Boundary Unfolding
SkillDev toolsSystematically expose hidden system boundaries — CSH 12-question is/ought
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Boundary Unfolding skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/boundary-unfolding/SKILL.md and read by ahel’s review.
Expose hidden system boundaries and excluded perspectives.
Operations
- csh-12-question — 4 dimensions × 3 questions, is vs ought
- jtbd-mapping — stakeholder jobs-to-be-done
- salience-classification — power/legitimacy/urgency classification
Available SOPs
Subagent: csh-12-question, jtbd-mapping, salience-classification Shared: multi-stakeholder-simulation
Execution Guidance
Apply CSH 12 questions (4 dimensions × 3 questions, is vs ought). Map stakeholder jobs. Classify by salience model. Identify who is systematically excluded from the current framing.
Minimum Yield
<HARD-GATE>
- CSH matrix: >= 1 completed
- stakeholders mapped: >= 4
- salience classifications: >= 4
- excluded perspectives identified: >= 1
</HARD-GATE>
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| csh-12-question | Apply Ulrich's Critical Systems Heuristics 12 questions across 4 dimensions (motivation, control, expertise, legitimacy) comparing is vs ought. |
| deep-insight-multi-stakeholder-simulation | Simulate multiple stakeholder perspectives evaluating a research gap, method, or proposal. Identifies blind spots from single-perspective analysis. |
| jtbd-mapping | Map stakeholder Jobs-to-be-Done — functional, emotional, and social jobs for each affected party. Identifies unserved jobs as opportunity signals. |
| salience-classification | Classify stakeholders by Mitchell et al. framework (Power, Legitimacy, Urgency). Assigns salience category and identifies systematically excluded parties. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
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boundary-unfolding- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine