kafka-consumer-lag
kafka-consumer-lag is a Streaming & real-time data skill for AI agents, published by lensesio in the agentic-engineering-for-apache-kafka repository on GitHub. Skillspace rates kafka-consumer-lag B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Analyse Kafka consumer group lag using the Lenses MCP server. Diagnoses lag causes (throughput bottlenecks, rebalancing, partition skew, stalled consumers) and suggests remediation. Use when user says "check consumer lag", "why are consumers slow", "lag report" or asks about consumer group health or offset progress. Do NOT use for resetting offsets or managing consumer groups.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 53
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
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Kafka consumer lag analysis via public Lenses MCP server
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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