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add-dataverse添加数据宇宙

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

760

周安装

32

GitHub Stars

228

下载量

266
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:add-dataverse(添加数据宇宙)
来源仓库:https://github.com/microsoft/power-platform-skills
仓库路径:skills/add-dataverse
安装命令:
npx skills add https://github.com/microsoft/power-platform-skills --skill add-dataverse
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/microsoft/power-platform-skills --skill add-dataverse

简介

用于连接和管理 Dataverse 数据源,支持现有表查询与新表创建。

  • 适合在 Power Platform 应用中集成结构化数据,如账户、联系人等实体。
  • 通过 API 认证、表结构规划和数据导入流程实现数据接入。
  • 需提前配置环境 ID 和连接器,确保权限与数据架构一致。
  • 安装方式:GitHub,命令:npx skills add https://github.com/microsoft/power-platform-skills --skill add-dataverse

SKILL.md

📋 Shared Instructions: shared-instructions.md - Cross-cutting concerns.

References:

Add Dataverse

Two paths: existing tables (skip to Step 5) or new tables (full workflow).

Workflow

  1. Plan → 2. Setup API Auth → 3. Review Existing Tables → 4. Create Tables → 5. Add Data Source → 6. Review Generated Files → 7. Build

Step 1: Plan

Check memory bank for project context. Ask the user:

  1. Which Dataverse table(s) do they need? (e.g., account, contact, cr123_customentity)
  2. Do the tables already exist in their environment, or do they need to create new ones?

If tables already exist: Skip to Step 5.

If creating new tables:

  • Ask about the data they need and design an appropriate schema
  • Use standard Dataverse tables when appropriate (contact for people, account for organizations)
  • Build a dependency graph -- see data-architecture-reference.md for tier classification
  • Enter plan mode with EnterPlanMode, present ER model with tables, columns, relationships, and creation order
  • Get approval with ExitPlanMode

Step 2: Setup API Auth (if creating tables)

See api-authentication-reference.md for full details.

az account show   # Verify Azure CLI logged in

# Find your Dataverse environment URL:
# In make.powerapps.com → Settings → Developer resources → Web API endpoint
# It looks like: https://<org-name>.crm.dynamics.com/api/data/v9.2/
# Use the base URL: https://<org-name>.crm.dynamics.com

$api = Initialize-DataverseApi -EnvironmentUrl "https://<org>.crm.dynamics.com"
$headers = $api.Headers
$baseUrl = $api.BaseUrl
$publisherPrefix = $api.PublisherPrefix

Requires System Administrator or System Customizer security role.

Step 3: Review Existing Tables (if creating tables)

Always query existing tables first before creating:

$existingTables = Invoke-RestMethod -Uri "$baseUrl/EntityDefinitions?`$filter=IsCustomEntity eq true&`$select=SchemaName,LogicalName,DisplayName" -Headers $headers

See table-management-reference.md for Find-SimilarTables, Compare-TableSchemas, and Build-TableNameMapping functions.

Present findings to user with AskUserQuestion:

  • Tables that can be reused (already exist with matching columns)
  • Tables that need extension (exist but missing columns)
  • Tables that must be created (no match found)

Step 4: Create Tables (if creating tables)

Get explicit confirmation before creating. Create in dependency order:

  • Tier 0: Reference tables (no dependencies)
  • Tier 1: Primary entities (reference Tier 0)
  • Tier 2: Dependent tables (reference Tier 1)

Use safe functions from table-management-reference.md:

Step 5: Add Data Source

For each table:

npx power-apps add-data-source -a dataverse -t <table-logical-name>

Can add multiple tables by running the command for each one.

Step 6: Review Generated Files

The command generates:

  • src/generated/models/{Table}Model.ts -- TypeScript interfaces, plus {Table}FileColumnName, {Table}ImageColumnName, {Table}UploadColumnName union types if the table has file/image columns
  • src/generated/services/{Table}Service.ts -- CRUD methods (create, get, getAll, update, delete) plus upload, downloadFile, downloadImage, deleteFileOrImage if file/image columns exist

Show the user a usage example:

import { AccountsService } from "../generated/services/AccountsService";

const result = await AccountsService.getAll({
  select: ["name", "accountnumber"],
  filter: "statecode eq 0",
  orderBy: ["name asc"],
  top: 50
});
const accounts = result.data || [];

Key rules:

  • Use generated services (e.g., AccountsService.getAll()), not fetch/axios
  • Check result.data for actual data
  • Don't edit generated files unless needed
  • Read dataverse-reference.md before writing any Dataverse code -- picklist fields, virtual fields, lookups, and file/image columns all have critical gotchas

Step 7: Build

npm run build

Fix TypeScript errors before proceeding. Do NOT deploy yet.

Update Memory Bank

Record which tables were added (or created), generated files, and any schema notes.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.3%
按下载量换算97

Claude

26.35%
按下载量换算70

Cursor

18.5%
按下载量换算49

Gemini CLI

9.49%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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