research-synthesis
research-synthesis is a User interviews & surveys skill for AI agents, published by assimovt in the productskills repository on GitHub. Skillspace rates research-synthesis D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Synthesize user research into actionable insights using atomic research methods. Use when asked to synthesize research, organize user feedback, find patterns in interviews, summarize customer discovery, or turn raw notes into insights and recommendations.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 51
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
- 84 / 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
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