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name: parallel-planning description: | Planning multiple workstreams? This skill identifies independent workstreams, spawns parallel planners, and analyzes dependencies between resulting plans. Perfect for large features spanning multiple components.

Parallel Planning

Overview

When planning scope is large, identify independent workstreams and spawn parallel planners. Analyze dependencies between resulting plans to determine execution order.

When to Use

• When implementation spans multiple independent components
• When different expertise areas are needed (backend vs frontend vs infrastructure)
• When parallel implementation tracks are possible
• When RPIV identifies multiple workstreams from research

Decomposition Criteria

Planning should be parallelized when:

Planning should NOT be parallelized when:

• Components are tightly coupled
• Sequential design decisions required
• Total scope fits single plan

Decomposition Process

Step 1: Identify Workstreams

From research documents, identify:

• Independent components or systems
• Distinct capability areas
• Natural boundaries in the codebase

Step 2: Define Workstream Briefs

For each workstream, create a planning brief:

Copy## Workstream: [Name]

**Scope**: [What this workstream covers]
**Research inputs**: [Relevant sections from research]
**Constraints**: [Dependencies, limitations]
**Expected phases**: [Rough estimate]
**Output**: Implementation plan document

Step 3: Spawn Parallel Planners

Use Task tool with planner subagent:

Copytask({
  subagent_type: "planner",
  description: "Plan [workstream name]",
  prompt: "Create implementation plan for workstream: [name]
           
           Scope: [scope]
           Research: [research summary]
           Constraints: [constraints]
           
           Follow standard plan format with phases, success criteria, and file:line references.
           Return path to completed plan document."
})

Step 4: Analyze Dependencies

When all planners return:

1. Read each plan's phases

2. Identify cross-plan dependencies:

   • Does Plan A's Phase 2 require Plan B's Phase 1?
   • Are there shared files that create conflicts?
   • Do plans make conflicting assumptions?

3. Create dependency graph:

Copy## Dependency Analysis

### Execution Order
1. Plan A: Phases 1-2 (no dependencies)
2. Plan B: Phases 1-3 (depends on A.Phase2)
3. Plan A: Phases 3-4 (can parallel with B)
4. Plan C: All phases (independent, full parallel)

### Conflicts Identified
- Plan A and B both modify `src/config.ts` in Phase 2
  - Resolution: Execute A.Phase2 first, B.Phase2 after

### Parallelization Opportunities
- Plan C can run entirely in parallel with A+B
- Plan A.Phase3 and B.Phase2 can run in parallel

Step 5: Create Execution Plan

Synthesize findings into execution recommendation:

Copy# Execution Plan

## Plans Created
1. [Plan A path] - [summary]
2. [Plan B path] - [summary]
3. [Plan C path] - [summary]

## Recommended Execution Order

### Wave 1 (Parallel)
- Plan A: Phases 1-2
- Plan C: All phases (independent)

### Wave 2 (Sequential)
- Plan B: Phases 1-3 (after Plan A.Phase2)

### Wave 3 (Parallel)
- Plan A: Phases 3-4
- (Plan C already complete)

## Risk Assessment
- [Risk 1]: [Mitigation]
- [Risk 2]: [Mitigation]

Output to RPIV

When planning is complete:

CopyPLANNING_COMPLETE
Plans created: N
Execution waves: M
Key dependencies:
  - [Plan dependency 1]
  - [Plan dependency 2]
Full execution plan: [path to execution plan doc]

Error Handling

• Planner fails: Gather partial work, note gap, may need manual planning
• Conflicting plans: Document conflicts, escalate to RPIV for resolution
• Circular dependencies: Flag as blocking issue, require human input