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Prefix shell commands with rtk to apply the token-optimizing proxy (60–90% savings on Git, pytest, ruff, Fabric CLI, file ops).
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Based on SOC occupation classification
Develop Fabric notebooks using a local closed-loop cycle — author in .py locally, build to .Notebook format, deploy via REST API, execute, monitor, diagnose errors, fix, and redeploy. Use for iterative notebook development without portal interaction. Typically converges in 1–3 iterations. Cold-start time varies by capacity tier (≈3 min on F64, up to 8–12 min on F2/F4).
Operate and maintain a Fabric data platform — orchestrate pipeline DAGs, run VACUUM, update platform inventory, manage workspace items, and execute operational routines. Use for day-to-day platform operations, maintenance windows, GDPR purges, or environment setup.
Create, deploy, and test a Fabric Data Factory pipeline that chains all topic notebooks in order (download → bronze → dq_bronze → silver → dq_silver → gold → dq_gold). Use after all notebooks for a topic have been individually deployed and smoke-tested.
Generate deterministic synthetic CSV files under data/sandbox/ using the data_mock_generate MCP tool. Use when no real source file exists for a new or demo topic and you need staged data to build the download/bronze/dq notebook pipeline against.
List, read, and interpret Microsoft Fabric Semantic Models (Power BI datasets). Use when an agent needs to understand available business metrics, DAX measures, table relationships, or column definitions before writing DAX queries, building reports, or validating Gold-layer outputs against business definitions.
Ingest local staged files (CSV, Parquet, JSON, Excel) into a Microsoft Fabric Lakehouse as Bronze Delta tables. Use when loading data from the target repo's data/sandbox/ into the Bronze layer. Handles sanitization, lineage envelope injection, and idempotent partition overwrite.
| name | rtk |
| description | Prefix shell commands with rtk to apply the token-optimizing proxy (60–90% savings on Git, pytest, ruff, Fabric CLI, file ops). |
RTK reduces token consumption 60–90% by filtering and compressing shell output before it reaches the AI.
rtk.Prefix every shell command with rtk. RTK applies its filter if one exists; otherwise the command runs unchanged.
| Workflow | Command |
|---|---|
| Git | rtk git status · rtk git log · rtk git diff |
| Python / ruff | rtk pytest · rtk ruff check · rtk pip |
| Fabric helpers | rtk fabric-vibe notebook ... · rtk fabric-vibe workspace ... · rtk fabric-vibe pipeline manage ... |
| Files | rtk ls · rtk find · rtk grep |
| Build | rtk tsc · rtk cargo build |
rtk gain — token savings summary for this sessionrtk discover — scan shell history to find new optimization opportunitiesrtk session — adoption tracking