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Deep Research 中文文档 A Claude Code Skill that transforms vague topics into high-quality, deliverable research reports using a systematic 8-step methodology with independent verification. The Problem When researching complex topics, you often face: Information overload: Too many sources, hard to distinguish quality Fuzzy conclusions: "I feel like X" instead of evidence-based reasoning Missing traceability: Can't verify where conclusions came from Time-sensitivity blindness: Using outdated information in fast-moving fields like AI Unverified claims: No independent check before publishing conclusions Traditional research is time-consuming, and conclusions are often unreliable.
| Stars | 324 |
| Forks | 20 |
| Category | AI Tool |
| License | MIT |
| Quality Score | 66.2724006564145/100 |
| Open Issues | 3 |
| Last Updated | 2026-02-25 |
| Created | 2026-01-14 |
| Est. Tokens | ~4k |
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Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
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deep-research is Deep Research Methodology (8-step) - Transform vague topics into high-quality research reports with systematic fact extraction and verifiable conclusions. It is categorized as a AI Tool with 324 GitHub stars.
You can find installation instructions and usage details in the deep-research GitHub repository at github.com/wshuyi/deep-research. The project has 324 stars and 20 forks, indicating an active community.
deep-research is released under the MIT license, making it free to use and modify according to the license terms.
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