orchestrating-work

name: orchestrating-work description: Use when facing a task that could benefit from parallel work - decides whether to use subagents or agent teams, then composes the right team from the role pool based on task analysis

Orchestrating Work: Subagent vs Agent Team

Overview

Route tasks to the cheapest effective execution mode. Default to subagents. Escalate to teams only when inter-agent communication is genuinely needed.

Core principle: Start cheap (subagent), escalate only with clear signals (team).

Decision Framework

digraph decision {
    "Task arrives" [shape=box];
    "Single focused task?" [shape=diamond];
    "Subagent" [shape=box style=filled fillcolor=lightgreen];
    "2+ independent tasks?" [shape=diamond];
    "Parallel subagents" [shape=box style=filled fillcolor=lightgreen];
    "Need inter-agent communication?" [shape=diamond];
    "Agent Team" [shape=box style=filled fillcolor=lightyellow];
    "Which pattern?" [shape=diamond];

    "Task arrives" -> "Single focused task?";
    "Single focused task?" -> "Subagent" [label="yes"];
    "Single focused task?" -> "2+ independent tasks?" [label="no"];
    "2+ independent tasks?" -> "Parallel subagents" [label="yes, no shared state"];
    "2+ independent tasks?" -> "Need inter-agent communication?" [label="depends"];
    "Need inter-agent communication?" -> "Agent Team" [label="yes"];
    "Need inter-agent communication?" -> "Parallel subagents" [label="no"];
    "Agent Team" -> "Which pattern?";
}

Use Subagent When

• Task is self-contained, only the result matters
• Research a question, verify a claim, review a file
• No need for workers to talk to each other
• Token budget is a concern

Use Parallel Subagents When

• 2+ independent tasks with no shared state
• Each can be understood without context from others
• Results don't contradict or need debate

Subagent Dispatch Guide

When routing to subagents, you MUST choose the right subagent_type and mode based on whether the task requires code modification.

Subagent Permission Matrix

Critical: Read-only tasks use Explore (faster, cheaper). Code-modification tasks MUST use general-purpose (has Edit, Write, Bash tools).

Dispatch Examples

Read-only subagent (research):

Task tool:
  subagent_type: Explore
  description: "Investigate auth module"
  prompt: |
    You are a researcher. Investigate the authentication module at src/auth/.
    Find: how tokens are handled, where sessions are stored, any security gaps.
    Report findings with file:line references and confidence levels.
    DO NOT modify any files.

Code-modifying subagent (implement):

Task tool:
  subagent_type: general-purpose
  description: "Implement user profile endpoint"
  prompt: |
    You are an implementer. Build the user profile API endpoint.

    Requirements:
    - GET /api/profile/:id returns user profile
    - Include validation and error handling
    - Write tests

    File ownership: only edit files in src/api/profile/ and tests/api/profile/
    Commit your changes when done.
    Report: files changed, tests passing, any concerns.

Parallel subagents (mixed read/write):

# Subagent 1: read-only research
Task tool (Explore): "Investigate why login is slow"

# Subagent 2: code modification
Task tool (general-purpose): "Fix the N+1 query in user list endpoint"

# Subagent 3: code modification
Task tool (general-purpose): "Add input validation to signup form"

File Ownership for Parallel Subagents

When dispatching multiple code-modifying subagents in parallel, you MUST assign non-overlapping file ownership to prevent conflicts:

Subagent A owns: src/api/users/    tests/api/users/
Subagent B owns: src/api/orders/   tests/api/orders/
Subagent C owns: src/components/   tests/components/

Rule: NO subagent edits files outside its assigned scope.
Include this constraint explicitly in the dispatch prompt.

Subagent Output → Next Action

After subagent returns:

• Read-only subagent: Synthesize findings, decide next step
• Code-modifying subagent: Verify changes (run tests), review diff
• Multiple subagents returned: Check for file conflicts before proceeding
• Subagent failed: Dispatch a fix subagent with specific instructions, or escalate to team if problem requires coordination

Use Agent Team When (Escalation Signals)

• Subagent results contradict each other and need debate
• Workers need to share findings and challenge each other
• Task requires ongoing coordination, not one-shot results
• Multiple competing hypotheses need adversarial testing
• Cross-layer work (FE/BE/test) needs integration agent
• Context window filling up from parallel subagent results

Escalation Trigger: Subagent → Team

If you started with parallel subagents but encounter any of these:

1. Results contradict — need structured debate
2. Context overflow — too many results to synthesize
3. Workers need to coordinate — shared state emerging
4. Ongoing back-and-forth needed — not one-shot

→ Convert to agent team. This is the natural transition point.

Team Composition: The 10 Rules

Before launching any team, validate these rules derived from management theory:

Scenario → Team Pattern Routing

Role Pool (agents/)

Agents are organized by Belbin category:

Thinking roles:

• architect — Plant: creative solutions, system design
• reviewer — Monitor-Evaluator: critical evaluation, flaw detection
• researcher — Specialist: deep investigation, evidence gathering

Action roles:

• implementer — Implementer: translates plans to working code
• debugger — Shaper: hypothesis-driven debugging, root cause
• finisher — Completer-Finisher: edge cases, tests, polish

People roles:

• coordinator — Coordinator: team lead, task delegation, synthesis
• integrator — Teamworker: cross-module consistency, conflict resolution
• devil-advocate — Psychological safety: mandatory dissent, challenge assumptions

Team Sizing Guide

Pre-Launch Checklist (Hackman's 5 Conditions)

Before TeamCreate, verify:

1. Real Team — membership defined, roles assigned
2. Compelling Direction — clear goal statement, measurable outcome
3. Enabling Structure — task list with dependencies, communication channels
4. Supportive Context — all agents have required tools
5. Expert Coaching — lead agent designated with coordinator prompt

Lifecycle (Tuckman Mapping)

digraph lifecycle {
    rankdir=LR;
    "Forming" [shape=box label="Forming\nSpawn agents\nAssign roles"];
    "Storming" [shape=box label="Storming\nPlan debate\nDevil's advocate"];
    "Norming" [shape=box label="Norming\nPlan approved\nConventions locked"];
    "Performing" [shape=box label="Performing\nParallel execution\nTask list drives"];
    "Adjourning" [shape=box label="Adjourning\nVerify + Retro\nCleanup"];

    "Forming" -> "Storming" -> "Norming" -> "Performing" -> "Adjourning";
}

Stage gates:

• Forming → Storming: all agents spawned, context loaded
• Storming → Norming: at least one plan reviewed by devil-advocate
• Norming → Performing: plan approved by lead
• Performing → Adjourning: all tasks completed + verified
• Adjourning → Done: retrospective written to .claude.md, team cleaned up

Cost Awareness

Rule: If subagents can solve it, don't use a team. Teams are for when communication between workers adds genuine value.

Red Flags — You're Using Teams Wrong

• Team of 1 implementer + lead → just use a subagent
• All agents editing the same file → guaranteed conflicts
• No devil-advocate or reviewer → confirmation bias risk
• Lead doing implementation → enable delegate mode
• Adding agents to a stuck team → Brooks' Law violation
• No retrospective at end → losing learning opportunity

Integration

REQUIRED: Use team-orchestrator:session-reflection at session end to persist learnings.

Team pattern skills:

• team-orchestrator:research-and-review
• team-orchestrator:feature-development
• team-orchestrator:competing-hypotheses
• team-orchestrator:cross-layer-collaboration