agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
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
How this skill gets triggered: by you, by Claude, or both.
/research-synthesizeContext preview
The summary Claude sees to decide when to auto-load this skill.
Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
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
Synthesize accumulated research findings into actionable reports.
After running deep-research (one or multiple times), when you need to pull together findings from memory into a coherent synthesis with recommendations.
1. **Gather findings** — search across research namespaces:
2. **Grade evidence** — for each finding, assess:
3. **Resolve contradictions** — when findings conflict:
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**:
6. **Store synthesis** — call `mcp__plugin_ruflo-core_ruflo__memory_store` namespace `research-synthesis` with the full report
# [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. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/ruflo
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