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research-synthesis Skill

AI Agent SkillPythonOpen source

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. Published by anthropics in knowledge-work-plugins.

What is research-synthesis Skill?

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. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Documentation
  • Data analysis
  • Research
  • Testing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use research-synthesis Skill

  • Use it for testing.
  • Use it for documentation.
  • Use it for data analysis.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/knowledge-work-plugins
  • Skill file: design/skills/research-synthesis/SKILL.md

What it does

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 instructions

/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 markdown 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

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Frequently asked questions

What is research-synthesis?

research-synthesis is a open-source AI agent skill with Copy skill directory. 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.

Who is research-synthesis best for?

research-synthesis is best for reusing agent instructions, scripts, and references, testing workflows, documentation workflows, data analysis workflows.

How do I install research-synthesis?

Install or run research-synthesis using Copy skill directory. Check research-synthesis for the latest setup command.

Is research-synthesis actively maintained?

research-synthesis may need a closer maintenance check before production use.

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License
Apache-2.0

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