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RustyLindquist

parallel-dispatch

by RustyLindquist

An AI-Enhanced Online Academy for HR

0🍴 0📅 Jan 25, 2026

SKILL.md


name: parallel-dispatch description: Coordinate simultaneous agent execution for independent tasks. Use when multiple tasks can run in parallel without dependencies.

Parallel Dispatch

Coordinate multiple agents working simultaneously on independent tasks.

Purpose

Maximize efficiency by:

  1. Identifying parallelizable work
  2. Dispatching multiple agents in a single message
  3. Tracking parallel execution
  4. Synthesizing results

When to Use

  • Multiple independent bug fixes
  • Research across different features
  • Frontend AND backend work (when API contract is clear)
  • Multiple file/component updates
  • Batch operations

When NOT to Use

  • Tasks have data dependencies
  • One task's output is another's input
  • Sequential workflow required
  • Shared state being modified

Parallelization Analysis

Step 1: Identify Tasks

List all discrete tasks to be done:

## Tasks Identified

1. [Task A]: [description]
2. [Task B]: [description]
3. [Task C]: [description]

Step 2: Dependency Check

For each pair of tasks, check:

Task ATask BDependency?Reason
T1T2NoDifferent features
T1T3YesT3 needs T1's output
T2T3NoIndependent

Step 3: Group into Waves

## Execution Waves

### Wave 1 (Parallel)
- Task A → @frontend-agent
- Task B → @research-agent

### Wave 2 (After Wave 1)
- Task C → @backend-agent (needs T1 output)

Step 4: Dispatch

CRITICAL: Send all parallel tasks in a single message with multiple Task tool calls.

## Parallel Dispatch

Spawning agents in parallel for Wave 1:

@frontend-agent: [Task A instructions]
@research-agent: [Task B instructions]

Step 5: Synthesize

When all agents return:

## Results Synthesis

### From Frontend Agent
- Completed: [summary]
- Files changed: [list]
- Issues found: [if any]

### From Research Agent
- Findings: [summary]
- Recommendations: [list]

### Combined Status
- [ ] All tasks complete
- [ ] No conflicts between changes
- [ ] Ready for next wave / done

Parallel Patterns

Pattern 1: Multi-Feature Bug Fixes

Wave 1 (Parallel):
├── @frontend-agent: Fix button alignment in Dashboard
├── @frontend-agent: Fix modal close behavior in Settings
└── @backend-agent: Fix validation error in enrollment action

Pattern 2: Research + Implementation

Wave 1 (Parallel):
├── @research-agent: Find all usages of deprecated API
└── @doc-agent: Load feature docs for migration

Wave 2 (After research):
└── @backend-agent: Update all usages per research findings

Pattern 3: Frontend + Backend (Clear Contract)

Wave 1 (Parallel, when API contract defined):
├── @frontend-agent: Build UI for new feature (mock data)
└── @backend-agent: Implement server actions per spec

Wave 2 (Integration):
└── @frontend-agent: Connect UI to real API

Cost Awareness

ConfigurationRelative Cost
Sequential agentsN × 4x = 4Nx
Parallel agentsN × 4x = 4Nx (same cost, faster)
But: Context duplication overhead~15x for many agents

Best practice: Parallelize 2-4 agents max. Beyond that, overhead exceeds benefit.

Output Format

## Parallel Dispatch Report

### Wave 1 Dispatch
| Agent | Task | Status |
|-------|------|--------|
| @frontend-agent | [task] | Dispatched |
| @backend-agent | [task] | Dispatched |

### Wave 1 Results
| Agent | Outcome | Files Changed |
|-------|---------|---------------|
| @frontend-agent | Success | [files] |
| @backend-agent | Success | [files] |

### Synthesis
- Conflicts: [None / List]
- Follow-up needed: [None / List]
- Ready for: [Next wave / Testing / Done]

Integration with Task Router

Use /task-router first to analyze task dependencies, then /parallel-dispatch to execute.

1. /task-router → Identifies tasks and dependencies
2. /parallel-dispatch → Groups into waves and executes

Score

Total Score

50/100

Based on repository quality metrics

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