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Bridge two unrelated thinking matrices via Koestler bisociation. Identify independent frames of reference and force collision to produce creative insight.
Passed 8 of 17 test cases with the skill, and 5 of 17 without it.
and 4 more in the full report
6 fixed4 passed either way10 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our team is stuck designing a decentralized credit risk evaluation system using standard financial metrics. I want to pair this native financial framework with an entirely unrelated domain, such as marine ecosystem food web stability. Please extract the underlying principles from each domain, force them together to locate unexpected friction and alignment points, build a concept connection network, and synthesize the resulting breakthroughs into a structured innovation report.
| Checked | Without skill | With skill |
|---|---|---|
| Tracks research budget consumption across all ledger metrics or provides explicit justification for unconsumed budget. | Missed | Passed |
| Includes bridge validation to confirm structural similarity rather than surface-level metaphor. | Passed | Passed |
The instructions your model reads when the skill loads.
Bridge two unrelated thinking matrices via Koestler bisociation — the creative act occurs at the intersection of two self-consistent but habitually incompatible frames of reference.
| Resource | Target | Current | % |
|---|---|---|---|
| web-search | 30 | 0 | 0% |
| web-research | 10 | 0 | 0% |
| paper-overview | 25 | 0 | 0% |
| paper-search | 15 | 0 | 0% |
| paper-research | 5 | 0 | 0% |
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
| Tactic | Role |
|---|---|
| analogy-extraction | Extract structural principles from each matrix |
| domain-divergence | Ensure the two matrices are genuinely unrelated |
| bridge-validation | Validate that the bisociation produces deep insight, not surface pun |
| SOP | Role |
|---|---|
| domain-scanning | Identify candidate thinking matrices |
| abstraction-extraction | Abstract the logic of each matrix |
| bisociation-network-construction | Build the collision network between matrices |
| analogy-quality-assessment | Assess depth of the bisociative connection |
| cross-domain-synthesis | Synthesize bisociation outputs into ideas |
test cases passed, vs 5 / 17 without
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