Agent skill

Setup

by alirezarezvani in alirezarezvani/claude-skills

Set up a new autoresearch experiment interactively. An agent skill from alirezarezvani/claude-skills.

Install Setup

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/autoresearch-agent/skills/setup .claude/skills/setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "setup" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/setup into .claude/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/setup

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill setup -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills setup --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/autoresearch-agent/skills/setup .agents/skills/setup && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "setup" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/setup into .agents/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill setup -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills setup --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/autoresearch-agent/skills/setup .cursor/skills/setup && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "setup" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/setup into .cursor/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path engineering/autoresearch-agent/skills/setup

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill setup -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills setup --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/autoresearch-agent/skills/setup .gemini/skills/setup && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "setup" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/setup into .gemini/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills setup

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill setup -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/autoresearch-agent/skills/setup .github/skills/setup && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "setup" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/setup into .github/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill setup -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills setup --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/autoresearch-agent/skills/setup .opencode/skills/setup && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "setup" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/autoresearch-agent/skills/setup into .opencode/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: setup
GitHub stars: 28k
Used in: 2 other repos
Token cost: ~737 tokens
SKILL.md length: 228 words
Files: 1
Skills in repo: 342
Repo updated: Aug 30, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Set up a new autoresearch experiment interactively. An agent skill from alirezarezvani/claude-skills.

Works in 8 steps: Domain — Ask: "What domain?… → Name — Ask: "Experiment name? (e.g.,… → Target file — Ask: "Which file to… → …
The user runs /ar:setup
SKILL.md covers Usage, What It Does, Built-in Evaluators and After Setup
Calls python

What it does

Setup is an agent skill from alirezarezvani/claude-skills. Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator. Use when the user runs /ar:setup or asks to start optimizing a file with the autoresearch loop.

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Autonomous loops. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

The user runs /ar:setup
Asks to start optimizing a file with the autoresearch loop

Example prompts

“/setup”

Requirements

Python 3
Docker

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

Domain — Ask: "What domain? (engineering, marketing, content, prompts, custom)"
Name — Ask: "Experiment name? (e.g., api-speed, blog-titles)"
Target file — Ask: "Which file to optimize?" Verify it exists.
Eval command — Ask: "How to measure it? (e.g., pytest bench.py, python evaluate.py)"
Metric — Ask: "What metric does the eval output? (e.g., p50_ms, ctr_score)"
Direction — Ask: "Is lower or higher better?"
Evaluator (optional) — Show built-in evaluators. Ask: "Use a built-in evaluator, or your own?"
Scope — Ask: "Store in project (.autoresearch/) or user (~/.autoresearch/)?"

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Setup loads about 737 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~58
When it runs · the whole SKILL.md, loaded when a task matches: ~737

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 228 words, ~737 tokens.

Download SKILL.mdSave it as .claude/skills/setup/SKILL.md (or your agent's skills folder).

name: setup
description: Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator. Use when the user runs /ar:setup or asks to start optimizing a file with the autoresearch loop.
command: /ar:setup

/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:

Domain — Ask: "What domain? (engineering, marketing, content, prompts, custom)"
Name — Ask: "Experiment name? (e.g., api-speed, blog-titles)"
Target file — Ask: "Which file to optimize?" Verify it exists.
Eval command — Ask: "How to measure it? (e.g., pytest bench.py, python evaluate.py)"
Metric — Ask: "What metric does the eval output? (e.g., p50_ms, ctr_score)"
Direction — Ask: "Is lower or higher better?"
Evaluator (optional) — Show built-in evaluators. Ask: "Use a built-in evaluator, or your own?"
Scope — Ask: "Store in project (.autoresearch/) or user (~/.autoresearch/)?"

Then run setup_experiment.py with the collected parameters.

Listing

bash

# Show existing experiments
python {skill_path}/scripts/setup_experiment.py --list

# Show available evaluators
python {skill_path}/scripts/setup_experiment.py --list-evaluators

Built-in Evaluators

Name	Metric	Use Case
`benchmark_speed`	`p50_ms` (lower)	Function/API execution time
`benchmark_size`	`size_bytes` (lower)	File, bundle, Docker image size
`test_pass_rate`	`pass_rate` (higher)	Test suite pass percentage
`build_speed`	`build_seconds` (lower)	Build/compile/Docker build time
`memory_usage`	`peak_mb` (lower)	Peak memory during execution
`llm_judge_content`	`ctr_score` (higher)	Headlines, titles, descriptions
`llm_judge_prompt`	`quality_score` (higher)	System prompts, agent instructions
`llm_judge_copy`	`engagement_score` (higher)	Social posts, ad copy, emails

After Setup

Report to the user:

Experiment path and branch name
Whether the eval command worked and the baseline metric
Suggest: "Run /ar:run {domain}/{name} to start iterating, or /ar:loop {domain}/{name} for autonomous mode."

Files

Just SKILL.md in engineering/autoresearch-agent/skills/setup of alirezarezvani/claude-skills.

Open the folder on GitHubat commit 19392f7

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Setup compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Setup this skillalirezarezvani/claude-skills	28k	2 repos	~737	Automated safety check: Pass	MIT	1 mo ago
Show Me Your Work Decision Logcursor/plugins	10k	9 repos	~1.6k	Automated safety check: Pass	None	yesterday
Autoresearch Iteration Loopuditgoenka/autoresearch	6.5k	1 repos	~2k	Automated safety check: Pass	MIT	1 mo ago
AutopilotYeachan-Heo/oh-my-claudecode	40k	1 repos	~4.4k	Automated safety check: Pass	MIT	today
Install Loop Engineeringcobusgreyling/loop-engineering	11k	1 repos	~648	Automated safety check: Pass	MIT	today
LoopyForward-Future/loopy	3.2k	—	~3.9k	Automated safety check: Pass	MIT	26 days ago

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Questions about Setup

What does Setup do?

Set up a new autoresearch experiment interactively. An agent skill from alirezarezvani/claude-skills. Setup is an agent skill from alirezarezvani/claude-skills. Set up a new autoresearch experiment interactively.

When should I use Setup?

Setup fits situations like: the user runs /ar:setup; asks to start optimizing a file with the autoresearch loop.

How do I install Setup in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill setup -a claude-code`. Or copy the skill folder (engineering/autoresearch-agent/skills/setup in alirezarezvani/claude-skills) into .claude/skills/setup in your project. Claude Code loads it when a task matches its description.

How do I install Setup in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill setup -a codex`. Or copy the skill folder (engineering/autoresearch-agent/skills/setup in alirezarezvani/claude-skills) into .agents/skills/setup in your project. Codex loads it when a task matches its description.

Can I use Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/setup, .gemini/skills/setup, .github/skills/setup and .opencode/skills/setup in your project.

What does Setup need to run?

Going by SKILL.md and its folder, Setup needs the command-line tools its instructions call (python). Our summary lists: Python 3; Docker.

Does Setup access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Setup use?

Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Setup use?

About 737 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Setup?

Skills that share tags, products or a category with Setup: Show Me Your Work Decision Log (cursor/plugins, 10k stars), Autoresearch Iteration Loop (uditgoenka/autoresearch, 6.5k stars), Autopilot (Yeachan-Heo/oh-my-claudecode, 40k stars) and Install Loop Engineering (cobusgreyling/loop-engineering, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Setup?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,788 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Setup

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

/ar:setup — Create New Experiment

Usage

What It Does

If arguments provided

If no arguments (interactive mode)

Listing

Built-in Evaluators

After Setup

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

More from alirezarezvani/claude-skills

Related

Questions about Setup