research-synthesis
research-synthesis is a User interviews & surveys skill for AI agents, published by Lemoncode in the master-frontend-lemoncode repository on GitHub. Skillspace rates research-synthesis D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 184
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
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 13 other repositories, in 9 collections
- Scope
- Portable: works in any project. Generic user research synthesis method
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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