User research data can be messy. Interview transcripts, survey results, and support tickets pile up fast. This skill turns that chaos into clear themes, insights, and actionable recommendations. Anyone on a product team can use it to understand customers better.
You just paste your raw data or upload a file. The skill pulls out the most important patterns and groups them into user segments. It also creates a prioritized list of next steps with impact and effort ratings. This saves hours of manual analysis and helps you make decisions based on real user feedback.
Direct quotes from participants stay front and center. That makes your findings credible and easy to share with stakeholders. Whether you run interviews, surveys, or usability tests, this tool helps you see the big picture fast.
Global
mkdir -p ~/.claude/skills/research-synthesisProject
mkdir -p .claude/skills/research-synthesisSource Repository
Lark Baselarksuite/cli
Simplify your Lark Base data with tables, fields, records, and views
Lark Wikilarksuite/cli
Manage your Lark Wiki spaces, members, and documents with simple commands
Paper Context Resolverlllllllama/ai-paper-reproduction-skill
Resolve deep learning paper reproduction gaps with precise primary source evidence
Repo Intake And Planlllllllama/ai-paper-reproduction-skill
Scan a repo, extract commands, and get a minimal reproduction plan
Minimal Run And Auditlllllllama/ai-paper-reproduction-skill
Run commands and capture normalized evidence for reproducible deep learning research
Firecrawl Searchfirecrawl/cli
Search the web and extract full page content as markdown for deeper research
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports