Agent skill · AI & Agents

research-synthesize

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

rUv72,748★ · +654/wk · 4 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add ruvnet/ruflo --skill research-synthesize --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: mcp__plugin_ruflo-core_ruflo__memory_searchmcp__plugin_ruflo-core_ruflo__memory_search_unifiedmcp__plugin_ruflo-core_ruflo__memory_listmcp__plugin_ruflo-core_ruflo__memory_retrievemcp__plugin_ruflo-core_ruflo__memory_storemcp__plugin_ruflo-core_ruflo__agentdb_context-synthesizemcp__plugin_ruflo-core_ruflo__agentdb_pattern-searchmcp__plugin_ruflo-core_ruflo__neural_predictBashReadWrite
Path: plugins/ruflo-goals/skills/research-synthesize/SKILL.md
Open the folder on GitHub →
Where it comes from
Source: ruvnet/ruflo
Stars: 67,015 · +629 this week
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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-

What's inside
Steps it walks through
  1. When to use
  2. Steps
  3. Output format
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About this skill
What does the research-synthesize skill do?

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

How do I install it?

Run `npx skills add ruvnet/ruflo --skill research-synthesize --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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