retail-analytics-concierge
retail-analytics-concierge is a SQL analytics & reporting skill for AI agents, published by Amazon-Quick in the Amazon-Quick-official-catalog repository on GitHub. Skillspace rates retail-analytics-concierge C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Translates natural language questions into SQL queries, executes against the connected data warehouse, and presents results with visualizations. Enables non-technical retail users to self-serve analytics without writing SQL. Use when asked to 'how many units did we sell', 'show me returns by category', 'what is our revenue trend', 'top selling products', 'compare regions', 'query the data', or any analytical question about retail metrics.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 45
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT-0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic natural-language-to-SQL retail analytics assistant
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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