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/mcp-engine-schema-authoring

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

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mcp-engine-public
25612 skills
Install
$ npx -y skills add maxanatsko/mcp-engine-public --skill mcp-engine-schema-authoring --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/mcp-engine-schema-authoring

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

mcp-engine-schema-authoring.SKILL.md
name: mcp-engine-schema-authoring
description: 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.

PBI Schema Authoring

Physical model structure work through `manage_schema`. Keep edits explicit, ordered, and dependency-aware.

Safe edit order

1. Inspect current state: `list_model` `{ "operation": "list", "spec": { "type": "tables" } }`, then repeat for `columns` and `relationships` (`spec.type` takes exactly one value per call). 2. Before renaming or deleting, check consumers: `manage_dependencies` `{ "operation": "used_by", "spec": { "target": { "type": "column", "table": "<table>", "name": "<column>" } } }` (`spec.target` is required on every call, with the object's singular type); `{ "operation": "summary", "spec": { "target": ... } }` to gauge impact breadth. 3. For multi-object or risky edits, pin a rollback point first: `manage_model_changes` `{ "operation": "pin_checkpoint", "name": "before-<edit>" }` (`name` is required), and prefer `dry_run: true` on the write. 4. Apply the `manage_schema` operation (`create_table`, `update_column_properties`, `create_calc_column`, `create_relationship`, `create_hierarchy`, `create_partition`, `refresh_partition`, …) with per-item identifiers inside each bulk item. 5. Validate after the edit: a scoped `run_query` `{ "operation": "execute", "query": "<validation query>" }` that exercises the changed relationship, column, or partition.

Branch by task

  • Tables, columns, calculated columns, visibility, formatting, date-table marking: [column-and-table-authoring-guide](references/column-and-table-authoring-guide.md).
  • Relationships — re-check filter direction, inactive relationships, and ambiguity before applying: [relationships-guide](references/relationships-guide.md).
  • Hierarchies: [hierarchies-guide](references/hierarchies-guide.md). Calendars and date tables: [calendar-guide](references/calendar-guide.md).
  • Partitions and refresh scope: [partitions-refresh-guide](references/partitions-refresh-guide.md). Incremental policy design: [incremental-refresh-policy-guide](references/incremental-refresh-policy-guide.md).

Guardrails

  • Confirm destructive changes and refresh-impacting edits with the user before execution.
  • Keep schema changes separate from semantic rewrites unless the task explicitly spans both.

Report results

After schema work, report:

1. Each operation applied, with table and target names. 2. Whether `dry_run` or `transaction` was used and the outcome. 3. Dependency-check results for renamed or deleted objects. 4. The validation query run and its result. 5. The checkpoint or transaction available for rollback.

Read more
Ships withmcp-engine-public

The SemanticOps MCP (formerly MCP Engine) is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, modify your semantic model, and perform advanced analytics - all through natural conversation.

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