Deep-Research-skills
Provides structured deep research capabilities for Claude Code, OpenCode, and Codex, supporting a two-stage research process.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.1k
- Source
- GitHub
- Added
- 2026-06-14
- Last verified
- 2026-06-14
Overview
Deep-Research-skills is a structured research workflow skill designed for Claude Code, OpenCode, and Codex. It supports a two-stage research process: outline generation (scalable) and in-depth investigation. Designed with human-machine collaboration to ensure precise control at each stage. This tool is suitable for academic research, technical research, market research, due diligence, and more. Users can generate research outlines with simple commands, add additional research items or field definitions, automatically perform web searches, and ultimately produce detailed Markdown reports.
Key features
- ▪Supports two-stage research: outline generation and in-depth investigation
- ▪Human-machine collaboration design ensures precise control
- ▪Suitable for multiple research scenarios
- ▪Automatically generates Markdown reports
Use cases
Pros
- +Structured research workflow
- +Supports multiple languages
- +Auto-generates reports
- +Easy to install and use
Limitations / notes
- -Requires internet connection
- -Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, the project is open-source and free.
Does it support Chinese?
Yes, both Chinese and English versions are available.
Can it be used commercially?
Yes, it is licensed under the MIT license.
Does it require an internet connection?
Yes, internet access is required for web searches.
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