research-synthesis

anthropics/knowledge-work-plugins · updated Apr 8, 2026

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

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

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.

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.640 reviews
  • Carlos Gill· Dec 24, 2024

    I recommend research-synthesis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Nia Farah· Dec 24, 2024

    research-synthesis reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Carlos Ramirez· Dec 20, 2024

    research-synthesis has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Soo Mehta· Dec 8, 2024

    research-synthesis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ganesh Mohane· Dec 4, 2024

    research-synthesis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ishan Smith· Nov 27, 2024

    research-synthesis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sakshi Patil· Nov 23, 2024

    research-synthesis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sophia Robinson· Nov 15, 2024

    Registry listing for research-synthesis matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sophia Li· Nov 11, 2024

    Solid pick for teams standardizing on skills: research-synthesis is focused, and the summary matches what you get after install.

  • Yash Thakker· Nov 3, 2024

    Keeps context tight: research-synthesis is the kind of skill you can hand to a new teammate without a long onboarding doc.

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