user-research-synthesis
user-research-synthesis is a User interviews & surveys skill for AI agents, published by yezannnnn in the agentGroup repository on GitHub. Skillspace rates user-research-synthesis D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze and synthesize user research findings following PM best practices. Use when the user provides user research data, interview transcripts, survey results, or user feedback that needs to be analyzed, synthesized, or summarized into insights and recommendations.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 146
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.