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Recursive AI Research Skill for Claude Code / OpenClaw / Codex

A GitHub project provides a recursive AI research skill for Claude Code, OpenClaw, and Codex, enabling AI agents to autonomously conduct deep research by iteratively searching, reading, and synthesizing information from the web.

Background

- This is an open-source project (by developer Toadoum) that gives AI coding assistants—like Claude Code, OpenClaw, or Codex—the ability to recursively improve their own research skills.\n- "Recursive" here means the AI can use its own output to generate better prompts or strategies for itself, creating a self-improving loop.\n- The tool is designed for advanced users who want an AI agent that can autonomously explore a topic, synthesize findings, and refine its approach without step-by-step human guidance.\n- It sits in the ecosystem of "agentic" AI tools (like Anthropic's Claude Code or OpenAI's Codex), which let large language models execute multi-step tasks rather than just answering single questions.

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