Overview
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").
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
Installation
Add experiment-queue to your agent with:
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/experiment-queueReview a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.
Supported agents
- Claude Code — declared in the repository topics
- Codex — declared in the repository topics
License
experiment-queue is published under the MIT license.
Strengths
- Clear MIT license — safe to read and adapt within its terms
- Ships in wanshuiyin/Auto-claude-code-research-in-sleep, an established project with 14,858 GitHub stars
- Works with Claude Code, Codex
- Actively maintained — repository updated in the last 90 days
Author
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.
- Which agents does experiment-queue work with?
- experiment-queue lists Claude Code and Codex — named in its SKILL.md, its plugin marketplace or its repository topics. Skills use the portable SKILL.md format, so other agents that read that format may load it too.
- 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.