combination-mapping
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/combination-mappingSystematically generates viable parameter combinations through structured enumeration
- Solves complex design and optimization problems requiring combinatorial exploration
- Leverages parameter-identification, value-enumeration, and consistency-pair-evaluation SOPs
- Prioritizes unexplored regions while filtering logically/empirically inconsistent pairs
- Delivers structured ideas with ≥5 novel combinations meeting minimum yield requirements
SKILL.md
.github/skills/combination-mappingView on GitHub ↗
--- name: combination-mapping description: Systematically enumerate parameter dimensions and generate viable combinations. Orchestrates parameter extraction → value enumeration → compatibility assessment → synthesis. execution: tactic used-by: morphological-exploration, combinatorial-creativity, structural-deconstruction, systematic-enumeration --- # Combination Mapping Systematically enumerate parameter dimensions and generate viable combinations. ## Stages ### Stage 1: Parameter Extraction Identify independent parameters of the problem space using parameter-identification SOP. Verify orthogonality. ### Stage 2: Value Enumeration For each parameter, enumerate 3-5 meaningful values including boundary and extreme values. Use value-enumeration SOP or direct generation. ### Stage 3: Compatibility Assessment Evaluate pairwise compatibility of value combinations. Flag logically/empirically/normatively inconsistent pairs. Use consistency-pair-evaluation SOP if available. ### Stage 4: Path Generation Generate viable combination paths through the consistent solution space. Prioritize unexplored regions (white space). Use path-generation or recombination-generation SOP. ### Stage 5: Synthesis Evaluate generated combinations for novelty and feasibility. Synthesize into structured ideas. ## Minimum Yield | Metric | Floor | |--------|-------| | Parameters identified | ≥4 | | Values per parameter | ≥3 | | Combinations evaluated | ≥10 | | Viable novel combinations | ≥5 | ## Available SOPs | SOP | Role | |-----|------| | parameter-identification | Stage 1 — decompose problem into parameters | | value-enumeration | Stage 2 — enumerate parameter values | | consistency-pair-evaluation | Stage 3 — check pairwise compatibility | | path-generation | Stage 4 — generate combination paths | | recombination-generation | Stage 4 — alternative combination approach | | constraint-injection | Stage 3 — inject constraints to reduce space | | novelty-scoring | Stage 5 — score combinations | | idea-synthesis | Stage 5 — synthesize into concepts | | saturation-detection | Post — check if space is exhausted |
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