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
Grillingmattpocock/skills
Test your plan thoroughly with clear step-by-step interview questions
Analyze Projectlllllllama/rigorpilot-skills
Safe read-only analysis of deep learning repos for understanding and risk detection
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Repo Intake And Planlllllllama/rigorpilot-skills
Scan a repo, find commands, and get a simple reproduction plan
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports
Obsidian Vaultmattpocock/skills
Search create and organize notes with wikilinks and index notes easily