maxanatsko

@maxanatsko source repo

12 skills
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1 week ago last updated

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MCP Engine Query · maxanatsko bundle
Use when writing or fixing DAX query text, choosing between run_query operations, validating results, testing RLS access for roles, or discovering schema before querying. For diagnosing why a query is slow, use mcp-engine-dax-performance; for wrong values, unexpected blanks, or inflated totals, use mcp-engine-dax-debugging; to persist logic as measures, use mcp-engine-semantic-authoring.

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MCP Engine Bootstrap · maxanatsko bundle
Use when starting a SemanticOps MCP session, connecting to a Power BI model, checking the current connection, applying saved preferences, composing bulk or write payloads, or recovering from empty results, stale metadata, or argument validation errors. For task work after the session is healthy, use the matching mcp-engine skill (query, schema-authoring, semantic-authoring, testing-changes, security-governance).

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MCP Engine Onboarding · maxanatsko bundle
Use when a user types onboarding, asks to set up SemanticOps MCP, wants help choosing Free vs Pro, or wants licensing, modes, masking, guardrails, preferences, model safety, tests, reporting, diagnostics, RLS testing, or Enterprise posture tailored to their workflow. For changing security, policy, or masking on an already-configured server, use mcp-engine-security-governance.

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MCP Engine Refactoring · maxanatsko bundle
Use when renaming, consolidating, restructuring, or batch-editing Power BI model objects that have downstream consumers — measure consolidation, table or column renames, splitting a flat table toward a star schema, moving repeated logic into calculation groups, or executing a model-quality remediation backlog. For a single-object edit with no consumers, use mcp-engine-schema-authoring or mcp-engine-semantic-authoring directly.

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MCP Engine AI Readiness · maxanatsko bundle
Use when preparing or assessing a Power BI semantic model for Copilot, Fabric data agents, or natural-language Q&A — clear business terminology, unambiguous metrics, usable date defaults, focused field exposure, descriptions, AI instructions, AI data schema recommendations, verified-answer candidates, or natural-language validation tests. For general modeling quality unrelated to AI consumption, use mcp-engine-model-quality.

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MCP Engine Dax Debugging · maxanatsko bundle
Use when a Power BI measure or query returns wrong values, unexpected blanks, inflated or duplicated totals, a total row that disagrees with its detail rows, a slicer that has no effect, or numbers that disagree with the source system. For slow-but-correct queries, use mcp-engine-dax-performance; for a whole-model assessment, use mcp-engine-model-quality.

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MCP Engine Model Quality · maxanatsko bundle
Use when the user asks for a model audit, model quality review, scorecard, bad-practices or best-practices assessment, or a review of star-schema fit, relationships, DAX maintainability, VertiPaq/storage risk, metadata hygiene, governance signals, or validation gaps in a Power BI semantic model. For diagnosing one slow query, use mcp-engine-dax-performance; for Copilot or natural-language readiness, use mcp-engine-ai-readiness; to execute the remediation backlog, use mcp-engine-refactoring.

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MCP Engine Dax Performance · maxanatsko bundle
Use when a DAX query, measure, or visual is slow, when interpreting analyze timings, Storage Engine / Formula Engine splits, or query plans, when VertiPaq storage size or cardinality drives cost, or when the user wants a tuning pass or before/after benchmark. For wrong values, use mcp-engine-dax-debugging; for writing new queries, use mcp-engine-query; for a whole-model assessment, use mcp-engine-model-quality.

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MCP Engine Testing Changes · maxanatsko bundle
Use when creating or running model tests, applying test packs, capturing baselines or snapshots, exporting test results, checking dependency impact before a refactor, or using checkpoints, changesets, undo, redo, and rollback. For assessing overall model quality, use mcp-engine-model-quality; for authoring the changes themselves, use mcp-engine-schema-authoring or mcp-engine-semantic-authoring; for orchestrating a full multi-object refactor around these safety tools, use mcp-engine-refactoring.

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MCP Engine Schema Authoring · maxanatsko bundle
Use when creating, updating, renaming, or deleting tables, columns, calculated columns, relationships, hierarchies, calendars, or partitions, or changing refresh strategy and incremental refresh policy. For measures, calculation groups, or named expressions, use mcp-engine-semantic-authoring; for RLS roles or perspectives, use mcp-engine-security-governance; for multi-object refactors or renames with downstream consumers, use mcp-engine-refactoring.

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MCP Engine Semantic Authoring · maxanatsko bundle
Use when creating or updating measures, KPIs, calculation groups, DAX UDFs, named expressions, Power Query parameters, or model properties, when deciding between a measure and a calculated column, or when cleaning up naming, display folders, and semantic style. For one-off DAX queries, use mcp-engine-query; for physical tables, columns, and relationships, use mcp-engine-schema-authoring; for consolidating or renaming measures with downstream consumers, use mcp-engine-refactoring.

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MCP Engine Security Governance · maxanatsko bundle
Use when creating or changing RLS roles, role filters, OLS permissions, perspectives, allow/deny/confirm policy rules, PII or numeric masking, or audit logging and evidence export, and when deciding whether a request needs security enforcement or only curation. For first-time guided setup of policies, masking, and guardrails, use mcp-engine-onboarding.

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12 published skills