/research-synthesize
Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
$ npx -y skills add ruvnet/ruflo --skill research-synthesize --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/research-synthesize
Context preview
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Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
SKILL.md
research-synthesize.SKILL.mdname: 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
- `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]
Read more
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
- `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]
An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.
Repo: ruvnet/ruflo
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