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design-space-explorationlisted

Generate and structure materially diverse solution concepts before selection. Use when asked to brainstorm, explore alternatives, map a design space, avoid premature convergence, or find unconventional architecture, product, policy, research, or operating approaches. Produce a Design Space Portfolio. Do not use to select the final option, diagnose which factual hypothesis is true, facilitate a stakeholder debate, or implement an already chosen design.
SylphxAI/skills · ★ 1 · Web & Frontend · score 74
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