customer-research
customer-research is a Customer feedback analysis skill for AI agents, published by hyperfx-ai in the marketing-skills repository on GitHub. Skillspace rates customer-research C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Mine online communities and analyze existing assets to understand what customers actually think, say, and struggle with. Use when the user wants to do customer research, ICP research, voice-of-customer (VOC), review mining, Reddit mining, YouTube comment analysis, G2/Capterra scraping, build customer personas, map jobs to be done, understand churn reasons, or find authentic customer language for copy. Also use when given transcripts, surveys, or support tickets to synthesize.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 55
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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