abstraction-laddering

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/abstraction-laddering

Navigate between concrete and abstract levels to find productive research framing

  • Identifies user problem by understanding context and problem statement.
  • Depends on prompt-engineering techniques for effective communication with users.
  • Decides optimal abstraction level based on problem complexity and user needs.
  • Delivers results through structured responses that guide towards the most productive research framing.

SKILL.md

.github/skills/abstraction-ladderingView on GitHub ↗
---
name: abstraction-laddering
description: Move between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
execution: subagent
prompt: ./prompt.md
input: problem_statement (string), context (string)
used-by: question-reformulation
---

# Abstraction Laddering

Navigate abstraction levels to find productive framings.

## Execution

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

## Budget

One unit = one abstraction ladder construction.

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