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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:
- Identifying parallelizable work
- Dispatching multiple agents in a single message
- Tracking parallel execution
- 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 A | Task B | Dependency? | Reason |
|---|---|---|---|
| T1 | T2 | No | Different features |
| T1 | T3 | Yes | T3 needs T1's output |
| T2 | T3 | No | Independent |
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
| Configuration | Relative Cost |
|---|---|
| Sequential agents | N × 4x = 4Nx |
| Parallel agents | N × 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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