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/ask-intentionality

Deep WHY probing inspired by i* Intentionality modeling. Understand the

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de-anthropocentric-research-engine
393200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill ask-intentionality --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/ask-intentionality

Context preview

The summary Claude sees to decide when to auto-load this skill.

Deep WHY probing inspired by i* Intentionality modeling. Understand the

SKILL.md

ask-intentionality.SKILL.md
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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Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Repo: yogsoth-ai/de-anthropocentric-research-engine