endless-loop

Autonomous Recursive Agent Loop

Ditch the one-and-done prompting cycle. Endless Loop transforms your AI agent into an autonomous researcher that works continuously on complex objectives. Inspired by Karpathy's autoresearch, this skill enables an iterative workflow where each cycle builds upon the discoveries of the last, preventing hallucinations and repetitive outputs through a smart state-management system.

What it does

• Continuous Execution: Research, analyze, or optimize indefinitely (or up to a set limit) without manual intervention.
• State-Safe Persistence: Every finding is logged to a local state directory. If the process crashes or you stop it, you can resume exactly where you left off.
• Smart Context: Automatically builds a "memory" of previous iterations, including summaries and a "do-not-repeat" list, ensuring the agent always finds fresh information.
• Karpathy Mode: Specifically designed for codebase optimization; the agent forms hypotheses, edits code, runs tests, and reverts regressions automatically.

Why use this skill?

Standard prompts often hit context limits or plateau in detail. This skill solves the "depth problem" by breaking a massive objective into incremental units of work. While you sleep, the agent can perform deep-dive market analysis, lead generation, or project-wide refactoring, delivering a comprehensive markdown report with timestamped findings and executive summaries.

Supported Capabilities

• Full integration with Web Search, Web Fetch, and File System tools.
• Automated Bash execution for testing and environment checks.
• Sub-agent orchestration for specialized sub-tasks.