blend-elaboration

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/blend-elaboration

Simulate 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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