synthetic-userstudies
synthetic-userstudies is a User interviews & surveys skill for AI agents, published by exiao in the skills repository on GitHub. Skillspace rates synthetic-userstudies C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Run synthetic user research sessions natively — no backend required. The agent plays an AI-generated persona and simulates a user interview based on the 4 Ps framework (Persona, Problem, Promise, Product). Use when a user wants to run a user research session, interview a synthetic persona, validate product ideas, generate user personas, or simulate customer conversations. Triggers on "user research", "synthetic persona", "simulate a user", "userstudies", "interview a persona", "validate my idea", or "talk to a user".
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 35
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
Not checked 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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