setup
Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator.
npx skills add majiayu000/claude-skill-registry --skill setup-alirezarezvani-claude-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /ar:setup — Create New Experiment Set up a new autoresearch experiment with all required configuration. ## Usage ``` /ar:setup # Interactive mode /ar:setup engineering api-speed src/api.py "pytest bench.py" p50_ms lower /ar:setup --list # Show existing experiments /ar:setup --list-evaluators # Show available evaluators ``` ## What It Does ### If arguments provided Pass them directly to the setup script: ```bash python {skill_path}/scripts/setup_experiment.py \ --domain {domain} --name {name} \ --target {target} --eval "{eval_cmd}" \ --metric {metric} --direction {direction} \ [--evaluator {evaluator}] [--scope {scope}] ``` ### If no arguments (interactive mode) Collect each parameter one at a time: 1. **Domain** — Ask: "What domain? (engineering, marketing, content, prompts, custom)" 2. **Name** — Ask: "Experiment name? (e.g., api-speed, blog-titles)" 3. **Target file** — Ask: "Which file to optimize?" Verify it exists. 4. **Eval command** — Ask: "How to measure it? (e.g., pytest bench.py, python evaluate.py)" 5. **Metric** — Ask: "What metric does the eval output? (e.g., p50_ms, ctr_score)" 6. **Direction** — Ask: "Is lower or higher better?" 7. **Evaluator** (optional) — Show b
- Usage
- What It Does
- If arguments provided
- If no arguments (interactive mode)
- Listing
- Built-in Evaluators
- After Setup
python {skill_path}/scripts/setup_experiment.py \
Show existing experiments
python {skill_path}/scripts/setup_experiment.py --list
Show available evaluators
python {skill_path}/scripts/setup_experiment.py --list-evaluatorsWhat does the setup skill do?
Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill setup-alirezarezvani-claude-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.