constraint-protocol
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/constraint-protocolInject constraints → force creative response → extract transferable principles.
SKILL.md
.github/skills/constraint-protocolView on GitHub ↗
--- name: constraint-protocol description: Inject constraints → force creative response → extract transferable principles. Orchestrates constraint injection, response generation, and principle extraction. execution: tactic used-by: perspective-forcing --- # Constraint Protocol Inject constraints → force creative response → extract transferable principles. ## Stages ### Stage 1: Constraint Injection Generate extreme constraints across multiple types (resource, time, scale, audience, material, inversion, context). Each constraint should make the current approach impossible, forcing genuinely new thinking. ### Stage 2: Constraint Response For each constraint, generate a creative solution that satisfies both the original problem AND the constraint. No "impossible" — find a way. Use constraint-response SOP. ### Stage 3: Extract Transferable Principles From each constrained solution, extract the underlying principle that made it work. Identify which principles apply even WITHOUT the constraint — these are the creative gold. ## Minimum Yield | Metric | Floor | |--------|-------| | Constraints injected | ≥5 | | Constraint-forced solutions | ≥3 | | Transferable principles extracted | ≥3 | | Principles validated as novel | ≥2 | ## Available SOPs | SOP | Role | |-----|------| | constraint-response | Stage 2 — generate solutions under constraints | | perspective-synthesis | Stage 3 — synthesize principles into report | | novelty-scoring | Post — score novelty of extracted principles |
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