performance-optimization
performance-optimization is a Backend performance & caching skill for AI agents, published by hmislk in the hmis repository on GitHub. Skillspace rates performance-optimization D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Performance optimization patterns for the HMIS project. Use when optimizing slow queries, improving autocomplete performance, tuning database queries, reducing page load times, optimizing report generation, or investigating performance issues.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 222
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
- 79 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 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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