deep-research
SolidMulti-phase structured research pipeline with citation tracking, evidence persistence, and knowledge-graph-native output. Use when the user asks for "deep research", "comprehensive analysis", "literature review", "research report", "state of the art on", "structured research pipeline", "multi-source investigation", or wants a citation-tracked report saved to the knowledge graph. Different from a single-pass web-search lookup (quick answers). this skill is for multi-phase work that needs evidence persistence, claim-level verification, and entity cross-references in the knowledge graph. 4 mode tiers (quick / standard / deep / ultradeep) with 3-8 phases each. Outputs to `pages/Research___YYYY-MM-DD___[topic-slug].md` with auto-created `Entity/` and `Source/` cross-link pages.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- 0xUrsanomics
- Repository
- 0xUrsanomics/utopia-os
- Created
- 5 days ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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