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Strategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate (repurposed), Toulmin argumentation, Mayo severe testing.
Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.
Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.
Showing SKILL.md
Based on SOC occupation classification
| 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 |
| input | Experiment design + list of randomness sources + repetition requirements |
| output | Seed allocation strategy + seed value table + reproducibility guarantee plan |
| dependencies | {"sops":["spawn-agent"]} |
Design random seed strategy to ensure experiment reproducibility while quantifying variance from randomness through multi-seed runs.
Subagent — spawned via subagent-spawning/spawn-agent skill.
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.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |