seed-protocol-design
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/seed-protocol-designDesigns reproducible random seed strategies for experiments
- Solves the problem of ensuring reproducibility in experiments with random components
- Relies on system architecture analysis and randomness source identification
- Uses experiment design and repetition requirements to allocate seeds systematically
- Returns a seed allocation table and reproducibility plan for execution
SKILL.md
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--- name: seed-protocol-design description: "SOP: design random seed strategy for reproducibility" version: 1.0.0 category: experiment-execution type: sop execution: subagent prompt: ./prompt.md used-by: - reproducibility-protocol input: "Experiment design + list of randomness sources + repetition requirements" output: "Seed allocation strategy + seed value table + reproducibility guarantee plan" --- # SOP: Seed Protocol Design Design random seed strategy to ensure experiment reproducibility while quantifying variance from randomness through multi-seed runs. ## Execution Subagent — spawned via subagent-spawning/spawn-agent skill. ## Why Subagent Seed strategy requires identifying all randomness sources in the system (initialization, data sampling, dropout, etc.) and designing a consistent seed propagation scheme — demands deep understanding of system architecture.
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