flink-optimizer
flink-optimizer is a Streaming & real-time data skill for AI agents, published by razorpay in the trino-gateway repository on GitHub. Skillspace rates flink-optimizer B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize Flink job code and configuration based on runtime metrics and execution flow graph. Use when user asks to "optimize Flink job", "analyze Flink job performance", "check for backpressure", "review Flink DAG", "find Flink configuration issues", or provides a Flink cluster URL with job ID. Analyzes running jobs from Flink UI (via REST API), reviews YAML jobspec configuration, examines Java DAG construction code, and identifies optimization opportunities including backpressure, data skew, dead code/wiring, incorrect stream connections, checkpoint issues, memory configuration, and inefficient aggregations.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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