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
- quality-fixer: Self-contained processing for overall quality assurance and fixes until completion
- task-decomposer: Appropriate task decomposition of work plans
- task-executor: Individual task execution and structured response
- integration-test-reviewer: Review integration/E2E tests for skeleton compliance and quality
- security-reviewer: Security compliance review against Design Doc and coding-principles after all tasks complete
Document Creation Agents
- requirement-analyzer: Requirement analysis and work scale determination
- codebase-analyzer: Analyze existing codebase to produce focused guidance for technical design
- prd-creator: Product Requirements Document creation
- ui-spec-designer: UI Specification creation from PRD and optional prototype code (frontend/fullstack features)
- technical-designer: ADR/Design Doc creation
- work-planner: Work plan creation from Design Doc and test skeletons
- document-reviewer: Single document quality and rule compliance check
- code-verifier: Verify document-code consistency. Pre-implementation: Design Doc claims against existing codebase. Post-implementation: implementation against Design Doc
- design-sync: Design Doc consistency verification across multiple documents
- 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:
- User instructions (explicit requests or constraints)
- Task files and design artifacts (Design Doc, PRD, work plan)
- Objective repo state (git status, file system, project configuration)
- 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.
| Phase | Stop Point | User Action Required | |-------|------------|---------------------| | Requirements | After requirement-analyzer completes | Confirm requirements / Answer questions | | PRD | After document-reviewer completes PRD review | Approve PRD | | UI Spec | After document-reviewer completes UI Spec review (frontend/fullstack) | Approve UI Spec | | ADR | After document-reviewer completes ADR review (if ADR created) | Approve ADR | | Design | After design-sync completes consistency verification | Approve Design Doc | | Work Plan | After work-planner creates plan | Batch approval for implementation phase |
After batch approval: Autonomous execution proceeds without stops until completion or escalation
Scale Determination and Document Requirements
| Scale | File Count | PRD | ADR | Design Doc | Work Plan | |-------|------------|-----|-----|------------|-----------| | Small | 1-2 | Update※1 | Not needed | Not needed | Simplified | | Medium | 3-5 | Update※1 | Conditional※2 | Required | Required | | Large | 6+ | Required※3 | Conditional※2 | Required | Required |
※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:
| Tool | Purpose | |------|---------| | Agent | Invoke subagents | | AskUserQuestion | User confirmations and questions | | TaskCreate / TaskUpdate | Progress tracking | | Bash | Shell operations (git commit, ls, verification commands) | | Read | Deliverable 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:
- Input deliverables with file paths (from previous step or prerequisite check)
- 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_pathsscoped 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 withincompleteImplementations[]details for completion, then re-run quality-fixer.blocked→ discriminate byreasonfield:"Cannot determine due to unclear specification"→ readblockingIssues[]for specification details;"Execution prerequisites not met"→ readmissingPrerequisites[]withresolutionSteps— 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
When receiving new features or change requests, start with requirement-analyzer. According to scale determination:
Large Scale (6+ Files) - 13 Steps (backend) / 15 Steps (frontend/fullstack)
- requirement-analyzer → Requirement analysis + Check existing PRD [Stop]
- prd-creator → PRD creation
- document-reviewer → PRD review [Stop: PRD Approval]
- (frontend/fullstack only) Ask user for prototype code → ui-spec-designer → UI Spec creation
- (frontend/fullstack only) document-reviewer → UI Spec review [Stop: UI Spec Approval]
- technical-designer → ADR creation (if architecture/technology/data flow changes)
- document-reviewer → ADR review (if ADR created) [Stop: ADR Approval]
- codebase-analyzer → Codebase analysis (pass requirement-analyzer output + PRD path)
- technical-designer → Design Doc creation (pass codebase-analyzer output as additional context)
- code-verifier → Verify Design Doc against existing code (doc_type: design-doc)
- document-reviewer → Design Doc review (pass code-verifier results as code_verification)
- design-sync → Consistency verification [Stop: Design Doc Approval]
- acceptance-test-generator → Test skeleton generation, pass to work-planner (*1)
- work-planner → Work plan creation [Stop: Batch approval]
- task-decomposer → Autonomous execution → Completion report
Medium Scale (3-5 Files) - 9 Steps (backend) / 11 Steps (frontend/fullstack)
- requirement-analyzer → Requirement analysis [Stop]
- codebase-analyzer → Codebase analysis (pass requirement-analyzer output)
- (frontend/fullstack only) Ask user for prototype code → ui-spec-designer → UI Spec creation
- (frontend/fullstack only) document-reviewer → UI Spec review [Stop: UI Spec Approval]
- technical-designer → Design Doc creation (pass codebase-analyzer output as additional context)
- code-verifier → Verify Design Doc against existing code (doc_type: design-doc)
- document-reviewer → Design Doc review (pass code-verifier results as code_verification)
- design-sync → Consistency verification [Stop: Design Doc Approval]
- acceptance-test-generator → Test skeleton generation, pass to work-planner (*1)
- work-planner → Work plan creation [Stop: Batch approval]
- task-decomposer → Autonomous execution → Completion report
Small Scale (1-2 Files) - 2 Steps
- work-planner → Simplified work plan creation [Stop: Batch approval]
- Direct implementation → Completion report
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
| Verifier | Pass | Fail | Blocked |
|----------|------|------|---------|
| code-verifier | status is consistent or mostly_consistent | status is needs_review or inconsistent | — |
| security-reviewer | status is approved or approved_with_notes | status is needs_revision | status 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:
-
Escalation from subagent
- When receiving response with
status: "escalation_needed" - When receiving response with
status: "blocked"
- When receiving response with
-
When requirement change detected
- Any match in requirement change detection checklist
- Stop autonomous execution and re-analyze with integrated requirements in requirement-analyzer
-
When work-planner update restriction is violated
- Requirement changes after task-decomposer starts require overall redesign
- Restart entire flow from requirement-analyzer
-
When user explicitly stops
- Direct stop instruction or interruption
Task Management: 4-Step Cycle
Per-task cycle:
- Agent tool (subagent_type: "task-executor") → Pass task file path in prompt, receive structured response
- Check task-executor response:
status: escalation_neededorblocked→ Escalate to userrequiresTestReviewistrue→ Execute integration-test-reviewerneeds_revision→ Return to step 1 withrequiredFixesapproved→ Proceed to step 3
- Otherwise → Proceed to step 3
- quality-fixer → Quality check and fixes. Always pass the current task file path as
task_filestub_detected→ Return to step 1 withincompleteImplementations[]detailsblocked→ Escalate to userapproved→ Proceed to step 4
- 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
-
State Management: Grasp current phase, each subagent's state, and next action
-
Information Bridging: Data conversion and transmission between subagents
- 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
codebase-analyzer → technical-designer
Pass to codebase-analyzer: requirement-analyzer JSON output, PRD path (if exists), original user requirements Pass to technical-designer: codebase-analyzer JSON output as additional context in the Design Doc creation prompt. The designer uses
focusAreas,dataModel,dataTransformationPipelines, andqualityAssuranceto inform the Existing Codebase Analysis, Verification Strategy, and Quality Assurance Mechanisms sections.code-verifier → document-reviewer (Design Doc review)
Pass to code-verifier: Design Doc path (doc_type: design-doc).
code_pathsis intentionally omitted — the verifier independently discovers code scope from the document. Pass to document-reviewer: code-verifier JSON output ascode_verificationparameter.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:
- 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
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
gapwith justification. Unjustified gaps are errors. Justified gaps require user confirmation before plan approval.*1 acceptance-test-generator → work-planner
Purpose: Prepare information for work-planner to incorporate into work plan
Pass to acceptance-test-generator:
- Design Doc: [path]
- UI Spec: [path] (if exists)
Orchestrator verification items:
- Verify
generatedFiles.integrationis a valid path (when not null) and the file exists - Verify
generatedFiles.e2eis a valid path (when not null) and the file exists - When
generatedFiles.e2eis null, verifye2eAbsenceReasonis present — this is intentional absence, not an error
Pass to work-planner:
- 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)
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.
-
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