sfcc-performance

sfcc-performance is a Backend performance & caching skill for AI agents, published by taurgis in the sfcc-dev-mcp repository on GitHub. Skillspace rates sfcc-performance D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Performance optimization strategies for Salesforce B2C Commerce Cloud including caching, efficient data retrieval, index-friendly APIs, and job optimization. Use when asked about SFCC performance, caching strategies, or optimization.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
27

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.

View source on GitHubtaurgis/sfcc-dev-mcp

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
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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