// Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.
| name | ensemble-solving |
| description | Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality. |
Generate multiple solutions in parallel by spawning 3 subagents with different approaches, then evaluate and select the best result.
Activation phrases:
Good candidates:
Skip ensemble for:
Determine which category fits:
Task tool with:
- subagent_type: 'ensemble-orchestrator'
- description: 'Generate and evaluate 3 parallel solutions'
- prompt: [User's original task with full context]
The orchestrator handles:
The orchestrator returns:
For Code (Constraint Variation):
| Approach | Focus |
|---|---|
| Simplicity | Minimal code, maximum readability |
| Performance | Efficient, optimized |
| Extensibility | Clean abstractions, easy to extend |
For Architecture (Approach Variation):
| Approach | Focus |
|---|---|
| Top-down | Requirements → Interfaces → Implementation |
| Bottom-up | Primitives → Composition → Structure |
| Lateral | Analogies from other domains |
For Creative (Persona Variation):
| Approach | Focus |
|---|---|
| Expert | Technical precision, authoritative |
| Pragmatic | Ship-focused, practical |
| Innovative | Creative, unconventional |
| Criterion | Base Weight | Description |
|---|---|---|
| Correctness | 30% | Solves the problem correctly |
| Completeness | 20% | Addresses all requirements |
| Quality | 20% | How well-crafted |
| Clarity | 15% | How understandable |
| Elegance | 15% | How simple/beautiful |
Weights adjust based on task type.
User: "What's the best way to implement a rate limiter?"
Skill:
Output:
## Selected Solution
[Full rate limiter implementation with strategy pattern]
## Why This Solution Won
The extensible approach scored highest (8.4) because it provides
a clean abstraction that works for both simple use cases and
complex distributed scenarios. The strategy pattern allows
swapping Redis/Memcached backends without code changes.
## Alternatives
- **Simple approach**: Best if you just need basic in-memory
limiting and will never scale beyond one process.
- **Performance approach**: Best for high-throughput scenarios
where every microsecond matters.
~4x overhead vs single attempt. Worth it for:
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