Research Synthesize
Synthesize research findings from memory into structured reports with evidence grading, contradic…
by ruvnet · MIT
The skill
Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
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.
Steps
- Gather findings — search across research namespaces:
mcp__plugin_ruflo-core_ruflo__memory_searchnamespaceresearchfor raw findingsmcp__plugin_ruflo-core_ruflo__memory_searchnamespaceresearch-sourcesfor referencesmcp__plugin_ruflo-core_ruflo__agentdb_pattern-searchfor discovered patternsmcp__plugin_ruflo-core_ruflo__agentdb_context-synthesizefor AI-assisted context building
- Grade evidence — for each finding, assess:
- High: Multiple independent sources agree, directly observed, reproducible
- Medium: Single credible source, indirectly supported, plausible
- Low: Anecdotal, single unverified source, speculative
- Resolve contradictions — when findings conflict:
- Identify the specific claim in tension
- Compare evidence quality
- Check recency (newer data may supersede)
- Note unresolved contradictions explicitly
- Predict relevance — call
mcp__plugin_ruflo-core_ruflo__neural_predictto score which findings are most relevant to the original goal - Structure report:
- Executive summary (2-3 sentences answering the original question)
- Key findings (ranked by evidence quality)
- Methodology (what sources were checked)
- Limitations (what wasn't checked, what remains uncertain)
- Recommendations (concrete next actions)
- References (source links and memory keys)
- Store synthesis — call
mcp__plugin_ruflo-core_ruflo__memory_storenamespaceresearch-synthesiswith the full report
Output format
# [Research Topic] — Synthesis Report
## Summary
[2-3 sentence answer]
## Key Findings
1. [Finding] — Evidence: High/Medium/Low
2. [Finding] — Evidence: High/Medium/Low
## Contradictions
- [Claim A] vs [Claim B]: [resolution or "unresolved"]
## Recommendations
1. [Action] — because [reasoning]
## Sources
- [key]: [description]
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: ruvnet/research-synthesize-68722160694.
Details
- Publisher
- ruvnet
- Category
- AI & Agents › Memory & context
- License
- MIT
- Updated
- 2026-10-18
References
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