关于 loop
用于为指定实验启动定期执行任务的技能,可按间隔重复运行实验,并支持停止循环。它读取实验配置、策略和历史结果,每次执行一轮;任务到期后可重新启动并沿用已有结果。
主要功能
- 01按设定间隔安排实验循环
- 02支持分钟、小时及日历周期
- 03每次定时任务执行一轮实验
- 04保存循环元数据并可停止任务
- 05实验结果在重新启动后保留
适用场景
- 01定期运行 API 性能实验
- 02让长周期实验按日或周继续执行
- 03停止已启动的实验循环
- 04任务自动到期后恢复未完成实验
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ alirezarezvani/ claude-skills --skill loop安装后在 Claude Code 中输入/loop确认已加载。
详细介绍
/ar:loop — 自主实验循环
按用户选定的间隔启动一个周期性实验循环。
用法
/ar:loop engineering/api-speed # Start loop (prompts for interval)
/ar:loop engineering/api-speed 10m # Every 10 minutes
/ar:loop engineering/api-speed 1h # Every hour
/ar:loop engineering/api-speed daily # Daily at ~9am
/ar:loop engineering/api-speed weekly # Weekly on Monday ~9am
/ar:loop engineering/api-speed monthly # Monthly on 1st ~9am
/ar:loop stop engineering/api-speed # Stop an active loop
功能说明
第 1 步:确定实验
如果未指定实验,则列出所有实验,由用户选择。
第 2 步:选择间隔
如果参数中未提供间隔,则列出以下选项:
Select loop interval:
1. Every 10 minutes (rapid — stay and watch)
2. Every hour (background — check back later)
3. Daily at ~9am (overnight experiments)
4. Weekly on Monday (long-running experiments)
5. Monthly on 1st (slow experiments)
映射为 cron 表达式:
| 间隔 | Cron 表达式 | 简写 |
|---|---|---|
| 10 分钟 | */10 * * * * | 10m |
| 1 小时 | 7 * * * * | 1h |
| 每天 | 57 8 * * * | daily |
| 每周 | 57 8 * * 1 | weekly |
| 每月 | 57 8 1 * * | monthly |
第 3 步:创建周期性任务
使用 CronCreate,并以下面的提示词创建(填入实验详情):
You are running autoresearch experiment "{domain}/{name}".
1. Read .autoresearch/{domain}/{name}/config.cfg for: target, evaluate_cmd, metric, metric_direction
2. Read .autoresearch/{domain}/{name}/program.md for strategy and constraints
3. Read .autoresearch/{domain}/{name}/results.tsv for experiment history
4. Run: git checkout autoresearch/{domain}/{name}
Then do exactly ONE iteration:
- Review results.tsv: what worked, what failed, what hasn't been tried
- Edit the target file with ONE change (strategy escalation based on run count)
- Commit: git add {target} && git commit -m "experiment: {description}"
- Evaluate: python {skill_path}/scripts/run_experiment.py --experiment {domain}/{name} --single
- Read the output (KEEP/DISCARD/CRASH)
Rules:
- ONE change per experiment
- NEVER modify the evaluator
- If 5 consecutive crashes in results.tsv, delete this cron job (CronDelete) and alert
- After every 10 experiments, update Strategy section of program.md
Current best metric: {read from results.tsv or "no baseline yet"}
Total experiments so far: {count from results.tsv}
第 4 步:保存循环元数据
写入 .autoresearch/{domain}/{name}/loop.json:
{
"cron_id": "{id from CronCreate}",
"interval": "{user selection}",
"started": "{ISO timestamp}",
"experiment": "{domain}/{name}"
}
第 5 步:向用户确认
Loop started for {domain}/{name}
Interval: {interval description}
Cron ID: {id}
Auto-expires: 3 days (CronCreate limit)
To check progress: /ar:ar-status
To stop the loop: /ar:loop stop {domain}/{name}
Note: Recurring jobs auto-expire after 3 days.
Run /ar:loop again to restart after expiry.
停止循环
当用户运行 /ar:loop stop {experiment} 时:
- 读取
.autoresearch/{domain}/{name}/loop.json,获取 cron ID - 使用该 ID 调用
CronDelete - 删除
loop.json - 确认:"已停止 {experiment} 的循环。已完成 {n} 次实验。"
重要限制
- 3 天自动过期:CronCreate 任务会在 3 天后过期。对于更长的实验,用户需要重新运行
/ar:loop来重启。结果会被保留,新循环会从旧循环停止的地方继续。 - 每个实验只能有一个循环:请勿为同一实验启动多个循环。
- 并发实验:只有在位于不同 git 分支上时,多个实验才能同时循环运行(默认情况下确实如此,每个实验都会使用
autoresearch/{domain}/{name})。
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