apply-separation-principle
SkillDev toolsLets your agent solve design conflicts by separating opposing requirements in time, space, scale, or condition.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the apply-separation-principle skill
About this skill
Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/apply-separation-principle/SKILL.md and read by ahel’s review.
Purpose
Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.
Input contract
required: [contradiction, conflicting_requirements]
optional: [system_boundary, operating_conditions]
constraints: [requirements must be stated as mutually conflicting outcomes]
Procedure
- State the useful and harmful effects that cannot coexist (
conflicting_requirements). - Test separation in time, space, scale, condition, and system level.
- Select the separation that removes the conflict and state its operating condition.
Output contract
produces: [separation_candidates, selected_principle, operating_condition]
delta_fields: [findings, hypothesis_updates, decisions, uncertainties]
Quality gates
- Each candidate names the separated dimension and preserves the useful effect while removing the harmful one.
Failure and counterexamples
Do not call parameter tuning a separation when both requirements still occur under the same condition.
Provenance map
triz/separation-principles: concept (the exact pool entry is singularseparation-principle; near-name substitution is forbidden).
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
apply-separation-principle- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine