maister:performance
maister:performance is a Backend performance & caching skill for AI agents, published by SkillPanel in the maister repository on GitHub. Skillspace rates maister:performance D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Orchestrates performance optimization workflows using static code analysis to identify bottlenecks (N+1 queries, missing indexes, O(n^2) algorithms, blocking I/O, memory leaks). Accepts optional user-provided profiling data. Reuses standard specification, planning, implementation, and verification phases.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 188
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
- 83 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.