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Coordinates Microsoft Fabric MCP access, agents, skills, and curated marketplace plugins for a Fabric-heavy project. Use when setting up or auditing Fabric profiles, notebook-generation plugins, semantic-model review, or Fabric data-security checks.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
统一错误处理系统。在添加 API 端点、修改错误处理、添加前端 API 调用、编写错误相关测试时使用。
Greeting-triggered self-check — recognise greetings, check Edition version against the upstream tag, scan AI-Memory announcements, and report inside the greeting reply
LLM Agent 多语言注入规范。在修改 Agent 提示词、添加新的 Agent 端点、处理用户可见的后端消息（message_code）时使用。
Coordinates generic project Agency CLI, MCP authorization, M365 consent boundaries, Azure tooling, and Microsoft internal plugin adoption. Use when setting up or auditing Agency profiles, MCP servers, WorkIQ/M365 access, or curated plugins for a project.
Guides on-need adoption of an Agency MCP or Microsoft Foundry capability from the starter's capability catalog. Use when a project asks 'can we use X', 'should we adopt X', or needs to pull a specific tool/profile/Foundry capability without loading the whole surface.
Coordinates on-need adoption of Microsoft Foundry capabilities (IQ family, Toolboxes, Tool Search, Routines, autopilot agents, Agent Optimizer, Memory, Claude, SDKs) for a project building on Foundry Agent Service. Use when evaluating or adopting a Foundry hosted-agent capability.
| name | project-fabric-operations |
| description | Coordinates Microsoft Fabric MCP access, agents, skills, and curated marketplace plugins for a Fabric-heavy project. Use when setting up or auditing Fabric profiles, notebook-generation plugins, semantic-model review, or Fabric data-security checks. |
| lastReviewed | "2026-07-03T00:00:00.000Z" |
Use this skill when a project depends on Microsoft Fabric: Lakehouse/Warehouse data engineering, Spark notebooks, Power BI semantic models and reports, or Fabric-native data quality/security work.
This is a template curated from the public
microsoft/skills-for-fabric
repo and the curated marketplace.
Confirmed 2026-07-03: project-fabric-review was exercised live against a real
Fabric workspace. semantic-model-disambiguation's bundled powerbi-modeling-mcp
connected successfully and returned table/relationship/measure counts for both
semantic models in the workspace, read-only. tompo-fabriclineage's skill
loaded but its lineage tools did not appear in the session (confirms it needs
the separate manual tompo-mcp setup noted below). project-fabric,
project-fabric-notebooks, and project-fabric-security are still unverified
— update this note once each is actually exercised.
| Request | Default route |
|---|---|
| General Fabric admin/app-dev/data-engineering/migration orchestration | project-fabric (skills-for-fabric: FabricAdmin, FabricAppDev, FabricDataEngineer, FabricMigrationEngineer, FabricIQ agents) |
| Generate a Data Quality PySpark notebook (Fabric/Databricks/Synapse/local Spark) | project-fabric-notebooks (dq-coworker) |
| Generate a data-enrichment notebook from a Fabric Lakehouse or CSV source | project-fabric-notebooks (raw-2-enrich) |
| Power BI/Fabric lineage or impact analysis ("what breaks if I rename X") | project-fabric-review (tompo-fabriclineage) — read-only |
| Semantic model column-ambiguity review and fix | project-fabric-review (semantic-model-disambiguation) — write-capable, review before applying |
| Fabric Data Agent (FDA) configuration generation | project-fabric-review (semantic-model-fda-creator) — generates instructions/config artifacts, not a full auto-deploy |
| PII/PHI detection and de-identification in source data | project-fabric-security (MaskIQ) |
Bundling every Fabric plugin into a single profile would repeat the exact mistake this starter's own narrow-profile principle exists to prevent (see agency-mcp-capabilities.md's Governing Principle) — more MCP servers loaded per session than the task needs. Splitting by job (general work, notebook generation, review, security) keeps each session narrow.
project-fabric-review: semantic-model-disambiguation bundles
@microsoft/powerbi-modeling-mcp (npx-launched) — confirmed working.
Connect using the workspace's display name, not its GUID/URL ID
(ConnectFabric with WorkspaceName/SemanticModelName, or Connect with
an XMLA connection string like
Data Source=powerbi://api.fabric.microsoft.com/v1.0/myorg/<WorkspaceName>).
Connecting with the GUID from a msit.powerbi.com/groups/<guid> URL fails
with "workspace not found" every time — get the display name from the
Power BI portal first. semantic-model-fda-creator applies changes "via
MCP" without its own .mcp.json — likely expects the same
powerbi-modeling-mcp (unverified). tompo-fabriclineage does not wire
through agency.toml at all — it requires a separately installed
tompo-mcp pip package plus a manual mcp.json entry and az login, per
its own skill prerequisites. Confirmed: its skill loads but its lineage
tools do not appear in a project-fabric-review session without that
separate setup.project-fabric / project-fabric-notebooks: skills-for-fabric bundles
the FabricIQ MCP (https://api.fabric.microsoft.com/v1/mcp/fabricaihub/integrations/m365) —
unverified. dq-coworker and raw-2-enrich do not appear to bundle their
own MCP — they generate code/notebooks and likely lean on skills-for-fabric
for live workspace access when needed — unverified.project-fabric-security: MaskIQ works directly on local files (CSV) —
no MCP required.tompo-fabriclineage is explicitly read-only by design (metadata only,
never modifies models/reports/sensitivity labels). Treat that as the
default assumption for lineage/impact-analysis work.semantic-model-disambiguation applies fixes to the live semantic
model. Review every proposed fix before it is applied.pr-impact-advisory). Run the
plugin adoption checklist
before relying on any of them for real work.agency copilot --profile-only <profile> so a Fabric session does
not also load unrelated M365/ADO/Service360 MCPs.Revisit once this template is actually activated in a real Fabric project. Revise the MCP wiring notes above with confirmed behavior, and delete this caveat once verified.