constraint-protocol

Agent Building

Inject constraints → force creative response → extract transferable principles. Orchestrates constraint injection, response generation, and principle extraction.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/constraint-protocol/SKILL.md

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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

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
constraint-response	Generate creative solutions under extreme constraints — no "impossible" allowed, find a way.