DavidROliverBA/orchestration-template

Sub-Agent Orchestration Template

This is a reference template for creating skills that use parallel sub-agents. It is NOT directly invocable - use it as a pattern when building new orchestrated skills.

When to Use This Pattern

Use sub-agent orchestration when:

• Task has 3+ independent research phases
• Each phase can run in parallel without dependencies
• Results need synthesis into a unified output
• Context isolation improves quality (prevents contamination)

Do NOT use when:

• Task is simple and linear
• Phases depend on each other sequentially
• Interactive dialogue is needed throughout

Orchestration Structure

Phase 1: Planning

1. TaskCreate for overall work item
2. Identify independent workstreams
3. Create sub-tasks for each workstream
4. Set dependencies with TaskUpdate (addBlockedBy)

Phase 2: Parallel Execution

Launch N agents in parallel using Task tool:

Task tool calls (in single message for parallelism):

Agent 1: subagent_type: "Explore", model: "haiku"

- Purpose: [specific research goal]
- Tools: Read, Glob, Grep (read-only)

Agent 2: subagent_type: "Explore", model: "haiku"

- Purpose: [different research goal]
- Tools: Read, Glob, Grep (read-only)

Agent 3: subagent_type: "general-purpose"

- Purpose: [complex analysis requiring writes]
- Tools: All available

Phase 3: Synthesis

1. Collect results from all agents
2. Identify conflicts or gaps
3. Generate unified output
4. Update tasks to completed

Model Selection for Sub-Agents

| Sub-Agent Purpose | Model | Rationale | | ---------------------------- | ------ | ----------------------------- | | Read-only search/exploration | Haiku | Fast, cheap, isolated context | | Analysis with context | Sonnet | Good reasoning | | Complex synthesis | Sonnet | Balanced cost/quality | | Deep architecture reasoning | Opus | Extended thinking needed |

Example: Parallel Research Pattern

## Phase 1: Create Tasks

TaskCreate: "Research API patterns"
TaskCreate: "Research database patterns"
TaskCreate: "Research auth patterns"
TaskCreate: "Synthesise findings" (blockedBy: above three)

## Phase 2: Launch Parallel Agents

[Single message with 3 Task tool calls]

Task 1: Explore agent for API patterns
Task 2: Explore agent for database patterns
Task 3: Explore agent for auth patterns

## Phase 3: Synthesise

Read agent outputs
Combine into unified report
Mark all tasks completed

Best Practices

1. Limit to 3-5 parallel agents - More causes coordination overhead
2. Use Haiku for exploration - Cheaper and faster for read-only
3. Clear agent prompts - Each agent needs complete context (no shared state)
4. Aggregate carefully - Agents may have conflicting findings
5. Track with Tasks - Use TaskCreate/TaskUpdate for visibility
6. Handle failures - If one agent fails, others continue

Anti-Patterns

❌ Don't spawn agents for sequential work ❌ Don't use background agents when MCP tools needed ❌ Don't pass partial context expecting shared state ❌ Don't spawn 10+ agents (diminishing returns)

Skills Using This Pattern

Reference these for working examples:

• /vault-maintenance - Parallel health checks
• /quality-report - Parallel analysis dimensions
• /project-status - Parallel data gathering agents

Template Variables

When creating a new orchestrated skill, replace:

{{SKILL_NAME}} - Name of the skill
{{PHASE_COUNT}} - Number of parallel phases
{{AGENT_PURPOSE_N}} - Purpose of each agent
{{SYNTHESIS_OUTPUT}} - What the final output looks like