Power BI AI 技能和 Power BI 代理,适用于 Claude Code 和 GitHub Copilot:这是一个包含语义模型、DAX、TMDL、报表和 AI 仪表盘的 Power BI 技能、子代理和钩子插件市场。包含 Microsoft Fabric 技能和 Fabric 代理。每周更新。

semantic-model 开源项目推荐(145 个)
semantic-model 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 145 个仓库Generate comprehensive documentation from Power BI PBIP/TMDL semantic models — instantly, in your browser
Calendar (dates), Periods and Time table for Power BI and Fabric
Trace DAX measure lineage from visuals to source columns in Power BI PBIP projects — instantly, in your browser
Open-source Power BI MCP to build, audit and repair Desktop models and PBIP reports with DAX, TOM, TMDL and PBIR.
Comprehensive Power BI optimization skill for GitHub Copilot - DAX, model design, report performance, Power Query, and RLS
Cursor for Data — a local-first AI workspace that understands your datasets: discovers relationships, builds semantic models, and answers questions with DuckDB. CLI + browser app.
Semantic-layer transpiler: one neutral IR, many dialects (dbt, Snowflake Cortex, semantic views, supersimple, nao). Written in Go.
Crafty’s Fabric Skills are open-source Fabric and Power BI skills by Data Crafters, helping the community accelerate time to value in the age of AI. Built from our hands-on expertise in Microsoft Fabric, Power BI, planning, and AI, these practical resources are designed to simplify complex data challenges and turn insights into action.
AI-powered Power BI External Tool that provides an intelligent chat interface for analyzing semantic models. Connect to Power BI Desktop via XMLA, view metadata and sample data, execute DAX queries, and get AI-powered insights about your data model.
BPA scanning for Fabric semantic models without Premium capacity or XMLA endpoints. Vibe-coded with Claude Code.
Interactive viewer for Power BI semantic models (TMDL): table canvas, relationship matrix, measure dependency flow. Installable web app + VS Code extension.
AI context engine for Power BI models — turns .pbit/.pbip (TMDL) into indexed, queryable context for LLM agents (MCP server, CLI, docs). Zero dependencies.
AI Native Data Agent
Toolkit to make Power BI semantic models and Fabric Data Agents AI/Copilot-ready: semantic model AI-readiness analyzers, a Data Agent config validator, a natural-language remediation agent, a Copilot diagnostics troubleshooter, and lakehouse data-source readiness checks.
Using Microsoft's Power BI Modeling MCP Server with Copilot Cloud Agents
Enterprise-grade schema drift detection for Microsoft Fabric with automated change detection, impact analysis, schema history, and DevOps integration.
Practical Microsoft learning blueprints for Fabric, Power BI, Azure Data, AI, governance, CI/CD, and real-world analytics engineering projects.
Find the lineage, understand the model, document both. Trace every Power BI column back to its physical source, read a model you did not build, and generate documentation that cannot go stale — or hand it over as one self-contained HTML file.
Tabela calendário para lakehouse Fabric a partir do notebook spark
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/semantic-model。
- 该话题在 GitHub 上共有 145 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1500 Star,覆盖 8 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。