Step-by-step release workflow for fabio. Invoke when cutting a new release version. Covers: version bump, dependency freshness, documentation updates, validation, changelog, tagging, and post-release dev version bump.
Intent-scoped fabio skill for Fabric knowledge/graph and digital-twin modeling: ontology items (entity/relationship types and bindings), graph models, graph querysets, and Digital Twin Builder models/flows. Use to define/evolve ontologies, query graphs for agent grounding, and build operational digital twins. fabio can also export a tenant scan as OWL (context tenant --format owl) and import it. Triggers: "ontology", "fabric iq ontology", "knowledge graph", "graph model", "graph query", "entity type", "relationship type", "digital twin", "digital twin builder", "owl".
Intent-scoped fabio skill for Fabric CI/CD: stateless content-hash deploy (export/validate/plan/apply), Git integration, deployment pipelines, and variable libraries for environment-specific config. Use for promoting Fabric items between environments, Git lifecycle, and parameterized deployments. Triggers: "deploy", "ci/cd", "promote to production", "deploy plan", "deploy apply", "git commit", "git pull", "deployment pipeline", "variable library", "value set".
Pre-commit and pre-push validation for fabio contributions. Run this skill before committing or creating a PR to ensure code quality, formatting, test coverage, and documentation are all correct. Invoke when: ready to commit, preparing a PR, reviewing changes before push.
Manage Microsoft Fabric artifacts and data using the fabio CLI - an agent-native command-line tool with 856+ subcommands across 77 groups, structured JSON output, composable piping, and machine-readable errors. Use when working with Fabric workspaces, lakehouses, warehouses, notebooks, eventhouses, semantic models, reports, data pipelines, KQL databases, eventstreams, deploy CI/CD, REST passthrough, Power BI API, capacity lifecycle, app-backend (Power Apps), data-build-tool-job (dbt), org-app (Organizational App), azure-databricks-storage (Azure Databricks integration), or any Fabric REST API resource. Covers CRUD operations, file upload/download, SQL/DAX/KQL queries, execution plans, query monitoring and insights, Git integration, deployment pipelines, CI/CD deploy (plan/apply/export/validate/config-file/git-diff), natural language to KQL, KQL schema discovery and diagnostics, and administration.
Intent-scoped fabio skill for Fabric geospatial maps: create, inspect, and update map items and their definitions. Use to manage location/geospatial visualizations backed by Fabric data. Triggers: "map", "geospatial", "create map", "location visualization", "spatial data", "map definition".
Intent-scoped fabio skill for Fabric machine learning and data science: ML experiments (runs, metrics), ML models (registry, versions, endpoints, batch scoring), and anomaly detectors. Use to track experiments, register/version/serve models, score data, and configure anomaly detection. Triggers: "ml model", "ml experiment", "mlflow", "register model", "model version", "score model", "batch scoring", "model endpoint", "anomaly detection", "train model", "data science".
Intent-scoped fabio skill for Fabric database mirroring / real-time replication: mirrored databases, mirrored catalogs (Unity Catalog), mirrored Azure Databricks catalogs, mirrored warehouses, Snowflake databases, and Azure Databricks storage. Use to replicate external sources into OneLake Delta and query them with the SQL endpoint. Triggers: "mirror database", "mirroring", "replicate snowflake", "unity catalog mirror", "databricks catalog mirror", "real-time replication", "mirror status", "start mirroring".