experiment-pipeline
Experiment Pipeline
A structured 4-stage framework for executing research experiments from initial implementation through ablation study, with attempt budgets and gate conditions that prevent wasted effort. This follows the Experiment Tree Search design from the EvoScientist paper, where the engineer agent iteratively generates executable code, runs experiments, and records structured execution results at each stage.
When to Use This Skill
- User has a planned experiment and needs to organize the execution workflow
- User wants to systematically validate a novel method against baselines
- User asks about experiment stages, attempt budgets, or when to move on
- User needs to reproduce baseline results before testing their method
- User mentions "experiment pipeline", "baseline first", "ablation study", "stage budget", "experiment execution"
The Pipeline Mindset
Experiments fail for two reasons: wrong order and no stopping criteria. Most researchers jump straight to testing their novel method without verifying their baseline setup, then wonder why results don't make sense. Others spend weeks tuning hyperparameters without a budget, hoping the next run will work.
The 4-stage pipeline solves both problems. It enforces a strict order (each stage validates assumptions the next stage depends on) and assigns attempt budgets (forcing systematic thinking over brute-force iteration).
Before Starting: Load Prior Knowledge
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