Experiment Bridge

Experiment Bridge is an AI Engineering skill for Claude Code, published by OpenLAIR in dr-claw.

1K stars116 forkson OpenLAIR/dr-clawAdded 2026/08/21Repository updated 2026/08/09

ai-agentsai-scientistauto-researchclaude-codeclaude-science-desktop-alternativeclaude-science-freeliterature-reviewpaper-writingresearch-assistant

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/OpenLAIR/dr-claw/tree/main/skills/aris-experiment-bridge ~/.claude/skills/aris-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/OpenLAIR/dr-claw.git

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

In this catalog

Source file: skills/aris-experiment-bridge/SKILL.md in OpenLAIR/dr-claw
Installs to: ~/.claude/skills/aris-experiment-bridge
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Experiment Bridge does

Experiment Bridge implements experiment code from an experiment plan, deploys it to available GPU resources, and collects initial results. Use it when a plan is ready to execute or you need to bridge idea discovery into the auto-review loop.

Experiment Bridge is cataloged under AI Engineering on DirSkills. Experiment Bridge comes from a repository tagged ai-agents, ai-scientist, auto-research, claude-code and claude-science-desktop-alternative.

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-5.4 review → deploy → collect → initial results ready
refine-logs/EXPERIMENT_TRACKER.md     code        (cross-model)    /aris-run-experiment     for /aris-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.

/aris-run-experiment
/aris-auto-review-loop
/aris-experiment-bridge
/aris-experiment-plan
/aris-compute-guard
/aris-monitor-experiment
/aris-training-check
/aris-ablation-planner
/aris-vast-gpu
/aris-idea-discovery
/aris-paper-writing
/aris-research-pipeline

Frequently asked about Experiment Bridge

What else does OpenLAIR publish alongside Experiment Bridge?
Experiment Bridge is one of 25 skills that DirSkills catalogs from OpenLAIR/dr-claw, the repository it ships in. Its siblings there include ARIS Infra, Ablation Planner and Academic Researcher. Each one is a separate skill with its own page in this directory, installs the same way Experiment Bridge does, and is maintained by OpenLAIR in that same repository. The rest of the collection is listed on the OpenLAIR/dr-claw page.
How does Experiment Bridge compare to other AI Engineering skills?
Experiment Bridge ranks #1341 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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.