experiment-queue

experiment-queue is an open-source data skill for Claude Code and compatible agents, published by wanshuiyin. Its author describes it as: “SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep",…”. The project has 15k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/experiment-queue`.

What experiment-queue does

> ⏱ **External cadence: visibility only.** This skill already runs its own > detached server-side scheduler (60s poll + `depends_on` + wave transitions). > Use its status output for overnight visibility (N done / N running / N > pending); do **not** wrap it in a second `/loop` / `CronCreate` poll — that > duplicates the scheduler on an uncoordinated clock and races the > wave-transition logic it was built to prevent. See > `shared-references/external-cadence.md` > ("don't duplicate an existing scheduler").

Installation

Add experiment-queue to your agent with:

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

Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.

What's inside

The SKILL.md for experiment-queue is organised into these sections:

• When to Use This Skill
• Why This Exists
• Core Concepts
• Job Manifest
• Job State Machine
• Wave Orchestration
• Workflow
• Step 1: Parse Manifest / Build from Grid
• Step 2: Pre-flight
• Step 3: Launch Scheduler
• Step 4: Monitoring
• Step 5: Post-completion

When to use it

Reach for experiment-queue when you want data help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.

Strengths

• Clear MIT license — safe to read and adapt
• Ships in wanshuiyin/Auto-claude-code-research-in-sleep, an established project with 14,858 GitHub stars
• Actively maintained (recent commits)

Topics

Frequently asked questions

What does experiment-queue do?

SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.

How do I install experiment-queue?

Run git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/experiment-queue in your agent, then reload your skills. Review the source at https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep before installing.

Is experiment-queue free to use?

Yes. experiment-queue is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.

Where does experiment-queue come from?

experiment-queue ships inside wanshuiyin/Auto-claude-code-research-in-sleep, a repository that contains 41 catalogued skills in total. The repository's 14,858 GitHub stars apply to that whole collection, not to this skill on its own.