# Ask Intentionality

> 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.

- Skill: `yogsoth-ai/ask-intentionality` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/ask-intentionality`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/ask-intentionality/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/ask-intentionality

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# 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.