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Skills/alirezarezvani/claude-skills/loop
loop logo

loop

alirezarezvani/claude-skills
1K installs18K stars
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Installation

npx skills add https://github.com/alirezarezvani/claude-skills --skill loop

Summary

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling.

SKILL.md

/ar:loop — Autonomous Experiment Loop

Start a recurring experiment loop that runs at a user-selected interval.

Usage

/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

What It Does

Step 1: Resolve experiment

If no experiment specified, list experiments and let user pick.

Step 2: Select interval

If interval not provided as argument, present options:

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)

Map to cron expressions:

IntervalCron ExpressionShorthand
10 minutes/10 *10m
1 hour7 1h
Daily57 8 *daily
Weekly57 8 1weekly
Monthly57 8 1 monthly

Step 3: Create the recurring job

Use CronCreate with this prompt (fill in the experiment details):

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}

Step 4: Store loop metadata

Write to .autoresearch/{domain}/{name}/loop.json:

{
  "cron_id": "{id from CronCreate}",
  "interval": "{user selection}",
  "started": "{ISO timestamp}",
  "experiment": "{domain}/{name}"
}

Step 5: Confirm to user

Loop started for {domain}/{name}
  Interval: {interval description}
  Cron ID: {id}
  Auto-expires: 3 days (CronCreate limit)

  To check progress: /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.

Stopping a Loop

When user runs /ar:loop stop {experiment}:

  1. Read .autoresearch/{domain}/{name}/loop.json to get the cron ID
  2. Call CronDelete with that ID
  3. Delete loop.json
  4. Confirm: "Loop stopped for {experiment}. {n} experiments completed."

Important Limitations

  • 3-day auto-expiry: CronCreate jobs expire after 3 days. For longer experiments, the user must re-run /ar:loop to restart. Results persist — the new loop picks up where the old one left off.
  • One loop per experiment: Don't start multiple loops for the same experiment.
  • Concurrent experiments: Multiple experiments can loop simultaneously ONLY if they're on different git branches (which they are by default — each experiment gets autoresearch/{domain}/{name}).

Score

0–100
65/ 100

Grade

C

Popularity17/30

1,458 installs — growing adoption. Source repo has 18,069 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Loop skill score badge previewScore badge

Markdown

[![Loop skill](https://www.remoteopenclaw.com/skills/alirezarezvani/claude-skills/loop/badges/score.svg)](https://www.remoteopenclaw.com/skills/alirezarezvani/claude-skills/loop)

HTML

<a href="https://www.remoteopenclaw.com/skills/alirezarezvani/claude-skills/loop"><img src="https://www.remoteopenclaw.com/skills/alirezarezvani/claude-skills/loop/badges/score.svg" alt="Loop skill"/></a>

Loop FAQ

How do I install the Loop skill?

Run “npx skills add https://github.com/alirezarezvani/claude-skills --skill loop” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Loop skill do?

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Loop skill free?

Yes. Loop is a free, open-source skill published from alirezarezvani/claude-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Loop work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Loop works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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