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ai-news-posterAI 新闻海报

Agent Skill

ai-news-poster 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

11,054

周安装

470

GitHub Stars

公开资料未说明

下载量

3,873
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:ai-news-poster(AI 新闻海报)
来源仓库:https://github.com/caoyacheng/ai-news-poster
安装命令:
openclaw skills install ai-news-poster
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 ai-news-poster

简介

自动生成每日AI新闻海报,适配社交平台传播需求。

  • 适合内容运营或媒体工作者快速制作图文摘要。ai-news-poster 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 基于固定模板生成PNG/JPG格式图片,支持微信、微博等平台分享。
  • 当用户请求为“当今的人工智能等”创建图像摘要时自动触发。
  • 安装前建议确认权限范围和维护状态,避免触发联网或文件读写。

SKILL.md

name
ai-news-poster
description
Generate fixed-template daily AI news posters from five news items. Use when the user asks to create a poster, social card, or image summary for "today's AI news", "5 AI news", "AI headlines", "每日AI资讯", or "AI新闻海报", including Chinese or bilingual output.

AI News Poster

Create one fixed-style poster from exactly 5 AI news items.

When to use this skill

Use this skill when the user wants:

  • A daily AI news poster
  • A fixed template visual for 5 AI headlines
  • A Chinese or bilingual social poster summarizing AI updates

If the user asks for a long-form report, article, PPT, or spreadsheet, do not use this skill.

Input contract

Before generating the poster, normalize input into this structure:

{
  "date": "YYYY-MM-DD",
  "title": "今日AI资讯速览",
  "news": [
    {"headline": "新闻1标题", "summary": "一句话摘要(18-32字)", "source": "来源", "tag": "模型/产品/融资/政策/研究"},
    {"headline": "新闻2标题", "summary": "一句话摘要(18-32字)", "source": "来源", "tag": "模型/产品/融资/政策/研究"},
    {"headline": "新闻3标题", "summary": "一句话摘要(18-32字)", "source": "来源", "tag": "模型/产品/融资/政策/研究"},
    {"headline": "新闻4标题", "summary": "一句话摘要(18-32字)", "source": "来源", "tag": "模型/产品/融资/政策/研究"},
    {"headline": "新闻5标题", "summary": "一句话摘要(18-32字)", "source": "来源", "tag": "模型/产品/融资/政策/研究"}
  ],
  "footer": "数据来源: 公开新闻整理",
  "brand": "你的品牌名"
}

Rules:

  • Always use exactly 5 news items.
  • If more than 5 are provided, keep the most important 5 and explain filtering in one sentence.
  • If fewer than 5 are provided, ask for missing items.
  • Remove hype and keep each summary factual.

Fixed poster template (must follow)

Canvas

  • Size: 1080 x 1350 (4:5)
  • Background: deep navy gradient (#0B1020 to #121A33)
  • Safe margin: 64px on all sides

Typography

  • Main title: 72px bold, white
  • Date subtitle: 32px medium, #A9B4D0
  • News headline: 38px semibold, white
  • News summary: 28px regular, #D6DEFF
  • Meta line (tag + source): 24px medium, #8FA2D8
  • Footer: 22px regular, #93A0C3

Layout

  1. Top block:

- Main title (今日AI资讯速览) - Date line (YYYY-MM-DD)

  1. Body block:

- 5 cards in a single vertical column, evenly spaced - Each card includes: - Index badge (01 to 05) - Headline (single line preferred, max 24 Chinese chars) - Summary (1 line, max 32 Chinese chars) - Meta line: #tag | source

  1. Bottom block:

- Left: footer text - Right: brand mark text

Visual style

  • Card background: translucent white 8%-10%
  • Card border: 1px #2B3C73
  • Corner radius: 18px
  • Use one accent color for badges: #6AA8FF
  • Keep high contrast; avoid decorative clutter

Generation workflow

  1. Validate and normalize 5 news items.
  2. Rewrite each summary to one concise sentence (18-32 Chinese chars).
  3. Build poster JSON following the input contract.
  4. Generate one final poster image using:

- python scripts/render.py <input.json> <output.png>

  1. If needed, install dependency once:

- python -m pip install pillow

  1. Self-check before final output:

- Exactly 5 items - No overflow/cropping - Typography hierarchy is clear - Source shown for all items

Utility scripts

  • Renderer: scripts/render.py
  • Sample input: examples/input.sample.json

Quick start:

  • python scripts/render.py examples/input.sample.json output/today-ai-news.png

Manual copy flow (fallback when script is unavailable):

  • Build poster copy using the exact order:

- Title -> Date -> News01..News05 -> Footer -> Brand

  • Render one final poster image in 1080x1350.

Poster text template

Use this content skeleton before rendering:

[TITLE] 今日AI资讯速览
[DATE] 2026-02-28

[01] {headline}
{summary}
#{tag} | {source}

[02] {headline}
{summary}
#{tag} | {source}

[03] {headline}
{summary}
#{tag} | {source}

[04] {headline}
{summary}
#{tag} | {source}

[05] {headline}
{summary}
#{tag} | {source}

[FOOTER] 数据来源: 公开新闻整理
[BRAND] {brand}

Output requirements

  • Primary output: one poster image file (.png)
  • Optional companion output: the normalized JSON used for rendering
  • Keep output deterministic: same input should produce same layout structure

Example trigger prompts

  • "把今天 5 条 AI 新闻做成固定模版海报"
  • "按我们日更样式生成一张 AI 资讯图,给小红书发"
  • "Use today's five AI headlines and make a poster card"

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

86.37%
按下载量换算3,345

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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。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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