End-to-end run-image classification with Gemini, including image fetch, prompt control, and JSON output. Use when you need parking or pull-over labels from a run_id.
Find a Gen2 MCAP from a run (or model-derived run), list topics, and extract topic/field values at a specific log time. Use when debugging run-level protobuf signals such as controller_state.
Fetch Buildkite job logs and extract failure lines for debugging CI jobs. Use when a user provides build/job ids or requests failure signal from Buildkite.
Use when forming Spark/SQL queries for Databricks parking evaluation - provides table schemas, PySpark patterns, joins, and filter patterns for PUDO/UNPUDO analysis
Work with Databricks notebooks using the REST API - list, read, modify, and write notebooks back to Databricks workspace
Inspect Flyte execution status and per-node/per-task log URIs from a Flyte Console execution URL. Use when a user asks for workflow status, step status, or logs for flyte.data.wayve.ai/dev executions.
Shared Model Catalogue primitives (resolve model refs, find latest checkpoint, call API helpers) used by model lookup/summary/checkpoint/modelci skills. Use when model references must be normalized before downstream analysis.
Inspect checkpoint-level data for a model, including checkpoint licenses and run history. Use when a user asks for licenses or run-level evidence for a specific model/checkpoint.