skillZs
★ LIVE SKILL TAGS ★
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
※ REAL INSTALL DATA ※
← back to all skills
ruvnet/ruflo751 installs

research-synthesize

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

How do I install this agent skill?

npx skills add https://github.com/ruvnet/ruflo --skill research-synthesize
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill synthesizes research findings from local memory systems into structured reports using Model Context Protocol (MCP) tools. It does not exhibit any malicious behavior or security vulnerabilities.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

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]

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/ruvnet/ruflo/research-synthesize">View research-synthesize on skillZs</a>