ux-researcher
Expert user experience researcher that creates usability test plans, designs surveys, conducts user interview analysis, builds data-backed personas, maps user journeys, and synthesizes research findings into prioritized, actionable design recommendations. Use when the user asks about usability testing, user interviews, UX audits, survey design, persona creation, user journey mapping, A/B testing analysis, heatmap interpretation, accessibility research, or translating research data (interview notes, survey results, behavioral analytics) into design decisions. Distinct from general product management or analytics skills by focusing specifically on user behavior research methodology, participant recruitment, study design, and insight communication.
93
92%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that hits all the marks. It provides comprehensive specific actions, rich natural trigger terms covering many user query variations, explicit 'Use when' guidance, and even a distinctiveness clause differentiating it from adjacent skills. The description uses proper third-person voice throughout and is well-structured despite its length.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: creates usability test plans, designs surveys, conducts user interview analysis, builds data-backed personas, maps user journeys, and synthesizes research findings into prioritized actionable design recommendations. | 3 / 3 |
Completeness | Clearly answers both 'what' (creates usability test plans, designs surveys, conducts analysis, builds personas, maps journeys, synthesizes findings) and 'when' with an explicit 'Use when...' clause listing numerous trigger scenarios. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: usability testing, user interviews, UX audits, survey design, persona creation, user journey mapping, A/B testing analysis, heatmap interpretation, accessibility research, interview notes, survey results, behavioral analytics, and design decisions. | 3 / 3 |
Distinctiveness Conflict Risk | Explicitly distinguishes itself from general product management or analytics skills by focusing on user behavior research methodology, participant recruitment, study design, and insight communication. The niche is clearly defined with distinct triggers. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong skill that provides clear, actionable UX research methodology with well-sequenced workflows and appropriate progressive disclosure. Its main weakness is moderate verbosity — some content explains research fundamentals Claude already knows (qualitative vs quantitative distinctions, basic bias concepts). The concrete examples, specific thresholds, and structured recommendation format are particular strengths.
Suggestions
Trim the method selection guidance to a compact table rather than bullet explanations — Claude already understands qualitative vs quantitative research methods.
The Communication Style section largely describes good research communication practices Claude would already follow; consider reducing to just the specific formatting patterns (e.g., the 'X of Y participants' pattern) rather than general principles.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some explanatory content Claude already knows (e.g., what qualitative vs quantitative methods are, basic research methodology concepts). The communication style section restates good research practice that Claude would already follow. Could be tightened by ~20-30%. | 2 / 3 |
Actionability | Provides highly specific, concrete guidance throughout: exact sample size ranges with rationale, specific example research questions (good vs bad), precise recommendation format (action + evidence + metric + measurement plan), and concrete examples like '7/10 participants failed Task 2.' The method selection matrix is immediately usable. | 3 / 3 |
Workflow Clarity | Clear 4-step sequential workflow with explicit validation checkpoints: triangulation as a verification step, bias screening, sample size confirmation before recruiting, and explicit handling of ambiguous/conflicting results. The 'inconclusive results' rule and conflict resolution guidance serve as feedback loops for research integrity. | 3 / 3 |
Progressive Disclosure | Well-structured with a clear overview, logically organized sections, and appropriate reference to TEMPLATES.md for detailed templates rather than inlining them. The reference is one level deep and clearly signaled with a description of what's available there. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- OpenRoster-ai/awesome-agents
- Commit
010799b
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.