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experiment-queue

An AI agent skill from wanshuiyin/Auto-claude-code-research-in-sleep, scored 77 out of 100 by code.

77/ 100B

Code score by group

  • Spec20/20
  • Description15/20
  • Procedure12/15
  • Done criteria4/15
  • Resources8/10
  • Scripts8/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

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.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Folder
skills/experiment-queue
License
MIT
GitHub stars
19,072
SKILL.md lines
432
Other files
2

Add experiment-queue to your agent

npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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All skills in wanshuiyin/Auto-claude-code-research-in-sleep

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.