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Deep-Research-skills

Provides structured deep research capabilities for Claude Code, OpenCode, and Codex, supporting a two-stage research process.

🌍 OverseasFreeOpen sourceResearch开源API
Platforms: WebAPI
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 1.1k
Source
GitHub
Added
2026-06-14
Last verified
2026-06-14
Deep-Research-skills

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

Academic researchTechnical researchMarket researchDue diligence

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

ResearchersDevelopersStudentsEnterprise teams

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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