fantasy-analogy
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/fantasy-analogyWish-fulfillment thinking — ignore physical laws to imagine the ideal solution, then work backward to feasible approximations.
SKILL.md
.github/skills/fantasy-analogyView on GitHub ↗
--- name: fantasy-analogy description: Wish-fulfillment thinking — ignore physical laws for ideal solution. Use unconstrained imagination to reveal what the problem truly needs. execution: strategy used-by: synectics --- # Fantasy Analogy Wish-fulfillment thinking — ignore physical laws to imagine the ideal solution, then work backward to feasible approximations. ## State Ledger | Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 15 | 0 | 0% | | web-research | 5 | 0 | 0% | | paper-overview | 15 | 0 | 0% | | paper-search | 10 | 0 | 0% | | paper-research | 3 | 0 | 0% | ## HARD-GATE Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget. ## Available Tactics | Tactic | Role | |--------|------| | analogy-extraction | Extract principles from fantasy solutions | ## Available SOPs | SOP | Role | |-----|------| | fantasy-wish | Generate unconstrained ideal solutions | | springboard-launch | Convert fantasy insights into feasible solutions | | synectics-synthesis | Synthesize fantasy analogy outputs | ## Execution Guidance 1. **Suspend constraints**: Explicitly set aside all physical/economic/technical limits 2. **Wish**: Describe the perfect solution as if magic existed 3. **Analyze the wish**: What function does the fantasy fulfill? 4. **Approximate**: What real mechanisms come closest to the fantasy? 5. **Bridge**: Design feasible solutions that capture the fantasy's essence 6. **Validate**: Ensure the bridge solutions address the original need