autoresearch-agent

# Autoresearch Agent > You sleep. The agent experiments. You wake up to results. Autonomous experiment loop inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch). The agent edits one file, runs a fixed evaluation, keeps improvements, discards failures, and loops indefinitely. Not one guess — fifty measured attempts, compounding. --- ## Slash Commands | Command | What it does | |---------|-------------| | `/ar:setup` | Set up a new experiment interactively | | `/ar:run` | Run a single experiment iteration | | `/ar:loop` | Start autonomous loop with configurable interval (10m, 1h, daily, weekly, monthly) | | `/ar:status` | Show dashboard and results | | `/ar:resume` | Resume a paused experiment | --- ## When This Skill Activates Recognize these patterns from the user: - "Make this faster / smaller / better" - "Optimize [file] for [metric]" - "Improve my [headlines / copy / prompts]" - "Run experiments overnight" - "I want to get [metric] from X to Y" - Any request involving: optimize, benchmark, improve, experiment loop, autoresearch If the user describes a target file + a way to measure success → this skill applies. --- ## Setup ### First Time — Create the Experiment Run the setup script. The user decides where experiments live: **Project-level** (inside repo, git-tracked, shareable with team): ```bash python scripts/setup_experiment.py \ --domain engineering \ --name api-speed \ --target src/api/search.py \ --eval "pytest benc...