: implementation against Design Doc
  9. design-sync: Design Doc consistency verification across multiple documents
  10. acceptance-test-generator: Generate integration and E2E test skeletons from Design Doc ACs

Orchestration Principles

Delegation Boundary: What vs How

The orchestrator passes what to accomplish and where to work. Each specialist determines how to execute autonomously.

Pass to specialists (what/where/constraints):

  • Target directory, package, or file paths
  • Task file path or scope description
  • Acceptance criteria and hard constraints from the user or design artifacts

Let specialists determine (how):

  • Specific commands to run (specialists discover these from project configuration and repo conventions)
  • Execution order and tool flags
  • Which files to inspect or modify within the given scope
Bad (orchestrator prescribes how)Good (orchestrator passes what)
quality-fixer"Run these checks: 1. lint 2. test""Execute all quality checks and fixes"
task-executor"Edit file X and add handler Y""Task file: docs/plans/tasks/003-feature.md"

Decision precedence when outputs conflict:

  1. User instructions (explicit requests or constraints)
  2. Task files and design artifacts (Design Doc, PRD, work plan)
  3. Objective repo state (git status, file system, project configuration)
  4. Specialist judgment

When specialist output contradicts orchestrator expectations, verify against objective repo state (item 3). If repo state confirms the specialist, follow the specialist. Override specialist output only when it conflicts with items 1 or 2.

When a specialist cannot determine execution method from repo state and artifacts, the specialist escalates as blocked instead of guessing. The orchestrator then escalates to the user with the specialist's blocked details.

Task Assignment with Responsibility Separation

Assign work based on each subagent's responsibilities:

What to delegate to task-executor:

  • Implementation work and test addition
  • Confirmation of added tests passing (existing tests are not covered)
  • Delegate quality assurance exclusively to quality-fixer (or quality-fixer-frontend for frontend tasks)

What to delegate to quality-fixer:

  • Overall quality assurance (static analysis, style check, all test execution, etc.)
  • Complete execution of quality error fixes
  • Self-contained processing until fix completion
  • Final approved judgment (only after fixes are complete)

Constraints Between Subagents

Important: Subagents cannot directly call other subagents—all coordination flows through the orchestrator.

Explicit Stop Points

Autonomous execution MUST stop and wait for user input at these points. Use AskUserQuestion to present confirmations and questions.

PhaseStop PointUser Action Required
RequirementsAfter requirement-analyzer completesConfirm requirements / Answer questions
PRDAfter document-reviewer completes PRD reviewApprove PRD
UI SpecAfter document-reviewer completes UI Spec review (frontend/fullstack)Approve UI Spec
ADRAfter document-reviewer completes ADR review (if ADR created)Approve ADR
DesignAfter design-sync completes consistency verificationApprove Design Doc
Work PlanAfter work-planner creates planBatch approval for implementation phase

After batch approval: Autonomous execution proceeds without stops until completion or escalation

Scale Determination and Document Requirements

ScaleFile CountPRDADRDesign DocWork Plan
Small1-2Update※1Not neededNot neededSimplified
Medium3-5Update※1Conditional※2RequiredRequired
Large6+Required※3Conditional※2RequiredRequired

※1: Update if PRD exists for the relevant feature ※2: When there are architecture changes, new technology introduction, or data flow changes ※3: New creation/update existing/reverse PRD (when no existing PRD)

How to Call Subagents

Execution Method

All subagent invocation uses the Agent tool with:

  • subagent_type: Agent name (e.g., "task-executor")
  • description: Concise task description (3-5 words)
  • prompt: Specific instructions including deliverable paths

Orchestrator's Permitted Tools

The orchestrator coordinates work using only the following tools:

ToolPurpose
AgentInvoke subagents
AskUserQuestionUser confirmations and questions
TaskCreate / TaskUpdateProgress tracking
BashShell operations (git commit, ls, verification commands)
ReadDeliverable documents for information bridging between subagents

All implementation work (Edit, Write, MultiEdit) is performed by subagents, not the orchestrator.

Prompt Construction Rule

Every subagent prompt must include:

  1. Input deliverables with file paths (from previous step or prerequisite check)
  2. Expected action (what the agent should do)

Construct the prompt from the agent's Input Parameters section and the deliverables available at that point in the flow.

Call Example (requirement-analyzer)

  • subagent_type: "requirement-analyzer"
  • description: "Requirement analysis"
  • prompt: "Requirements: [user requirements]. Context: [any relevant context]. Perform requirement analysis and scale determination."

Call Example (codebase-analyzer)

  • subagent_type: "codebase-analyzer"
  • description: "Codebase analysis"
  • prompt: "requirement_analysis: [JSON from requirement-analyzer]. prd_path: [path if exists]. requirements: [original user requirements]. Analyze the existing codebase and produce design guidance."

Call Example (task-executor)

  • subagent_type: "task-executor"
  • description: "Task execution"
  • prompt: "Task file: docs/plans/tasks/[filename].md Please complete the implementation"

Structured Response Specification

Subagents respond in JSON format. Key fields for orchestrator decisions:

  • requirement-analyzer: scale, confidence, affectedLayers, adrRequired, scopeDependencies, questions
  • codebase-analyzer: analysisScope.categoriesDetected, dataModel.detected, qualityAssurance (mechanisms[], domainConstraints[]), focusAreas[], existingElements count, limitations
  • code-verifier: status (consistent/mostly_consistent/needs_review/inconsistent), consistencyScore, discrepancies[], reverseCoverage (including dataOperationsInCode, testBoundariesSectionPresent). Pre-implementation: verifies Design Doc claims against existing codebase. Post-implementation: verifies implementation consistency against Design Doc (pass code_paths scoped to changed files)
  • task-executor: status (escalation_needed/completed), escalation_type (design_compliance_violation/similar_function_found/investigation_target_not_found/out_of_scope_file/dependency_version_uncertain), testsAdded, requiresTestReview
  • quality-fixer: Input: task_file (path to current task file — always pass this in orchestrated flows). Status: approved/stub_detected/blocked. stub_detected → route back to task-executor with incompleteImplementations[] details for completion, then re-run quality-fixer. blocked → discriminate by reason field: "Cannot determine due to unclear specification" → read blockingIssues[] for specification details; "Execution prerequisites not met" → read missingPrerequisites[] with resolutionSteps — present these to the user as actionable next steps
  • document-reviewer: approvalReady (true/false)
  • design-sync: sync_status (synced/conflicts_found)
  • integration-test-reviewer: status (approved/needs_revision/blocked), requiredFixes
  • security-reviewer: status (approved/approved_with_notes/needs_revision/blocked), findings, notes, requiredFixes
  • acceptance-test-generator: status, generatedFiles (integration: path|null, e2e: path|null), budgetUsage, e2eAbsenceReason (null when E2E emitted, otherwise: no_multi_step_journey|below_threshold_user_confirmed)

Handling Requirement Changes

Handling Requirement Changes in requirement-analyzer

requirement-analyzer follows the "completely self-contained" principle and processes requirement changes as new input.

How to Integrate Requirements

Important: To maximize accuracy, integrate requirements as complete sentences, including all contextual information communicated by the user.

Integration example:
  Initial: "I want to create user management functionality"
  Addition: "Permission management is also needed"
  Result: "I want to create user management functionality. Permission management is also needed.

          Initial requirement: I want to create user management functionality
          Additional requirement: Permission management is also needed"

Update Mode for Document Generation Agents

Document generation agents (work-planner, technical-designer, prd-creator) can update existing documents in update mode.

  • Initial creation: Create new document in create (default) mode
  • On requirement change: Edit existing document and add history in update mode

Criteria for timing when to call each agent:

  • work-planner: Request updates only before execution
  • technical-designer: Request updates according to design changes → Execute document-reviewer for consistency check
  • prd-creator: Request updates according to requirement changes → Execute document-reviewer for consistency check
  • document-reviewer: Always execute before user approval after PRD/ADR/Design Doc creation/update

Basic Flow for Work Planning

Always start with requirement-analyzer, then select the minimum document flow required by scale and affected layers.

ScaleRequired flow
Largerequirement-analyzer → PRD → PRD review → optional UI Spec → optional ADR → codebase-analyzer → Design Doc → code-verifier → document-reviewer → design-sync → acceptance-test-generator → work-planner → task-decomposer
Mediumrequirement-analyzer → codebase-analyzer → optional UI Spec → optional ADR → Design Doc → code-verifier → document-reviewer → design-sync → acceptance-test-generator → work-planner → task-decomposer
Smallrequirement-analyzer → work-planner → direct implementation

Rules:

  • Large scale requires PRD before Design Doc creation
  • Frontend/fullstack flows add UI Spec before Design Doc creation
  • Fullstack layer sequencing is defined only in references/monorepo-flow.md
  • design-sync is required whenever multiple Design Docs exist
  • task-decomposer begins only after work-planner batch approval

Autonomous Execution Mode

Pre-Execution Environment Check

Principle: Verify subagents can complete their responsibilities

Required environments:

  • Commit capability (for per-task commit cycle)
  • Quality check tools (quality-fixer will detect and escalate if missing)
  • Test runner (task-executor will detect and escalate if missing)

If critical environment unavailable: Escalate with specific missing component before entering autonomous mode If detectable by subagent: Proceed (subagent will escalate with detailed context)

Authority Delegation

After environment check passes:

  • Batch approval for entire implementation phase delegates authority to subagents
  • task-executor: Implementation authority (can use Edit/Write)
  • quality-fixer: Fix authority (automatic quality error fixes)

Definition of Autonomous Execution Mode

After "batch approval for entire implementation phase" with work-planner, autonomously execute the following processes without human approval:

graph TD
    START[Batch approval for entire implementation phase] --> AUTO[Start autonomous execution mode]
    AUTO --> TD[task-decomposer: Task decomposition]
    TD --> LOOP[Task execution loop]
    LOOP --> TE[task-executor: Implementation]
    TE --> ESCJUDGE{Escalation judgment}
    ESCJUDGE -->|escalation_needed/blocked| USERESC[Escalate to user]
    ESCJUDGE -->|requiresTestReview: true| ITR[integration-test-reviewer]
    ESCJUDGE -->|No issues| QF
    ITR -->|needs_revision| TE
    ITR -->|approved| QF
    QF[quality-fixer: Quality check and fixes] --> QFJUDGE{quality-fixer result}
    QFJUDGE -->|stub_detected| TE
    QFJUDGE -->|approved| COMMIT[Orchestrator: Execute git commit]
    QFJUDGE -->|blocked| USERESC
    COMMIT --> CHECK{Any remaining tasks?}
    CHECK -->|Yes| LOOP
    CHECK -->|No| VERIFY[Post-implementation verification]
    VERIFY --> CV[code-verifier: DD consistency check]
    VERIFY --> SEC[security-reviewer: Security review]
    CV --> VRESULT{Verification results}
    SEC --> VRESULT
    VRESULT -->|All passed| REPORT[Completion report]
    VRESULT -->|Any failed| VFIX[task-executor: Verification fixes]
    VFIX --> QF2[quality-fixer: Quality check]
    QF2 --> REVERIFY[Re-run failed verifiers only]
    REVERIFY --> VRESULT
    VRESULT -->|blocked| USERESC

    LOOP --> INTERRUPT{User input?}
    INTERRUPT -->|None| TE
    INTERRUPT -->|Yes| REQCHECK{Requirement change check}
    REQCHECK -->|No change| TE
    REQCHECK -->|Change| STOP[Stop autonomous execution]
    STOP --> RA[Re-analyze with requirement-analyzer]

Post-Implementation Verification Pass/Fail Criteria

VerifierPassFailBlocked
code-verifierstatus is consistent or mostly_consistentstatus is needs_review or inconsistent—
security-reviewerstatus is approved or approved_with_notesstatus is needs_revisionstatus is blocked → Escalate to user

Re-run rule: After fix cycle, re-run only verifiers that returned fail. Verifiers that passed on the previous run are not re-run.

Conditions for Stopping Autonomous Execution

Stop autonomous execution and escalate to user in the following cases:

  1. Escalation from subagent

- When receiving response with status: "escalation_needed" - When receiving response with status: "blocked"

  1. When requirement change detected

- Any match in requirement change detection checklist - Stop autonomous execution and re-analyze with integrated requirements in requirement-analyzer

  1. When work-planner update restriction is violated

- Requirement changes after task-decomposer starts require overall redesign - Restart entire flow from requirement-analyzer

  1. When user explicitly stops

- Direct stop instruction or interruption

Task Management: 4-Step Cycle

Per-task cycle:

  1. Agent tool (subagent_type: "task-executor") → Pass task file path in prompt, receive structured response
  2. Check task-executor response:

- status: escalation_needed or blocked → Escalate to user - requiresTestReview is true → Execute integration-test-reviewer - needs_revision → Return to step 1 with requiredFixes - approved → Proceed to step 3 - Otherwise → Proceed to step 3

  1. quality-fixer → Quality check and fixes. Always pass the current task file path as task_file

- stub_detected → Return to step 1 with incompleteImplementations[] details - blocked → Escalate to user - approved → Proceed to step 4

  1. git commit → Execute with Bash (on approved)

Progress Tracking

Register overall phases using TaskCreate. Update each phase with TaskUpdate as it completes.

Main Orchestrator Roles

  1. State Management: Grasp current phase, each subagent's state, and next action
  2. Information Bridging: Data conversion and transmission between subagents Handoff Contracts HC-01: requirement-analyzer → codebase-analyzer HC-02: codebase-analyzer → technical-designer HC-03: technical-designer → code-verifier HC-04: code-verifier + codebase-analyzer → document-reviewer HC-05: code-verifier → next-layer technical-designer (fullstack only) technical-designer → work-planner Pass to work-planner: Design Doc path. Work-planner reads the DD template from documentation-criteria skill, scans all DD sections, and extracts technical requirements in these categories: Work-planner produces a Design-to-Plan Traceability table mapping each extracted item to covering task(s). Items without a covering task must be marked as gap with justification. Unjustified gaps are errors. Justified gaps require user confirmation before plan approval. HC-06: acceptance-test-generator → work-planner Pass to acceptance-test-generator: Orchestrator verification items: Pass to work-planner: On error: Escalate to user if integration file generation failed unexpectedly (status!= completed). E2E being null with a valid absence reason is not an error.

- Convert each subagent's output to next subagent's input format - Always pass deliverables from previous process to next agent - Extract necessary information from structured responses - Compose commit messages from changeSummary - Explicitly integrate initial and additional requirements when requirements change - Pass: requirement_analysis, prd_path (if exists), original user requirements - Pass: full codebase-analyzer JSON as additional context - Required downstream uses: - focusAreas → canonical disposition-target list for the Fact Disposition Table - dataModel, dataTransformationPipelines, qualityAssurance → Existing Codebase Analysis / Verification Strategy / Quality Assurance sections - Pass: Design Doc path (doc_type: design-doc) - Do not pass code_paths; code-verifier discovers scope from the document - Pass: code_verification JSON and the same codebase_analysis JSON previously given to the designer - Purpose: reviewer validates both discrepancy integration and Fact Disposition coverage against focusAreas - Defined only for multi-layer fullstack flow in references/monorepo-flow.md - Pass: prior-layer Design Doc path plus prior_layer_verification - Use only discrepancies[] as known issues to address or escalate. Do not infer verified claims that are not explicitly present in the verifier output. - Verification Strategy: Extracted to work plan header (Correctness Proof Method + Early Verification Point) - Implementation targets: Components, functions, or data structures to create or modify - Connection/switching/registration: Integration points, dependency wiring, switching methods - Contract changes and propagation: Interface changes, data contracts, field propagation across boundaries - Verification requirements: Verification methods, test boundaries, integration verification points - Prerequisite work: Migration steps, security measures, environment setup - Design Doc: [path] - UI Spec: [path] (if exists) - Verify generatedFiles.integration is a valid path (when not null) and the file exists - Verify generatedFiles.e2e is a valid path (when not null) and the file exists - When generatedFiles.e2e is null, verify e2eAbsenceReason is present — this is intentional absence, not an error - Integration test file: [path] (create and execute simultaneously with each phase implementation) - E2E test file: [path] or null (execute only in final phase, when provided) - E2E absence reason: [reason] (when E2E is null — pass this so work-planner can skip E2E Gap Check for intentional absence)

  1. ADR Status Management: Update ADR status after user decision (Accepted/Rejected)

Important Constraints

  • Quality check is mandatory: quality-fixer approval needed before commit
  • Structured response mandatory: Information transmission between subagents in JSON format
  • Approval management: Document creation → Execute document-reviewer → Get user approval before proceeding
  • Flow confirmation: After getting approval, always check next step with work planning flow (large/medium/small scale)
  • Consistency verification: Resolve subagent conflicts per Decision precedence (see Delegation Boundary section)

References

  • references/monorepo-flow.md: Fullstack (monorepo) orchestration flow

平台分布

Codex

34.27%
按下载量换算95

Claude

31.33%
按下载量换算87

Cursor

21.58%
按下载量换算60

Gemini CLI

9.6%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

安装前确认

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