customer-research
customer-research is a Customer feedback analysis skill for AI agents, published by unifapi-agent in the agents repository on GitHub. Skillspace rates customer-research C (79/100) and it passed the safety scan; the rating is based on static analysis only.
When the user wants to research customers from public communities, or synthesize customer language, pains, and objections. Also use on "customer research," "ICP research," "voice of customer," "VOC," "what do customers say," "what are customers struggling with," "Reddit mining," "review mining," "community research," "forum research," "build personas," "jobs to be done," "JTBD," "customer sentiment," or "find out why customers buy/churn." Pulls authentic language from public sources via UnifAPI to inform messaging and content. For turning the findings into topics, see content-opportunity-brief. For writing copy from them, see copywriting.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 567
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
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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