iceberg

iceberg is a Data warehousing & modelling skill for AI agents, published by gordonmurray in the data-engineering-skills repository on GitHub. Skillspace rates iceberg D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Apache Iceberg table format expertise for data lakehouses. Use when the user mentions Iceberg, lakehouse, table format v2 or v3, deletion vectors, partition evolution, time travel, snapshot isolation, Polaris, Nessie, REST catalogs, metadata.json, manifest lists, snapshots, Spark, Flink, Trino, Athena, Snowflake, or table maintenance.

Grade
D
Quality
68 / 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
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
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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