Deep WHY probing inspired by i* Intentionality modeling. Understand the user's motivation, success definition, risk tolerance, innovation preference, independence preference, time urgency, and learning willingness. The most important SOP in actor-profiling — understanding WHY drives everything downstream.
Scanned 6/1/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill ask-intentionality --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: ask-intentionality
description: Deep WHY probing inspired by i* Intentionality modeling. Understand the user's motivation, success definition, risk tolerance, innovation preference, independence preference, time urgency, and learning willingness. The most important SOP in actor-profiling — understanding WHY drives everything downstream.
execution: dialogue
---
# Ask Intentionality
Deep WHY probing (i* Intentionality). Understanding motivation shapes every downstream decision.
## Execution
Dialogue — inline, no subagent.
## What to Ask About
- If user has a stated goal: Why this specific goal? What's driving it?
- Motivation depth: graduation requirement / pure interest / career advancement / impact / combination
- Success definition: What does "done well" look like to you?
- Risk tolerance: safe incremental improvement vs. high-risk high-reward breakthrough
- Innovation preference: improve existing methods vs. create entirely new approaches
- Independence preference: complete solo vs. depend on collaborators
- Time urgency: deadline-driven vs. long-term accumulation
- Learning willingness: use familiar tools/domains vs. learn new ones
## Key Behaviors
- User may decline to answer (privacy). Accept gracefully. Note that downstream work becomes broader and may require more iteration.
- This SOP can be re-invoked by the tactic whenever new WHY questions emerge.
- Don't ask all dimensions at once — probe naturally based on conversation flow.
## Output
Intentionality section of ActorProfile.
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