← ClaudeAtlas

think-far-analogy-ideationlisted

Generates novel solution candidates by stating a problem's deep relational structure, mapping it to distant source domains (nature, other industries, games), and transferring the mechanism rather than surface features, then adapting. Use when near, obvious solutions are exhausted and you need genuinely original approaches.
product-on-purpose/thinking-framework-skills · ★ 1 · AI & Automation · score 77
Install: claude install-skill product-on-purpose/thinking-framework-skills
<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 --> # Far-Analogy Ideation Most ideation transfers solutions from near domains (products like yours), which yields obvious, low-novelty ideas. Far-analogy ideation deliberately reaches to distant domains - nature, other industries, games, history - and transfers the deep relational structure of a working solution there, not its surface features. The originality comes from the distance; the validity comes from mapping structure, not surface similarity. The output is a **far-analogy transfer sheet** of candidate mechanisms to adapt. The failure to avoid: surface-matching ("both involve networks"), which produces cute-but-useless analogies and carries none of the benefit. ## When to Use - Near, obvious solutions are exhausted or all look alike. - You want genuinely original approaches, not incremental variations. - The problem has a clear underlying structure that can be stated abstractly. ## When NOT to Use - An obvious near solution already exists and works (far analogy is overkill and riskier). - When you need to converge and decide (use a decision skill). - When only a surface match is available (a forced, surface-level analogy is worse than none). - Execution tasks with no real ideation need. ## Instructions When asked to ideate by far analogy, follow these steps: 1. **State the deep structure.** Abstract the problem to its relational core, stripped of domai