Performance Optimizer

Performance Optimizer is a Backend performance & caching skill for AI agents, published by MarioDeFelipe in the sap-datasphere-plugin-for-claude-cowork repository on GitHub. Skillspace rates Performance Optimizer D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Optimize Datasphere performance NOW! Use when views run slow, queries timeout, or data flows lag. Analyze bottlenecks, tune execution plans, optimize persistence, manage storage. Keywords: slow query, performance, bottleneck, timeout, memory, CPU, execution plan, view optimization, partition, index.

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
25

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
86 / 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

  • Category is a classifier prediction; no model has read this skill 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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