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.
npxskills add mhattingpete/claude-skills-marketplace--skill ensemble-solvingLoading…
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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