Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments β optimizing hyperparameters, searching for better configurat...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install autoresearchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install autoresearchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/autoresearch/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What autoresearch can do for your AI workflow
Autonomous experiment loop directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,888+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing autoresearch
Help me get started with autoresearch
Explains what autoresearch does, walks through the setup, and runs a quick demo based on your current project
Use autoresearch to autonomous experiment loop for AI agents
Invokes autoresearch with the right parameters and returns the result directly in the conversation
What can I do with autoresearch in my data & analytics workflow?
Lists the top use cases for autoresearch, with example commands for each scenario
Guides & tutorials for AI skills
autoresearch extends your AI assistant with the ability to autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments β optimizing hyperparameters, searching for better configurat... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using autoresearch as its underlying capability.
autoresearch works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install autoresearch once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install autoresearch, copy the skill folder to `~/.claude/skills/autoresearch/` for use across all your projects, or `.claude/skills/autoresearch/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/autoresearch` or just describe your goal and the AI will pick it up automatically.
autoresearch has been installed 1,888 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/autoresearch/ for personal use (all projects), or .claude/skills/autoresearch/ for project-specific use. Restart your AI client, then invoke with /autoresearch or let the AI discover it automatically.
autoresearch supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
autoresearch is free to install. Check the repository for licensing information.
Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments β optimizing hyperparameters, searching for better configurat...
Automate my data & analytics tasks using autoresearch
Identifies repetitive steps in your workflow and sets up autoresearch to handle them automatically
MCP vs traditional plugins: what's the difference?
autoresearch is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.