Summary
This one walks you through the full UX research lifecycle, from discovery interviews to A/B test analysis. What makes it useful is the forced method justification (you have to explain why you picked interviews over surveys given your constraints) and the confidence tagging on every finding. It includes ISO baselines for usability and accessibility, a decision tree for picking methods fast, and stage-specific research plans from discovery through growth. The required output sections push you to separate findings from recommendations and document PII handling upfront. Good for product teams who treat research as decision insurance, not just user empathy theater.
Install to Claude Code
npx -y skills add vasilyu1983/ai-agents-public --skill software-ux-research --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
