sfcc-caching

sfcc-caching is a Backend performance & caching skill for AI agents, published by taurgis in the sfcc-dev-mcp repository on GitHub. Skillspace rates sfcc-caching D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Unified caching playbook for SFCC (page cache vs custom cache vs service response cache). Use this when improving performance, reducing external calls, designing cache keys/TTLs, or debugging stale cache behavior.

Grade
D
Quality
68 / 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
100 / 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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