goal-decomposition

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/goal-decomposition

Structure user's chosen direction into a validated goal tree using KAOS-style decomposition

  • Identifies and decomposes the user's chosen direction into actionable AND/OR sub-goals.
  • Deploys tools for AND/OR decomposition, feasibility validation, and obstacle analysis.
  • Decides on the depth of decomposition based on user feedback and infeasibility checks.
  • Delivers a validated goal tree with user-confirmed priorities to the agent or user.

SKILL.md

.github/skills/goal-decompositionView on GitHub ↗
---
name: goal-decomposition
description: Structure the user's chosen direction into a formal goal tree using KAOS-style AND/OR decomposition. Validate feasibility against ActorProfile and ObstacleReport. Use after obstacle-analysis confirms the direction is viable.
---

# Goal Decomposition

KAOS-style recursive goal decomposition into a validated GoalTree.

## Available SOPs

| SOP | Purpose | Execution |
|-----|---------|-----------|
| formulate-top-goal | Formulate the top-level goal statement with user | dialogue |
| and-or-decompose | Recursively decompose goal into AND/OR sub-goals | subagent |
| validate-leaves | Validate leaf goals are actionable and measurable | subagent |
| feasibility-check | Check leaf feasibility against ActorProfile + ObstacleReport | subagent |
| ask-decomposition-validation | Present GoalTree to user, get confirmation + priorities | dialogue |

## Methodology Guidance

- Small-scale OR situations can iterate within this tactic (try alternative decomposition)
- Infeasible paths: select OR alternative within tactic
- Fundamentally infeasible: return to earlier tactics (direction-narrowing or obstacle-analysis)
- You decide iteration depth

## Output (Tactic-Level Aggregation)

`GoalTree + user-confirmed priorities`

More from yogsoth-ai/de-anthropocentric-research-engine

SkillDescription
abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
ablation-component-mappingMap system architecture to ablatable units for ablation studies
ablation-designDesign ablation studies to isolate component contributions in ML systems
ablation-executionRemove components one by one from a system, record the response/impact of each removal.
abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
abstraction-ladderPerform bisociation at multiple abstraction levels
abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.