formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill concept-blending --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/concept-blendingContext preview
The summary Claude sees to decide when to auto-load this skill.
Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended
name: concept-blending description: 'Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space' execution: strategy dependencies: sops: - blend-completion - blend-composition - blend-elaboration - combinatorial-synthesis - generic-space-extraction - input-space-construction - vital-relation-mapping tactics: - blend-construction - emergence-detection
Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space. Produce novel concepts by selectively projecting structure from two input mental spaces into a blended space that develops emergent structure.
| Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 25 | 0 | 0% | | web-research | 10 | 0 | 0% | | paper-overview | 30 | 0 | 0% | | paper-search | 20 | 0 | 0% | | paper-research | 10 | 0 | 0% |
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
| Tactic | Role | |--------|------| | combination-mapping | Enumerate blend dimensions and viable combinations | | blend-construction | Construct complete 4-space blends with emergent structure | | emergence-detection | Detect emergent properties in completed blends |
| SOP | Role | |-----|------| | input-space-construction | Build input spaces for source concepts | | generic-space-extraction | Extract shared abstract structure | | blend-composition | Compose new connections in blended space | | blend-completion | Complete blend with background knowledge | | blend-elaboration | Run blend as mental simulation | | vital-relation-mapping | Map vital relations between concepts | | combinatorial-synthesis | Synthesize blending outputs |
1. **Select Input Concepts**: Choose two concepts with rich internal structure 2. **Build Input Spaces**: Use input-space-construction to elaborate each concept's elements, relations, and attributes 3. **Extract Generic Space**: Use generic-space-extraction to find shared abstract structure 4. **Map Vital Relations**: Use vital-relation-mapping to identify compression opportunities 5. **Compose Blend**: Use blend-composition to selectively project and create new connections 6. **Complete Blend**: Use blend-completion to recruit background knowledge 7. **Elaborate Blend**: Use blend-elaboration to run the blend as simulation and discover emergent structure
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Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | blend-construction | Construct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition. | | emergence-detection | Detect and validate emergent properties from combinations. Orchestrates emergent-property-identification → blend-elaboration. |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | blend-completion | Complete blend with background knowledge | | blend-composition | Compose new connections in blended space | | blend-elaboration | Run blend as mental simulation | | combinatorial-synthesis | Synthesize all combinatorial creativity outputs | | generic-space-extraction | Extract shared abstract structure from two input spaces | | input-space-construction | Build input spaces for two source concepts | | vital-relation-mapping | Map 15 vital relations between concepts |
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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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