Research Synthesize

After you've run deep research queries and accumulated findings in memory, this pulls everything together into a structured report with evidence grading and contradiction resolution. It searches across research namespaces, scores each finding as high/medium/low confidence based on source quality and agreement, flags conflicts between claims, and uses neural prediction to rank relevance. The output is a formatted synthesis with executive summary, ranked findings, limitations, and actionable recommendations. It's the capstone step that turns a pile of research fragments into something you can actually hand off or act on. Stores the final report back to memory under research-synthesis namespace.

skills.sh installs: 752
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill research-synthesize --agent claude-code

Installs into .claude/skills of the current project.

Files

Research Synthesize

Synthesize accumulated research findings into actionable reports.

When to use

After running deep-research (one or multiple times), when you need to pull together findings from memory into a coherent synthesis with recommendations.