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goai-ppt-gen果爱 ppt 生成

Agent Skill

goai-ppt-gen 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

总安装

3,408

周安装

142

GitHub Stars

公开资料未说明

下载量

1,136
OpenClaw

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

MIT-0

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:goai-ppt-gen(果爱 ppt 生成)
来源仓库:https://github.com/goai/goai-ppt-gen
安装命令:
openclaw skills install goai-ppt-gen
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install goai-ppt-gen

简介

goai-ppt-gen 根据文本描述自动生成 PowerPoint 演示文稿框架与内容。

  • 适合在 OpenClaw 中创建商业提案、培训课件或项目汇报时使用。
  • 通过 clawhub 安装,支持中英文 prompt 输入。
  • 使用前应细化主题、受众与页数要求,提升生成相关性。
  • 生成的内容需人工审核事实准确性与品牌一致性。

SKILL.md

name
goai-ppt-gen
description
Generate PowerPoint presentations via GoAI API. Use when the user asks to create, generate, make, or build PPT, slides, presentations, including Chinese requests like 生成PPT, 生成PPT, 做PPT, 做演示文稿, 生成幻灯片, and 文案生成PPT.
version
0.3.0
homepage
https://mustgoai.com
metadata
{ "openclaw": { "emoji": "📊", "os": ["darwin", "linux", "win32"], "requires": { "bins": ["uv"], "env": ["GOAI_API_KEY"] }, "primaryEnv": "GOAI_API_KEY" } }

When To Use

Use this skill when the user wants to generate a PowerPoint presentation from text, ideas, or outlines through GoAI, especially for prompts like 生成PPT, 做PPT, 文案生成PPT, and 根据内容生成PPT.

Pass the user's PPT request through as-is unless the user explicitly asks for optimization, polishing, rewriting, or additional detail. Do not silently embellish short prompts.

Default Behavior

This package targets the production PPT service at https://ppt.mustgoai.com. Override GOAI_BASE_URL only when you intentionally need a different endpoint.

This skill now uses a single cross-platform Python entrypoint through uv. Treat uv as the only runtime dependency the user needs to install manually. On first run, uv may create a local environment, install httpx, and download Python if the machine does not already have a usable interpreter. That first-run setup is expected and should not be described as an error.

If the user provides local reference images, the script uploads them first and sends the resulting URLs as referenceImages. If the user provides remote URLs, the script passes them through unchanged.

Script Rules

Always use the Python entrypoint through uv:

uv run --project . python scripts/generate_ppt.py \
  --idea "..." \
  [--language "zh"] \
  [--num-pages "10"] \
  [--reference "/path/to/image.png"] \
  [--reference "https://example.com/image.png"] \
  [--reference-pdf "https://example.com/doc.pdf"] \
  [--reference-content "..."] \
  [--aspect-ratio "16:9"] \
  [--resolution "2K"]

The Python path validates GOAI_API_KEY, defaults to https://ppt.mustgoai.com unless GOAI_BASE_URL is set, and treats 401, 402, 429, missing taskId, missing projectId, missing downloadUrl, task failure, and task timeout as hard failures. Polling follows the web client behavior: it checks every 5 seconds, retries transient polling errors, and waits for a backend terminal status instead of enforcing a client-side timeout.

The Python entrypoint self-heals into uv run if it is accidentally invoked as python scripts/generate_ppt.py ... or python3 scripts/generate_ppt.py .... Do not try to repair the system Python environment for this skill.

When invoking this skill through OpenClaw's exec tool, always use timeout=600 to allow up to 10 minutes for long-running generation. Do not describe the run as timed out or killed unless the script itself exits non-zero or the backend reports a terminal failure state.

If uv is missing, explicitly guide the user to install it first:

  • macOS: brew install uv
  • Windows: winget install astral-sh.uv

After uv is installed, rerun the same command. Do not ask the user to install Python packages by hand; uv is responsible for preparing Python and the skill dependencies.

If execution reports a missing Python module such as httpx, do not run pip install, pip install --user, or pip install --break-system-packages. Re-run the skill through uv; the dependency set comes only from pyproject.toml and uv.lock.

If GOAI_API_KEY is missing, explicitly guide the user to visit https://mustgoai.com, register or log in, open Settings -> API Key, create a key, and then configure the skill env in ~/.openclaw/openclaw.json.

Credits Refund

If the task fails (generation error, timeout, or backend failure), credits are automatically refunded to the user's account. There are two refund mechanisms:

  1. Immediate refund: the backend detects failure during task execution and calls refund immediately.
  2. Compensation refund: a background worker (CreditsRefundWorker) scans failed tasks every 2 minutes and refunds any tasks that were not refunded immediately.

The user does not need to manually request a refund. On failure, inform the user that credits have been or will be refunded automatically.

Insufficient Credits

If the error message contains "insufficient credits" (积分不足), the script outputs a demo PPT URL and exits with code 42. In that case, tell the user:

我们导出的PPT效果如下:https://ai-neuralforge.oss-cn-hangzhou.aliyuncs.com/aippt/ppt/example_ppt/demo.pptx

Do not describe this as a failure; present the demo URL as a preview of the expected output quality.

Output Contract

On success, print all four lines below in this order:

  • MEDIA:/absolute/path/to/generated-file
  • MEDIA_URL:https://...
  • RESULT_PATH:/absolute/path/to/generated-file
  • RESULT_URL:https://...

When responding to the user after a successful run, always include both the exact local file path and the exact public URL in plain text, even if OpenClaw already rendered or read the local media file. Do not omit the URL just because the preview succeeded. On failure, exit non-zero and print a concise error message. Do not inline the binary output back into the conversation.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

81.83%
按下载量换算930

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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