
Deep Research
This one stops you from doing what Claude normally does: answering research questions from memory or with one lazy web search. It enforces a proper research methodology with phases. Broad exploration first, then deep dives into each dimension you find, then diversity checks to make sure you have data, examples, expert opinions, and criticisms. The synthesis checklist at the end is useful: did you search from 3-5 angles, fetch full sources, get concrete examples. It's opinionated about temporal queries too, with specific rules about when to use day-level precision versus just the year. Load it before content generation tasks or any "what is X" question. The core insight is right: quality out requires quality research in.
- skills.sh installs
- 2.8K
- GitHub stars
- 85.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add bytedance/deer-flow --skill deep-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
Deep Research Skill
Overview
This skill provides a systematic methodology for conducting thorough web research. Use it when the requested claims need external verification; use supplied material and stable knowledge where sufficient.
When to Use This Skill
Consider this skill when depth and external verification are needed:
Research Questions
- User asks "what is X", "explain X", "research X", "investigate X"
- User wants to understand a concept, technology, or topic in depth
- The question requires current, comprehensive information from multiple sources
- A single web search would be insufficient to answer properly
Content Generation (Pre-research)
- Creating presentations (PPT/slides)
- Creating frontend designs or UI mockups
- Writing articles, reports, or documentation
- Producing videos or multimedia content
- Any content that requires real-world information, examples, or current data
Core Principle
Sponsors
Details
- Repository
- github.com/bytedance/deer-flow
- Categories
- Documentation, Data Science & ML
- First seen
- May 16, 2026
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