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Weizhena/Deep-Research-skills

Python 首次收录 2025-12-29 更新于 2026-07-16 查看源 ↗

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

项目介绍

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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…

摘自 github.com/Weizhena/Deep-Research-skills

最新指标

Star 1.6k 2026-07-16
Fork 135 2026-07-16
提交 46 2026-07-16
发布 0 2026-07-16
Watcher 11 2026-07-16
开放 issue 0 2026-07-16
开放 PR 2 2026-07-16