loop — Claude Code skill: what it does, how to install
This skill runs recurring autoresearch experiments through CronCreate. Use it when an experiment should be checked on a schedule.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install autoresearch-agent@claude-code-skillsWhat loop does
loop takes an experiment and an interval: 10m, 1h, daily, weekly, or monthly. When no interval is supplied, Claude Code presents the available options. /ar:loop engineering/api-speed 1h creates the recurring job, while /ar:loop stop engineering/api-speed stops it.
Before each iteration, the agent reads config.cfg, program.md, and results.tsv, checks out autoresearch/{domain}/{name}, makes one change, commits it, and runs python {skill_path}/scripts/run_experiment.py --experiment {domain}/{name} --single. The result is read as KEEP, DISCARD, or CRASH. Schedule metadata is stored in .autoresearch/{domain}/{name}/loop.json.
CronCreate jobs auto-expire after 3 days. Run loop again to continue; saved results let the next loop pick up where the previous one ended. Install this skill when the experiment already follows the .autoresearch layout. Parallel loops require separate git branches.
What it helps with
- run an autoresearch experiment on a schedule
- repeat one experiment iteration at a selected interval
- stop an active loop with
/ar:loop stop - store the cron ID and loop settings in
loop.json
Example prompts for the agent
- `/ar:loop engineering/api-speed 10m`
- `/ar:loop engineering/api-speed daily`
- `/ar:loop stop engineering/api-speed`
How to install loop
1Plugin marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install autoresearch-agent@claude-code-skillsThis installs the whole autoresearch-agent plugin with all its skills
2Skills CLI (Vercel)
npx skills add alirezarezvani/claude-skills --skill loop -a claude-code3Manually: put the files in place
~/.claude/skills/loop/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/loop/
Manually: put the files in place
.agents/skills/loop/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/loop/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install alirezarezvani/claude-skills loop2Manually: put the files in place
.github/skills/loop/SKILL.mdPlatform CLI
gemini skills install https://github.com/alirezarezvani/claude-skills --path engineering/autoresearch-agent/skills/loopManually: put the files in place
.devin/skills/loop/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set349
The whole set →Similar
Questions about loop
How do I install loop in Claude Code?
Run npx skills add alirezarezvani/claude-skills --skill loop -a claude-code. You can also use /plugin marketplace add alirezarezvani/claude-skills, followed by /plugin install autoresearch-agent@claude-code-skills.
What does loop do?
The skill creates a recurring autoresearch loop. It reads experiment history, makes one change, commits it, and evaluates the run with run_experiment.py.
How long does a loop run?
CronCreate recurring jobs auto-expire after 3 days. Results remain available, so you can run loop again and continue the experiment.
Source text
SKILL.md · MIT
---
name: "loop"
description: "Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule."
metadata:
command: /ar:loop
---
# /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:
| Interval | Cron Expression | Shorthand |
|----------|----------------|-----------|
| 10 minutes | `*/10 * * * *` | `10m` |
| 1 hour | `7 * * * *` | `1h` |
| Daily | `57 8 * * *` | `daily` |
| Weekly | `57 8 * * 1` | `weekly` |
| Monthly | `57 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`:
```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: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}`).
© Alireza Rezvani · MIT · alirezarezvani/claude-skills