Weizhena/Deep-Research-skills
Structured deep research skill for Claude Code, OpenCode, and Codex with human-in-the-loop control.
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A skill package that adds a two-phase deep research workflow to AI coding assistants such as Claude Code, OpenCode, and Codex. It generates an extensible outline, then performs deep investigation using a web-search agent and modular components. The design emphasizes human-in-the-loop checkpoints so users can review and steer each stage of the research process.
Frequently asked
- What is Weizhena/Deep-Research-skills?
- Structured deep research skill for Claude Code, OpenCode, and Codex with human-in-the-loop control.
- Is Deep-Research-skills open source?
- Yes — Weizhena/Deep-Research-skills is open source, released under the MIT license.
- What language is Deep-Research-skills written in?
- Weizhena/Deep-Research-skills is primarily written in Python.
- How popular is Deep-Research-skills?
- Weizhena/Deep-Research-skills has 2k stars on GitHub.
- Where can I find Deep-Research-skills?
- Weizhena/Deep-Research-skills is on GitHub at https://github.com/Weizhena/Deep-Research-skills.