experiment-bridge

# Workflow 1.5: Experiment Bridge Implement and deploy experiments from plan: **$ARGUMENTS** ## Overview This skill bridges Workflow 1 (idea discovery + method refinement) and Workflow 2 (auto review loop). It takes the experiment plan and turns it into running experiments with initial results. ``` Workflow 1 output: This skill: Workflow 2 input: refine-logs/EXPERIMENT_PLAN.md → implement → deploy → collect → initial results ready refine-logs/EXPERIMENT_TRACKER.md code /run-experiment for /auto-review-loop refine-logs/FINAL_PROPOSAL.md ``` ## Constants - **AUTO_DEPLOY = true** — Automatically deploy experiments after implementation. Set `false` to review code before deploying. - **SANITY_FIRST = true** — Run the sanity-stage experiment first (smallest, fastest) before launching the rest. Catches setup bugs early. - **MAX_PARALLEL_RUNS = 4** — Maximum number of experiments to deploy in parallel (limited by available GPUs). - **BASE_REPO = false** — GitHub repo URL to use as a base codebase. When set, clone it first and implement experiments on top of it. - **COMPACT = false** — When `true`, prefer `IDEA_CANDIDATES.md` over the full `IDEA_REPORT.md`, and append completed runs to `EXPERIMENT_LOG.md`. > Override: `/experiment-bridge "EXPERIMENT_PLAN.md" — compact: true, base repo: https://github.com/org/project` ## Inputs This skill expects one or more of: 1. **`refine-logs/EXPERIMENT_PLAN.md`** (best) ...