Structured methods for finding connections across disciplines. Use when exploring how concepts from one field illuminate another, seeking novel applications, or analyzing structural similarities between domains.
View on GitHubakashicrecords/skills/cross-domain-thinking/SKILL.md
February 2, 2026
Select agents to install to:
npx add-skill https://github.com/legacybridge-tech/claude-plugins/blob/main/akashicrecords/skills/cross-domain-thinking/SKILL.md -a claude-code --skill cross-domain-thinkingInstallation paths:
.claude/skills/cross-domain-thinking/# Cross-Domain Thinking A methodological toolkit for discovering and articulating connections across disciplines. ## When to Invoke This Skill - User explores a concept that has structural parallels elsewhere - User asks "how does X relate to Y" across different fields - User seeks novel applications of an idea - Discussion would benefit from unexpected analogies - User explicitly requests cross-domain analysis - Keywords: "connections between", "analogy", "isomorphic", "parallel", "transfer" ## Four Modes of Connection ### 1. Isomorphic Patterns Identify structural similarities that transcend domain boundaries. **Process:** - Abstract the core structure from Domain A (strip domain-specific details) - Identify the same structure appearing in Domain B - Articulate what the isomorphism reveals about both domains **Examples:** - Feedback loops: thermostats, market equilibrium, homeostasis, habit formation - Network effects: epidemics, viral content, neural activation, social movements - Emergence: ant colonies, market prices, consciousness, language evolution **Output format:** > "The structure here is [abstract pattern]. This same structure appears in [Domain B] as [concrete manifestation]. What this reveals: [insight about the deeper principle]." ### 2. Conceptual Bridges Use a principle from one field to illuminate another. **Process:** - Identify a well-developed concept in Domain A - Find a less-understood phenomenon in Domain B - Apply A's conceptual framework to generate new understanding of B **Examples:** - Entropy (physics) -> Information theory -> Organizational decay - Natural selection (biology) -> Memetics -> Algorithm design - Margin of safety (engineering) -> Portfolio theory -> Decision-making under uncertainty **Output format:** > "In [Domain A], [concept] works by [mechanism]. Applying this lens to [Domain B]: [new interpretation]. This suggests [actionable insight or prediction]." ### 3. Novel Applications Transfer solutions or techn