generic-space-extraction

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/generic-space-extraction

Extract shared abstract structure from two input spaces using a subagent

  • Identifies commonalities between two input spaces at the highest level of abstraction.
  • Deploys a dedicated analytical subagent for precise extraction of shared structures.
  • Analyzes and decides on the most relevant shared elements without over-generalizing.
  • Delivers the extracted abstract structure to the user or agent in a usable format.

SKILL.md

.github/skills/generic-space-extractionView on GitHub ↗
---
name: generic-space-extraction
description: Extract shared abstract structure from two input spaces
execution: subagent
prompt: ./prompt.md
input: two_input_spaces (object)
used-by: combinatorial-creativity, concept-blending, multi-level-bisociation
---

# Generic Space Extraction

Extract shared abstract structure from two input spaces — the generic space captures what both inputs have in common at the highest level of abstraction.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Generic space extraction requires careful abstraction to find the deepest shared structure without over-generalizing. Benefits from dedicated analytical attention.

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