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Agent Skill · 研究检索

generate-canvas-app(生成画布应用程序)

generate-canvas-app 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

generate-canvas-app 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 50,332。

总安装 618周安装 25GitHub Stars 228下载 194核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:generate-canvas-app(生成画布应用程序)
来源仓库:https://github.com/microsoft/power-platform-skills
仓库路径:skills/generate-canvas-app
安装命令:
npx skills add https://github.com/microsoft/power-platform-skills --skill generate-canvas-app
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 generate-canvas-app

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持画布应用程序生成场景。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需确认权限和维护状态。使用前应检查是否会触发联网、命令执行或文件读写操作。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/generate-canvas-app

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/microsoft/power-platform-skills --skill genera…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

generate-canvas-app 怎么安装?

在终端执行 npx skills add https://github.com/microsoft/power-platform-skills --skill generate-canvas-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

generate-canvas-app 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

generate-canvas-app 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

generate-canvas-app 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

generate-canvas-app 用的人多吗?

公开数据是累计安装 618 次,近一周安装 25 次,下载 194 次,GitHub 228 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

generate-canvas-app 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
generate-canvas-app

生成画布应用程序 · 本页

618228只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Generate a Canvas App

Generate a complete Power Apps canvas app for the following requirements:

$ARGUMENTS

Overview

This skill orchestrates two specialist agents:

  1. canvas-app-planner — discovers available controls and data sources, designs the app, presents a screen plan for your approval, then writes a shared plan document
  2. canvas-screen-builder — writes exactly one screen's YAML; multiple builders run in parallel after the plan is approved

You (the skill) coordinate the agents and own the compilation + error-fixing loop after all screens are written.


Phase 0 — Create App Folder

Before planning, derive a short folder name from the user's requirements:

  1. Extract the app name or a 2–4 word summary from $ARGUMENTS
  2. Convert to kebab-case (e.g., "Expense Tracker" → expense-tracker, "my travel planner" → my-travel-planner)
  3. Create the folder using Bash: mkdir -p <folder-name>
  4. Resolve its absolute path — this is the working directory for all subsequent phases

Pass this absolute path as the working directory in every agent prompt below.


Phase 1 — Gather Preferences (Wizard)

Before invoking the planner, use AskUserQuestion to collect design preferences that cannot be reliably inferred from $ARGUMENTS. Parse $ARGUMENTS first to determine which questions to skip — but a short request like "visitor check-in app" or "expense tracker" leaves most preferences unspecified and you MUST ask.

Call AskUserQuestion with the applicable questions from the table below (include only the ones that need answers):

QuestionHeaderWhen to AskOptions
Who will primarily use this app, and on what device?Target Users & DeviceOnly if not clear from $ARGUMENTS*(3–4 dynamically inferred options that combine the user role with their likely device, e.g., for "visitor check-in": Front desk staff on desktop/tablet, Security team on tablet, Self-service kiosk on tablet, Visitors on their phone)*
Do you have a screenshot or mockup for reference? (paste an image or provide a file path)ReferenceOnly if user has NOT already attached/pasted an image with their requestYes I'll share one now, No just pick a direction for me
What aesthetic direction?AestheticOnly if not clear from $ARGUMENTS (skip if user already described a visual direction like "dark themed", "minimal", "corporate style", or provided a reference image)Clean & Professional (Recommended), Bold & High-Contrast, Soft & Approachable, Dense & Utilitarian
Which features do you need? (multi-select)FeaturesOnly if $ARGUMENTS is vague on features*(3–4 dynamically inferred options based on app purpose + target users)*

Rules:

  1. If the user provides a screenshot (either attached with their original request or via the wizard), examine it to extract structural cues (layout, navigation pattern) and visual cues (color palette, density, typography). Use these to inform the aesthetic direction — do not ask the aesthetic question separately.
  2. If all questions are already answered by $ARGUMENTS and any attached images, skip the wizard entirely and proceed directly to Phase 2.
  3. Ask all applicable questions in a single AskUserQuestion call — do not ask them one at a time.
  4. Store all answers for use in the planner prompt below.

Target users & device influence design decisions:

  • Desktop users → data-dense layouts, tables, keyboard-friendly, multi-column. ManualLayout acceptable for pixel-perfect dashboards.
  • Tablet users → touch-friendly targets, medium density, AutoLayout (responsive) so the app adapts to landscape/portrait.
  • Phone users → large touch targets, single-column, simplified navigation, AutoLayout (responsive), minimal typing.
  • Multi-device / unknown → AutoLayout (responsive) required.

Phase 2 — Plan

Invoke the canvas-app-planner agent using the Task tool.

Pass a prompt that includes:

  • The user's requirements: $ARGUMENTS
  • The wizard answers collected in Phase 1 (target users & device, aesthetic direction, features, and any screenshot observations)
  • The working directory (the absolute path resolved in Phase 0)
  • The plugin root path: ${CLAUDE_PLUGIN_ROOT}

Example prompt:

You are the canvas-app-planner agent. Plan a Canvas App for the following requirements: [paste $ARGUMENTS here] User preferences (from wizard): - Target users & device: [answer or "not specified" — e.g., "Front desk staff on desktop/tablet"] - Aesthetic direction: [answer or "not specified"] - Features: [answer or "not specified"] - Reference image: [observations from screenshot, or "none provided"] Working directory: [absolute path from Phase 0] Plugin root: ${CLAUDE_PLUGIN_ROOT} Follow the instructions in your agent file. Write canvas-app-plan.md and App.pa.yaml to the working directory. Return the screen list and plan document path when complete.

Wait for the planner to finish. The planner will present the screen plan to the user via plan mode and wait for approval before returning. Do not proceed to Phase 3 until the planner task completes successfully.


Phase 3 — Build

After the planner completes, read canvas-app-plan.md from the working directory.

Extract the screen list from the ## Screens table — collect each screen name and its target file name.

Invoke one canvas-screen-builder agent per screen. Fire all invocations in a single message (parallel execution) — do not wait for one screen to finish before starting the next.

For each screen, pass a prompt that includes:

  • Screen name (e.g., "Home")
  • Target file name (e.g., "Home.pa.yaml")
  • Absolute path to canvas-app-plan.md
  • Working directory

Example prompt per screen:

You are the canvas-screen-builder agent. Implement the [Screen Name] screen. - Target file: [ScreenName].pa.yaml - Plan document: [absolute path to canvas-app-plan.md] - Working directory: [absolute path from Phase 0] Follow the instructions in your agent file. Write [ScreenName].pa.yaml and return your result when done. Do not call compile_canvas — validation is handled by the skill.

Wait for all screen-builder tasks to complete before proceeding.


Phase 4 — Validate and Fix

After all screen-builders have finished writing their files, call compile_canvas on the working directory.

On success: Proceed to Phase 5.

On failure: Read every error in the output. Errors will reference specific files and line numbers. For each error:

  1. Read the referenced .pa.yaml file
  2. Fix the error using Edit
  3. After fixing all errors from this pass, call compile_canvas again

Repeat until compile_canvas reports no errors. Do not give up after a single fix attempt — iterate until the entire directory compiles clean.

Track how many compile_canvas passes were needed.


Phase 5 — Summary

Delete canvas-app-plan.md from the working directory using Bash: rm <working-directory>/canvas-app-plan.md

Present a final summary:

App generation complete. | Screen | File | Status | | --- | --- | --- | | [Screen Name] | [filename].pa.yaml | Written | Compiled clean after [N] pass(es). | Screens: [N] | Data: [source or collections]

If any errors remain after exhausting fixes, report them explicitly so the user knows what needs manual attention.

平台分布

Codex

36.06%
按下载量换算70

Claude

31.68%
按下载量换算61

Cursor

18.99%
按下载量换算37

Gemini CLI

9.16%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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