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/research-synthesize

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

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ruflo
80k200 skills169 agents196 commands3 MCP

Claude Code

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

SKILL.md

research-synthesize.SKILL.md
name: research-synthesize
description: Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
argument-hint: "<topic> [--format report|brief|table]"
allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_search_unified mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search mcp__plugin_ruflo-core_ruflo__neural_predict Bash Read Write

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
  • Synthesize the findings yourself from what the searches return. `mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize` is not a document synthesizer: it summarizes validated task episodes (task, reward, success) and answers `no-memories` or `no-eligible-episodes` for research notes and sources, which is the correct answer, not missing research

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]
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Questions about research-synthesize.

Which coding agents can use research-synthesize?
research-synthesize installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.