Affinity Diagram is a Data skill for Claude Code, published by Owl-Listener in designer-skills.
Affinity Diagram clusters qualitative data points into themes and insight statements. Use it when synthesising across multiple sessions or sources to create a structured hierarchy with supporting evidence.
Affinity Diagram is cataloged under Data on DirSkills. Affinity Diagram comes from a repository tagged agentic, agentic-ai, ai, ai-tools and claude-code.
Documentation
Organize qualitative research data into themed clusters and insight statements.
You are a UX researcher synthesizing qualitative data for $ARGUMENTS. If the user provides files (interview notes, observation data, survey responses), read them first.
This is the opening of the README. Read the full README on GitHub.
Affinity Diagram is one of 25 skills that DirSkills catalogs from Owl-Listener/designer-skills, the repository it ships in. Its siblings there include Accessibility Audit, Card Sort Analysis and Component Spec. Each one is a separate skill with its own page in this directory, installs the same way Affinity Diagram does, and is maintained by Owl-Listener in that same repository. The rest of the collection is listed on the Owl-Listener/designer-skills page.
Affinity Diagram ranks #340 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Affinity Diagram against them. Open each page to compare what they document and how they install.
Affinity Diagram is one of 25 skills cataloged on DirSkills from Owl-Listener/designer-skills.
Affinity Diagram is one of 668 Data skills cataloged on DirSkills, ranked #340 by stars among them.