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.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
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`
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