blend-elaboration
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/blend-elaborationSimulate blends to uncover emergent properties and consequences
- Explores implications of concept blends through imaginative simulation
- Uses subagent execution for sustained focus and dynamic interaction
- Derives outcomes by running blends forward in time and observing behavior
- Returns discovered properties and consequences to parent agent for analysis
SKILL.md
.github/skills/blend-elaborationView on GitHub ↗
--- name: blend-elaboration description: Run blend as mental simulation execution: subagent prompt: ./prompt.md input: completed_blend (object) used-by: combinatorial-creativity, concept-blending, emergent-property-hunting --- # Blend Elaboration Run blend as mental simulation — let the blend "run" according to its own logic to discover consequences, implications, and additional emergent properties. ## Execution Subagent — spawned via subagent-spawning/spawn-agent skill. ## Why Subagent Blend elaboration requires imaginative simulation — running the blend forward in time, exploring consequences, and discovering properties that only emerge through dynamic interaction. Benefits from sustained imaginative focus.
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