
Research Synthesize
FreeTransform research findings into structured reports.
Free · Opens the source repo
What Research Synthesize does
Research Synthesize is a powerful tool designed for researchers and analysts who need to compile and synthesize findings from extensive research efforts. This skill enables users to gather insights from various research namespaces, assess the quality of evidence, and resolve any contradictions in the data. By following a structured approach, users can create comprehensive reports that not only summarize key findings but also provide actionable recommendations based on the evidence gathered.
The skill operates by first collecting findings from different research namespaces, allowing users to access raw data, references, and discovered patterns. Once the data is gathered, users can grade the evidence based on its reliability—ranging from high to low quality—ensuring that the conclusions drawn are well-supported. In cases where findings conflict, the skill provides a systematic method for resolving these contradictions, helping users to clarify the data and understand the nuances of the research.
After synthesizing the findings, the skill structures the report to include an executive summary, key findings ranked by evidence quality, and clear recommendations for future actions. This organized format not only aids in understanding the research but also makes it easier to communicate results to stakeholders. Finally, the synthesized report is stored for future reference, ensuring that valuable insights are not lost and can be revisited as needed.
Research Synthesize is ideal for academic researchers, data analysts, and professionals who need to distill complex information into clear, actionable reports. Its systematic approach to evidence grading and contradiction resolution makes it a reliable choice for anyone looking to enhance the quality and clarity of their research outputs.
When to use it
Use this skill after conducting extensive research when you need to consolidate findings and create structured reports with recommendations.
When not to use it
This skill may not be suitable for quick, informal notes or when immediate insights are required without thorough analysis.
What you can build with it
Academic Research Compilation
After conducting multiple studies, use this skill to compile findings into a coherent report for publication.
Data Analysis for Business Decisions
Synthesize market research findings to provide actionable insights for strategic business planning.
Resolving Conflicting Research Data
When faced with contradictory findings, utilize the skill to clarify and resolve discrepancies in the data.
How to install Research Synthesize
View source1. Install with the skills CLI
npx skills add ruvnet/ruflo/research-synthesize --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by ruvnetResearch 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]
Frequently asked questions about Research Synthesize
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