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Skills/anthropics/knowledge-work-plugins/research-synthesis
research-synthesis logo

research-synthesis

anthropics/knowledge-work-plugins
2K installs21K stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/anthropics/knowledge-work-plugins --skill research-synthesis

Summary

Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.

SKILL.md

/research-synthesis

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Synthesize user research data into actionable insights. See the user-research skill for research methods, interview guides, and analysis frameworks.

Usage

/research-synthesis $ARGUMENTS

What I Accept

  • Interview transcripts or notes
  • Survey results (CSV, pasted data)
  • Usability test recordings or notes
  • Support tickets or feedback
  • NPS/CSAT responses
  • App store reviews

Output

## Research Synthesis: [Study Name]
**Method:** [Interviews / Survey / Usability Test] | **Participants:** [X]
**Date:** [Date range] | **Researcher:** [Name]

### Executive Summary
[3-4 sentence overview of key findings]

### Key Themes

#### Theme 1: [Name]
**Prevalence:** [X of Y participants]
**Summary:** [What this theme is about]
**Supporting Evidence:**
- "[Quote]" — P[X]
- "[Quote]" — P[X]
**Implication:** [What this means for the product]

#### Theme 2: [Name]
[Same format]

### Insights → Opportunities

| Insight | Opportunity | Impact | Effort |
|---------|-------------|--------|--------|
| [What we learned] | [What we could do] | High/Med/Low | High/Med/Low |

### User Segments Identified
| Segment | Characteristics | Needs | Size |
|---------|----------------|-------|------|
| [Name] | [Description] | [Key needs] | [Rough %] |

### Recommendations
1. **[High priority]** — [Why, based on which findings]
2. **[Medium priority]** — [Why]
3. **[Lower priority]** — [Why]

### Questions for Further Research
- [What we still don't know]

### Methodology Notes
[How the research was conducted, any limitations or biases to note]

If Connectors Available

If ~~user feedback is connected:

  • Pull support tickets, feature requests, and NPS responses to supplement research data
  • Cross-reference themes with real user complaints and requests

If ~~product analytics is connected:

  • Validate qualitative findings with usage data and behavioral metrics
  • Quantify the impact of identified pain points

If ~~knowledge base is connected:

  • Search for prior research studies and findings to compare against
  • Publish the synthesis to your research repository

Tips

  1. Include raw quotes — Direct participant quotes make insights credible and memorable.
  2. Separate observations from interpretations — "5 of 8 users clicked the wrong button" is an observation. "The button placement is confusing" is an interpretation.
  3. Quantify where possible — "Most users" is vague. "7 of 10 users" is specific.

Score

0–100
75/ 100

Grade

B

Popularity17/30

2,048 installs — growing adoption. Source repo has 20,680 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust25/25

Published by anthropics — an official/recognized organization.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Research Synthesis skill score badge previewScore badge

Markdown

[![Research Synthesis skill](https://www.claudemarket.ai/skills/anthropics/knowledge-work-plugins/research-synthesis/badges/score.svg)](https://www.claudemarket.ai/skills/anthropics/knowledge-work-plugins/research-synthesis)

HTML

<a href="https://www.claudemarket.ai/skills/anthropics/knowledge-work-plugins/research-synthesis"><img src="https://www.claudemarket.ai/skills/anthropics/knowledge-work-plugins/research-synthesis/badges/score.svg" alt="Research Synthesis skill"/></a>

Research Synthesis FAQ

How do I install the Research Synthesis skill?

Run “npx skills add https://github.com/anthropics/knowledge-work-plugins --skill research-synthesis” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Research Synthesis skill do?

Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Research Synthesis skill free?

Yes. Research Synthesis is a free, open-source skill published from anthropics/knowledge-work-plugins. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Research Synthesis work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Research Synthesis works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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