synthesis-frameworks
synthesis-frameworks is a User interviews & surveys skill for AI agents, published by slgoodrich in the agents repository on GitHub. Skillspace rates synthesis-frameworks C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Research synthesis frameworks including affinity mapping, thematic analysis, and insight generation. Use when synthesizing interview data, identifying patterns across research, extracting actionable insights, or building personas from findings. Trigger on: 'synthesize my research', 'what themes emerged from interviews', 'affinity mapping', 'turn research into insights', 'build a persona from this data'.
- Grade
- C
- Quality
- 74 / 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
- 100 / 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 qualitative research synthesis methodology
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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