b2c-querying-data
b2c-querying-data is a Databases & SQL skill for AI agents, published by SalesforceCommerceCloud in the b2c-developer-tooling repository on GitHub. Skillspace rates b2c-querying-data C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Write efficient data queries in B2C Commerce for products, customers, and orders. Use this skill whenever the user needs to search products on a storefront page, look up customer profiles, query orders, paginate search results, or fix slow category pages. Also use when they ask about performance problems with data access, replacing database-intensive APIs with index-backed alternatives, or choosing between search vs query methods — even if they just say "my category page is slow" or "how do I find customers by email".
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 48
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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