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synthesize-research Skill

AI Agent SkillPythonOpen source

Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations. Published by anthropics in knowledge-work-plugins.

What is synthesize-research Skill?

Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations. 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
  • Data analysis
  • Research
  • Data analysis use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use synthesize-research Skill

  • 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: product-management/skills/synthesize-research/SKILL.md

What it does

Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.

Skill instructions

Synthesize Research If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md. Synthesize user research from multiple sources into structured insights and recommendations. Usage /synthesize-research $ARGUMENTS Workflow 1. Gather Research Inputs Accept research from any combination of: - Pasted text: Interview notes, transcripts, survey responses, feedback - Uploaded files: Research documents, spreadsheets, recordings summaries - ~~knowledge base (if connected): Search for research documents, interview notes, survey results - ~~user feedback (if connected): Pull recent support tickets, feature requests, bug reports - ~~product analytics (if connected): Pull usage data, funnel metrics, behavioral data - ~~meeting transcription (if connected): Pull interview recordings, meeting summaries, and discussion notes Ask the user what they have: - What type of research? (interviews, surveys, usability tests, analytics, support tickets, sales call notes) - Ho

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Frequently asked questions

What is synthesize-research?

synthesize-research is a open-source AI agent skill with Copy skill directory. Synthesize user research from interviews, surveys, and feedback into structured insights.

Who is synthesize-research best for?

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

How do I install synthesize-research?

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

Is synthesize-research actively maintained?

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

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Forks
2,657
Last commit
9 days ago
Repository age
6 months
License
Apache-2.0

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