Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Data sourced from ClawHub. View on ClawSkills
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install autonomous-loopsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install autonomous-loopsβ 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/autonomous-loops/π‘Extract and place the folder at the path above, then restart your agent.
What autonomous-loops can do for your AI workflow
Head-to-head comparison directly from your Claude conversation
Native Claude integration via the open Model Context Protocol (MCP)
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 autonomous-loops
Help me get started with autonomous-loops
Explains what autonomous-loops does, walks through the setup, and runs a quick demo based on your current project
Use autonomous-loops to head-to-head comparison of coding agents (Claude Code, Aider, Codex...
Invokes autonomous-loops with the right parameters and returns the result directly in the conversation
What can I do with autonomous-loops in my ai agent workflow?
Lists the top use cases for autonomous-loops, with example commands for each scenario
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autonomous-loops extends your AI assistant with the ability to head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. 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 autonomous-loops as its underlying capability.
autonomous-loops integrates with Claude through the Model Context Protocol (MCP) standard. The skill is version-controlled and shareable β if you work with a team, you can commit the skill to your project repo and everyone gets the same capability without any extra setup.
Getting started with autonomous-loops takes about two minutes. Place the skill at `~/.claude/skills/autonomous-loops/` (personal, all projects) or `.claude/skills/autonomous-loops/` (project-specific), then restart your AI client. From that point, typing `/autonomous-loops` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
autonomous-loops is a community-contributed AI productivity skill available through DiscoverAISkills. 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/autonomous-loops/ for personal use (all projects), or .claude/skills/autonomous-loops/ for project-specific use. Restart your AI client, then invoke with /autonomous-loops or let the AI discover it automatically.
autonomous-loops supports Claude. It integrates seamlessly with these AI platforms to extend their capabilities.
autonomous-loops is free to install. Check the repository for licensing information.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Autonomous Agent Skills
CornerStone MCP x402 skill for agents. Tools for stock predictions, backtests, bank linking, and agent/borrower scores. Payment-protected MCP tools (run_prediction, run_backtest, link_bank_account, get_agent_reputation_score, get_borrower_score, by-email variants) with x402 flow (Aptos + Base). Skill handles 402 β pay β retry. Wallet attestation for onboarding. For marketplaces where agents download and use skills autonomously.
Autonomous Research
Conduct comprehensive research independently. Find information, analyze sources, synthesize findings, and create detailed reports without human guidance.
Autonomous Execution
Platforms
Automate my ai agent tasks using autonomous-loops
Identifies repetitive steps in your workflow and sets up autonomous-loops to handle them automatically
Execute tasks end-to-end while respecting safety boundaries. Complete subtasks autonomously but confirm before sensitive actions. Handles errors intelligentl...