Experiment Bridge

Experiment Bridge is an Automation skill for Claude Code, published by wanshuiyin in Auto-claude-code-research-in-sleep.

14.7K stars1.3K forkson wanshuiyin/Auto-claude-code-research-in-sleepAdded 2026/08/14Repository updated 2026/08/11

View source on GitHub Download repo ZIP

ai-researchai-toolsarisautonomous-agentclaudeclaude-codeclaude-code-skillscodexdeep-learninggptidea-generationllmmachine-learningmcpmcp-serverml-researchopenaipaper-reviewpaper-writingresearch-automation

Install in seconds

Install Experiment Bridge

Copy Experiment Bridge into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-bridge ~/.claude/skills/experiment-bridge

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/experiment-bridge/SKILL.md in wanshuiyin/Auto-claude-code-research-in-sleep
Installs to: ~/.claude/skills/experiment-bridge
Collection: One of 25 skills cataloged from this repository
Category: Automation — 1523 skills

What Experiment Bridge does

Experiment Bridge turns an experiment plan into running GPU experiments by implementing code, reviewing it, deploying it, and collecting initial results. Use it after idea refinement and before the auto review loop.

Experiment Bridge is cataloged under Automation on DirSkills. Experiment Bridge comes from a repository tagged ai-research, ai-tools, aris, autonomous-agent and claude.

Documentation

README

Excerpt

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 → GPT-5.6-Sol review → deploy → collect → initial results ready
refine-logs/EXPERIMENT_TRACKER.md     code        (cross-model)    /run-experiment     for /auto-review-loop
refine-logs/FINAL_PROPOSAL.md

Constants

This is the opening of the README. Read the full README on GitHub.

Commands Experiment Bridge provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/run-experiment
/auto-review-loop
/experiment-bridge
/experiment-plan
/idea-discovery
/result-to-claim
/ablation-planner
/experiment-queue
/monitor-experiment
/training-check
/vast-gpu
/paper-writing

Frequently asked about Experiment Bridge

What else does wanshuiyin publish alongside Experiment Bridge?
Experiment Bridge is one of 25 skills that DirSkills catalogs from wanshuiyin/Auto-claude-code-research-in-sleep, the repository it ships in. Its siblings there include Ablation Planner, AlphaXiv and Analyze Results. Each one is a separate skill with its own page in this directory, installs the same way Experiment Bridge does, and is maintained by wanshuiyin in that same repository. The rest of the collection is listed on the wanshuiyin/Auto-claude-code-research-in-sleep page.
How does Experiment Bridge compare to other Automation skills?
Experiment Bridge ranks #140 by stars among the 1523 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Experiment Bridge against them. Open each page to compare what they document and how they install.