design-space-explorationlisted
Install: claude install-skill SylphxAI/skills
# Design Space Exploration
Expand the solution space deliberately before choosing. Read
[references/design-space-methods.md](references/design-space-methods.md) when
decomposition, parallel generation, coverage, or source detail matters.
## Workflow
1. State the desired outcome, users, system boundary, invariants, material
constraints, and forbidden outcomes. Separate requirements from inherited
implementation assumptions.
2. Reframe the problem from at least two credible perspectives. Do not generate
a large option list for the wrong question.
3. Decompose the space into independent or weakly coupled dimensions such as
ownership, state, interaction, deployment, economics, reversibility, and
operating model. Add domain-specific dimensions rather than forcing this
example taxonomy.
4. Generate materially different option families. Include the status quo,
smallest viable change, orthogonal designs, a high-upside frontier design,
and hybrids only where their mechanisms are coherent.
5. When parallel agents are available, give them different lenses or regions
of the space. Independent constraints, analogies, failure models, or design
philosophies produce more diversity than repeating one open prompt.
6. Normalize and cluster the results by mechanism. Merge cosmetic variants,
preserve genuinely different causal structures, and expose combinations
that violate constraints.
7. Map explored and unvisited regions, key assumptions, option dependen