This bridges the gap between experiment planning and actual GPU runs. It reads your EXPERIMENT_PLAN.md, implements the code, optionally sends it to GPT-5.5 for a cross-model review to catch logic bugs before you burn GPU hours, then deploys everything and collects initial results. The sanity-first mode runs your smallest experiment first to catch setup issues early, and it'll auto-debug common failures like OOM or missing packages up to three times before bothering you. If you've got a base repo, it clones and extends it rather than starting from scratch. Useful when you've finished planning with the refine workflows and want to get from markdown to running experiments without manual translation.

skills.sh installs
531
GitHub stars
18.9K
last updated
Aug 21, 2026

Install

$ npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill experiment-bridge --agent claude-code

Installs into .claude/skills of the current project.

Files

Workflow 1.5: Experiment Bridge

Before each reviewer slot, follow Selectable Reviewers: resolve invocation → .aris/reviewer.json → Claude Code default (Codex MCP) with reviewer_route.py through the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only to backend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections are REVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.

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.

Sponsors

Details

Repository
github.com/wanshuiyin/auto-claude-code-research-in-sleep
Categories
DevOps & CI/CD, Git & Pull Requests, Code Review & Quality, Data Science & ML, Release Management, Productivity & Planning, Automation & Workflows, Sales & Marketing
First seen
Jun 3, 2026

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