Use for diagnosing Fabric Spark performance through the monitoring REST APIs — listing Livy sessions (/workspaces/{ws}/spark/livySessions with queuedDuration/runningDuration, HC_ session naming), pulling the Spark History Server mirror (notebooks,…
Skills in this repository
wardawgmalvicious/agent-config - Page 2
SkillsMP has collected 56 skills from wardawgmalvicious/agent-config. Open a skill to review its source and details.
wardawgmalvicious/agent-configShowing 16 of 56 collected skills.
Use for PySpark / Spark in Microsoft Fabric notebooks. Covers the no-external-HTTP constraint (land data in Files/ first), abfss:// URI format for OneLake (GUIDs not names), `notebookutils.runtime.context` for identity lookups vs `spark.conf.*` for session…
Use for the Fabric Semantic Model Definition API — createItemWithDefinition / getDefinition / updateDefinition. Covers the two-audience rule (Fabric API for definitions, Power BI API for refresh/data sources/permissions), why updateDefinition MUST include ALL…
TMDL (Tabular Model Definition Language) authoring rules for Fabric and Power BI semantic models. Use when editing .tmdl files, adding measures or columns to a semantic model, defining relationships or calculation groups, working in a PBIP definition/ folder,…
Use for Microsoft Fabric Variable Library — config-as-code for parameterizing notebooks and pipelines per environment. Covers definition parts (variables.json, settings.json, valueSets/<name>.json — no `format` field, omit it), variable types (String,…
Use for scripting an open Power BI Desktop model via its localhost msmdsrv.exe Analysis Services proxy — TOM (Microsoft.AnalysisServices.Tabular) for metadata, ADOMD.NET (AdomdConnection) for DAX. Covers PowerShell setup with retail.amd64 AMO/TOM + ADOMD…
Use when working with PBIP (Power BI Project) folders — the text-based developer format that replaces binary .pbix. Covers folder layout (.SemanticModel/, .Report/, definition/, StaticResources/), entry-point files (.pbip, .pbir, .pbism, .platform), byPath vs…
Use when creating, editing, or wiring Power BI PBIR bookmarks in Report.Report/definition/bookmarks/ — bookmarks.json index and individual bookmark.json files. Covers bookmark structure (name hex ID matching items[], displayName, options, explorationState),…
Use when running the pbir CLI (install via uv tool install pbir-cli) to inspect or edit local Power BI PBIR reports. Covers path syntax (Report.Report/Page.Page/Visual.Visual with required type suffixes, glob patterns, property dot-notation), verb noun groups…
Use when adding conditional formatting to a Power BI visual — per-point bar/column colors, diverging gradients, line segment colors, marker transparency, data bars, conditional icons. Three approaches — measure-based (extension measure dataType Text returning…
Use when authoring filter bodies in a Power BI PBIR report at report.json, page.json, or visual.json filterConfig.filters. Covers scopes (Report, Page, Visual — visual filter is sibling of `visual` NOT nested), filter types (Categorical, Advanced, TopN,…
Use when authoring or editing page.json / pages.json inside a Power BI PBIR report's definition/pages/ folder. Covers top-level page properties (name hex GUID vs displayName, displayOption as STRING not integer, width/height, type Default vs Tooltip,…
Use when scaffolding or building a new Power BI report end-to-end from a published semantic model using the pbir CLI. Covers the 10-step workflow — KPI / filter / granularity requirements, model field discovery via pbir model, pbir new report scaffold,…
Use when authoring or editing a Power BI report theme JSON under Report.Report/StaticResources/SharedResources/BaseThemes/ or RegisteredResources/. Covers top-level theme properties (name, dataColors palette, semantic colors background/foreground/tableAccent,…
Use when editing visual.json inside a Power BI PBIR report's visuals/ folder. Covers top-level structure (name, position, visual vs visualGroup mutually exclusive, filterConfig sibling NOT child of visual, root-level isHidden for bookmark toggles), expression…
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…