fory-performance-optimization
fory-performance-optimization is a Backend performance & caching skill for AI agents, published by apache in the fory repository on GitHub. Skillspace rates fory-performance-optimization C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Run profile-driven bottleneck optimization across Apache Fory implementations (Java, C++, Python/Cython, Go, Rust, Swift, C#, JavaScript/TypeScript, Dart, Kotlin, Scala). Use when improving serialize/deserialize throughput or latency, recovering regressions against a reference commit, diagnosing flamegraphs, fixing perf-related CI failures, or porting proven optimizations across languages without protocol or API regressions.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 4,418
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Optimizes Apache Fory's own multi-language serialization source code.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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