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blog-image-embedder博客图像嵌入器

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

9,008

周安装

383

GitHub Stars

公开资料未说明

下载量

3,156
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:blog-image-embedder(博客图像嵌入器)
来源仓库:https://github.com/j3ffyang/blog-image-embedder
安装命令:
openclaw skills install blog-image-embedder
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 blog-image-embedder

简介

分析精美的 zh-CN 博客 Markdown,生成英雄 + 每个部分的图像提示,将图像占位符嵌入到 Markdown 中,并保存更新的版本。

SKILL.md

name
blog-image-embedder
description
Analyze polished zh-CN blog markdown, generate hero + per-section image prompts, embed image placeholders into the markdown, and save updated version.
author
Jeff Yang
version
1.0.4
tags
[openclaw, clawhub, blog, images, prompts, embed, markdown]
metadata
openclaw
requires
[]
platforms
["linux", "darwin"]
inputSchema
type
object
properties
imageModel
type
string
default
openai/gpt-5-mini
enum
["openai/gpt-5-mini", "openai/dall-e-3", "stability/ai-sdxl"]
polishedPath
type
string
description
Path to polished markdown from blog-polish-zhcn
pattern
.*\\.md$
outputDir
type
string
default
~/.openclaw/workspace/contentPolished/
style
type
string
default
clean flat vector illustration, minimal isometric, software-engineering diagram vibe
background
type
string
default
white background with subtle grid
aspectRatioHero
type
string
default
16:9 horizontal
aspectRatioSection
# ← ADD MISSING
type
string
default
16:9
imageWidth
# ← SAME LEVEL as aspectRatioHero
type
integer
default
800 # ← FIXED: 1200 for hero
description
Width in pixels for hero image
imageHeight
type
integer
default
450
sectionWidth
type
integer
default
800
imageQuality
type
string
enum
["low", "medium", "high", "ultra"]
default
medium
imageFormat
type
string
enum
["png", "jpg", "webp"]
default
png
required
["polishedPath", "outputDir"]
outputSchema
type
object
properties
illustratedPath
{ type: string }
imagePrompts
{ type: array }
imagePaths
{ type: array }
required
["illustratedPath", "imagePrompts", "imagePaths"]
workflow
description
Find latest *.md in outputDir
inputs
["outputDir"]
outputs
["polishedPath"]
run
|
description
Read polished markdown from disk
inputs
["polishedPath"]
outputs
["markdownContent"]
run
|
description
Extract title and sections from markdown
inputs
["markdownContent"]
outputs
["title", "sections"]
llm
true
description
Generate hero & section images using configured model
inputs
["sections", "style", "background", "imageModel", "imageWidth", "imageHeight", "imageQuality"]
outputs
["imagePrompts", "imagePaths"]
image
true
params
model
${imageModel}
width
${imageWidth}
height
${imageHeight}
quality
${imageQuality}
format
png
description
Insert [image:x] placeholders and save illustrated markdown
inputs
["markdownContent", "imagePaths", "outputDir"]
outputs
["illustratedPath"]
run
|
run
|

Blog Image Embedder

Analyzes polished zh-CN markdown, generates consistent image prompts (hero + 1 per section), embeds [image:x] placeholders, saves illustrated version.

When to Use

Use after blog-polish-zhcn completes. Input is polishedPath from first skill. Triggers: "add images to my polished blog", "generate image prompts for sections".

Defaults

  • style: clean flat vector illustration, minimal isometric, software-engineering diagram vibe
  • background:

default: white background with subtle grid

  • aspectRatioHero: 16:9 horizontal
  • aspectRatioSection: 16:9

Workflow Summary

  1. Read polished markdown from input.polishedPath
  2. Parse structure: Extract title + ## section headings (expect 3-4 sections)
  3. Generate prompts:

- Hero: [Hero of {title}]: {topic summary}, {style}, {background}, 16:9 - Section N: [Section {N} of {title}]: {section summary}, {style}, {background}, 16:9

  1. Embed placeholders: Insert `\

\ [image:0]\ \ after title, \ \ [image:1]\ \ ` after first section, etc.

  1. Save: ${outputDir}/${ts}-illustrated.md
  2. Return: { illustratedPath, imagePrompts: [...], imagePaths: [...] }

Output Format

{
  "illustratedPath": "/home/jeff/.openclaw/workspace/contentPolished/2603142145-illustrated.md",
  "imagePrompts": ["Hero prompt...", "Section 1 prompt...", "Section 2 prompt..."],
  "imagePaths": ["2603142145-main.png", "2603142145-section1.png", "2603142145-section2.png"]
}

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

70.2%
按下载量换算2,216

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

权限需确认

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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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