Experiment Queue

Experiment Queue 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

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

Install in seconds

Install Experiment Queue

Copy Experiment Queue 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-queue ~/.claude/skills/experiment-queue

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

What Experiment Queue does

Experiment Queue orchestrates large batches of ML experiments on SSH remote GPU servers with state tracking, OOM retry, stale-screen cleanup, and wave transitions. Use it for multi-seed sweeps, grid searches, teacher-student chains, or any 10+ job batch that needs orchestration beyond a single run.

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

Documentation

README

Excerpt

Experiment Queue

⏱ 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").

Orchestrate large batches of ML experiments on SSH remote GPU servers with proper state tracking, OOM retry, stale cleanup, and wave transitions.

When to Use This Skill

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

Commands Experiment Queue provides

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

/loop
/run-experiment
/monitor-experiment
/analyze-results
/experiment-queue

Frequently asked about Experiment Queue

What else does wanshuiyin publish alongside Experiment Queue?
Experiment Queue 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 Queue 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 Queue compare to other Automation skills?
Experiment Queue ranks #141 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 Queue against them. Open each page to compare what they document and how they install.