# Research Synthesize

> Synthesize research findings from memory into structured reports with evidence grading, contradic…

Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations

- Page: https://ss33.ai/skills/ruvnet/research-synthesize-68722160694
- Publisher: ruvnet
- Category: [AI & Agents](https://ss33.ai/skills/category/ai-and-agents-y6jz7i) › [Memory & context](https://ss33.ai/skills/category/ai-and-agents-y6jz7i/memory-and-context-5m28a5)
- License: MIT
- Source: https://github.com/ruvnet/ruflo/blob/b93144803bb171b12993b715fe7b2dd936b6edd5/plugins/ruflo-goals/skills/research-synthesize/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/ruvnet/research-synthesize-68722160694

# 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

1. **Gather findings** — search across research namespaces:
   - `mcp__plugin_ruflo-core_ruflo__memory_search` namespace `research` for raw findings
   - `mcp__plugin_ruflo-core_ruflo__memory_search` namespace `research-sources` for references
   - `mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search` for discovered patterns
   - `mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize` for AI-assisted context building
2. **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
3. **Resolve contradictions** — when findings conflict:
   - Identify the specific claim in tension
   - Compare evidence quality
   - Check recency (newer data may supersede)
   - Note unresolved contradictions explicitly
4. **Predict relevance** — call `mcp__plugin_ruflo-core_ruflo__neural_predict` to score which findings are most relevant to the original goal
5. **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)
6. **Store synthesis** — call `mcp__plugin_ruflo-core_ruflo__memory_store` namespace `research-synthesis` with 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]
```