Author a new skill for this repo end to end — take a topic, check for existing coverage, drill the official docs behind it, write a filled handoff brief to docs/handoffs/, then draft the SKILL.md and run the post-draft checks. Use when asked to write, author, create, or scaffold a new skill, or when a drift-audit…
Review code for correctness, naming conventions, style, error handling, security, and scaling concerns. Use when reviewing code, checking a diff, auditing a function, or asking about code quality. Covers Python, PySpark, SQL, KQL, DAX, and data-engineering patterns.
Use when asked to commit changes — /commit, 'commit this', 'make the commits', 'commit these split logically'. Splits working-tree changes into logical, self-consistent commits (ordering so nothing dangles, stepping files that straddle commits through intermediate states), writes conventional-commit messages…
Audit registered upstream docs sources for drift since a prior commit SHA or date — detect new GA / preview features, syntax additions, deprecations, and harness or tooling changes that affect existing skills, rules, CLAUDE.md, settings.json, hooks, or the MCP templates. Sources live in a registry…
Turn a completed drift-audit report into handoff briefs on disk. Use immediately after a /drift-audit run, or when the user asks to prepare handoffs, write up the findings, or capture the recommended actions from an audit. Writes one directory per run — docs/audits/ / / — holding the audit report verbatim as…
Execute the handoff briefs a /drift-handoff run wrote to docs/audits/ / / — apply each brief's edits, run its own verification steps, and stamp it done. Use when the user says to execute, apply, action, or work through the drift handoffs or briefs, or points at a docs/audits directory. Reads briefs from disk and never…
Use for Microsoft Fabric AI Functions (Data Science) — one-line LLM transformations on pandas and PySpark DataFrames in Fabric notebooks: ai.analyzesentiment, ai.classify, ai.extract, ai.embed, ai.summarize, ai.translate, ai.fixgrammar, ai.generateresponse, ai.similarity. Covers the two import paths (synapse.ml.aifunc…
Use when authenticating to Microsoft Fabric APIs — getting 401 Unauthorized errors, choosing token audience/scope for Fabric REST, Power BI REST, OneLake, Warehouse/SQL, KQL, XMLA, or Azure ARM, or running az login / az account get-access-token / az rest for Fabric. Covers the full token-audience table, the…
Use for the fabric-cicd Python library (pip install fabric-cicd, v1.3 Aug 2026, Python 3.9–3.13) — Microsoft's official code-first CI/CD library for Fabric workspaces: FabricWorkspace, publishallitems, unpublishallorphanitems, deploywithconfig + config.yml, and parameter.yml (findreplace, keyvaluereplace, sparkpool…
Use for the Fabric CLI fab (v1.5 GA March 2026, pip install ms-fabric-cli, Python 3.10–3.13, pre-installed in Fabric Notebooks) — filesystem-style CLI over Fabric + Power BI REST. Covers path syntax (Workspace.Workspace/Item.ItemType, .ItemType suffix mandatory, hidden roots…
Use for Fabric Data Factory Copy job — the no-pipeline data-movement item (CopyJob) for many-source→many-destination ingestion. Covers copy modes (full vs incremental), watermark-based incremental (GA: ROWVERSION/datetime/int columns) vs CDC-based incremental (Preview: captures inserts/updates/deletes, SCD Type 2…
Use when configuring Microsoft Fabric Data Agents (GA March 2026) — conversational Q&A over Lakehouse / Warehouse / KQL / Semantic Model / Fabric SQL DB / Mirrored DB / Ontology / MS Graph (≤5 sources per agent), consumed in-product or via the agent's MCP endpoint (Assistants API and Copilot-in-Power-BI paths retired…
Use when working with Fabric SQL Database — the Azure SQL Database hosted inside a Fabric workspace. Key point: this is a DIFFERENT engine from Fabric Warehouse and does NOT share its restrictions. nvarchar/datetime/money/triggers/MERGE/ALTER COLUMN/recursive CTEs/FOR XML/temporal tables/full-text search all work.…
Use for Microsoft Fabric Eventhouse / KQL Database. Covers connection (cluster URI via kqlDatabases REST, kusto.kusto.windows.net audience, az rest temp-file for | escaping), authoring (.create-merge for safe schema evolution, ingestion inline/set-or-append/from-storage ;impersonate, streaming policy, CSV/JSON…
Use for Microsoft Fabric Eventstream — the streaming-ingestion item routing CDC / Event Hubs / Kafka / IoT / HTTP / MQTT events into Lakehouse, Eventhouse, Activator, or derived streams, and producing events to a schema-associated custom endpoint. Covers source connectors (Azure SQL / SQL MI / PostgreSQL / MySQL /…
Use when troubleshooting Microsoft Fabric — common errors: 401 (wrong token audience), 403 on Power BI API (Viewer role), 404 EntityNotFound (permissions masquerading), PowerBIEntityNotFound (logicalId vs runtime ID), Login failed (wrong Initial Catalog), 24556/24706 snapshot conflict, nvarchar/datetime/money errors…
Use for Microsoft Fabric Graph (the GraphModel item, GA June 2026) — a labeled property graph modeled over OneLake Delta tables and queried with GQL (ISO/IEC 39075), distinct from openCypher/Cypher and from the KQL graph operators in Eventhouse. Covers the GraphModel REST path and GQL Query API (POST…
Use for Mirroring in Fabric — the MirroredDatabase item that brings an external database or catalog into OneLake with no ETL pipeline. Three kinds, and which each source uses: database mirroring (continuous replication to Delta — Azure SQL DB/MI, SQL Server, Cosmos DB, PostgreSQL, MySQL, Oracle, SAP, BigQuery)…
Use for Fabric Materialized Lake Views (MLVs) — CREATE MATERIALIZED LAKE VIEW Spark SQL (GA March 2026) + still-preview @fmlv.materializedlakeview PySpark decorator on a schema-enabled lakehouse (Runtime 1.3). Covers CREATE / SHOW / ALTER RENAME / DROP / REFRESH FULL syntax, CONSTRAINT ... CHECK ... ON MISMATCH…
Use for Microsoft Fabric Real-Time Dashboards (KQLDashboard item) — authoring or editing RealTimeDashboard.json by hand or via Git: file anatomy (queries[] holds all KQL text; tiles reference it by queryRef.queryId; baseQueries are {id, variableName, queryId} wired through usedVariables), load-time validation (every…
Use for Microsoft Fabric REST API patterns: listing and paginating workspaces/items with continuationToken/continuationUri, calling /v1/workspaces/{wsId}/items, handling long-running operations (202 Accepted, Location header, polling /v1/operations/{id}, Retry-After, /result), the runtime item ID vs .platform…
Use when configuring AI instructions on a Power BI semantic model — the 10,000-character blob attached via Prep data for AI → Add AI instructions in Desktop or the service. Applies everywhere Copilot uses the model (reports, Q&A, Copilot pane). Covers what belongs in the blob (business context, terminology, date…
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