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Weizhena/Deep-Research-skills

Python Tracked since 2025-12-29 Updated 2026-09-12 View source ↗

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Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control

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Inspired by RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context

A structured research workflow skill for Claude Code, OpenCode, and Codex, supporting two-phase research: outline generation (extensible) and deep investigation. Human-in-the-loop design ensures precise control at every stage.

Important: In OpenCode, ANY model's websearch requires OPENCODEENABLEEXA=1. A plain export only affects the current shell; writing it to /.bashrc makes it persistent. Without it, you only get web fetch, which is weaker for the deep research phase.

Add or update /.codex/config.toml using either…

Excerpted from github.com/Weizhena/Deep-Research-skills

Latest metrics

Stars 2.1k 2026-09-12
Forks 173 2026-09-12
Commits 49 2026-09-12
Releases 0 2026-09-12
Watchers 14 2026-09-12
Open issues 0 2026-09-12
Open PRs 0 2026-09-12