扫描并评估 Power BI Gen1 数据流,生成迁移快照并执行升级为 Gen2.1 副本。
复制安装指令,让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "dataflows-save-as-authoring-cli" 技能: 1. 下载 https://raw.githubusercontent.com/microsoft/skills-for-fabric/main/skills/dataflows-save-as-authoring-cli/SKILL.md 2. 保存为 ~/.claude/skills/dataflows-save-as-authoring-cli/SKILL.md 3. 装好后重载技能,告诉我可以用了
请扫描指定 Power BI 工作区中的所有 Gen1 数据流,列出名称、所属工作区、所有者和可执行 save-as 的候选对象,并输出摘要表。
返回工作区内 Gen1 数据流清单,并标记适合继续做 save-as 评估的对象。
请对这个租户的 Gen1 数据流执行 save-as readiness assessment,检查七类风险信号,并生成 Save-As Readiness Snapshot,包含 markdown 报告和 JSON 结果。
输出每个数据流的就绪度结论、风险项明细,以及可用于审批或排期的快照报告。
请将目标 Gen1 数据流通过 SaveAsNativeArtifact API 创建为 Gen2.1 副本,随后检查数据完整性,并识别是否仍存在残留的 Gen1 引用。
返回升级执行结果、生成的新副本信息、验证结论,以及需要后续处理的残留依赖。
Update Check — ONCE PER SESSION (mandatory) The first time this skill is used in a session, run the check-updates skill before proceeding.
- GitHub Copilot CLI / VS Code: invoke the
check-updatesskill.- Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version.
- Skip if the check was already performed earlier in this session.
CRITICAL NOTES
- To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
- To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
A save-as companion for creating upgraded Gen2.1 copies from Power BI Gen1 dataflows using readiness assessment and guarded execution.
We currently cannot perform an in-place migration of your dataflow. We can use save-as to create an upgraded Gen2.1 copy while preserving the original Gen1 dataflow.
| Task | Reference | Notes |
|---|---|---|
| Finding Workspaces and Items in Fabric | COMMON-CLI.md § Finding Workspaces and Items | Mandatory — READ link first |
| Fabric Topology & Key Concepts | COMMON-CORE.md § Fabric Topology | |
| Environment URLs | COMMON-CORE.md § Environment URLs | |
| Authentication & Token Acquisition | COMMON-CORE.md § Authentication | Wrong audience = 401 |
| Core Control-Plane REST APIs | COMMON-CORE.md § Core REST APIs | Pagination, LRO polling, rate limits |
| Tool Selection Rationale | COMMON-CLI.md § Tool Selection | |
| Authentication Recipes | COMMON-CLI.md § Auth Recipes | az login flows and token acquisition |
Fabric Control-Plane API via az rest | COMMON-CLI.md § az rest | Always pass --resource |
| Gotchas & Troubleshooting (CLI) | COMMON-CLI.md § Gotchas | az rest audience, shell escaping |
| Quick Reference | COMMON-CLI.md § Quick Ref | Token audience / tool matrix |
| Dataflow Definition Structure | DATAFLOWS-AUTHORING-CORE.md § Definition | 3-part format for Gen2 CI/CD |
| Consumption Capability Matrix | DATAFLOWS-CONSUMPTION-CORE.md § Capabilities | Read-only discovery patterns |
| Upgrade CLI Quick Reference | upgrade-cli-quickref.md | All az rest one-liners for scanning & save-as |
| Risk Assessment Guide | risk-assessment-guide.md | Risk signal detection logic & API calls |
| Tool | Role | Install |
|---|---|---|
az CLI | Primary: Auth (az login), REST API calls (az rest) against both Fabric and Power BI APIs. | Pre-installed in most dev environments |
jq | Parse and filter JSON responses (dataflow lists, risk signal extraction). | Pre-installed or trivial |
base64 | Decode dataflow definitions for inspection. | Built into bash / [Convert]::ToBase64String() in PowerShell |
Agent check — verify before first operation:
az --version 2>/dev/null || echo "INSTALL: https://aka.ms/install-azure-cli" jq --version 2>/dev/null || echo "INSTALL: apt-get install jq OR brew install jq"
…
帮助将 Databricks 笔记本、作业与数据路径系统迁移到 Microsoft Fabric。
帮助你查询、解析并核查 Microsoft Fabric Eventstream 实时管道配置与状态。
用 PySpark 与 Livy 会话交互分析 Lakehouse 数据并完成高级处理
帮助用户对 Fabric Eventhouse 执行 KQL 查询、分析时序数据并查看表结构与摄取状态。
执行 DAX 查询并检查 Power BI 语义模型元数据,快速获取表、列、度量与关系信息。
帮助用户查询 Fabric Eventhouse 的 KQL 数据,并进行实时与时序分析监控。
扫描并评估 Power BI Gen1 数据流升级为 Gen2.1 的就绪度,并通过 CLI 执行保存副本迁移。
通过命令行编写与管理 Fabric Dataflows Gen2,并预览查询后触发刷新。
通过命令行创建、更新并刷新 Fabric Dataflows Gen2 及其连接与输出配置
通过命令行创作与管理 Fabric Dataflows Gen2,并预览查询和触发刷新。
通过只读命令行监控、解析并查询 Fabric Dataflows Gen2 数据流。
通过只读命令行监控、解析并查询 Fabric Dataflows Gen2 的定义与执行结果。