interview-frameworks
interview-frameworks is a User interviews & surveys skill for AI agents, published by slgoodrich in the agents repository on GitHub. Skillspace rates interview-frameworks C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Frameworks for user interviews, question design, and qualitative research. Use when conducting user interviews, designing interview guides, researching user needs, or gathering qualitative insights. Trigger on: 'create an interview guide', 'how do I interview users', 'customer discovery questions', 'user research plan', 'validate assumptions with interviews'.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 111
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General user interview and qualitative research frameworks
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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