Agent Skillsaduermael/herm › image-vision

image-vision

GitHub

基于CPSL doc模块进行图像和PDF视觉分析。支持单/多文件读取,允许自定义查询以提取图表、手写或布局信息。强调直接利用视觉模型结果作答,严禁猜测路径或擅自降级为结构化提取。

app/apple/herm/Skills/image-vision/SKILL.md aduermael/herm

触发场景

需要分析图片内容(如照片、截图) 需要从PDF中提取视觉元素(如图表、手写体、UI布局) 涉及OCR或像素级视觉理解的任务

安装

npx skills add aduermael/herm --skill image-vision -g -y
更多选项

非标准路径

npx skills add https://github.com/aduermael/herm/tree/main/app/apple/herm/Skills/image-vision -g -y

不安装直接使用

npx skills use aduermael/herm@image-vision

指定 Agent (Claude Code)

npx skills add aduermael/herm --skill image-vision -a claude-code -g -y

安装 repo 全部 skill

npx skills add aduermael/herm --all -g -y

预览 repo 内 skill

npx skills add aduermael/herm --list

SKILL.md

Frontmatter
{
    "name": "image-vision",
    "description": "Inspect attached or local images and visually analyze PDFs with CPSL vision. Use for photos, screenshots, scans, charts, diagrams, OCR, handwriting, UI inspection, or any task that depends on pixels, layout, or other non-structural page content."
}

Image Vision

Use CPSL's doc module with the exact attachment or local path. Do not guess or rewrite the path.

Read One File

Start with the simplest form:

local result = doc.read("/attachments/conversation-id/photo.jpeg")
print(result)

Images and PDFs default to vision when the vision callback is available. The built-in prompt extracts the document as structured Markdown and describes images, charts, diagrams, and other visual elements. This default is appropriate for most requests. Other supported document types default to structural extraction.

Treat the returned text as the visual model's analysis, then answer the user's question rather than merely repeating the extraction.

Supported visual inputs include PDF, PNG, JPEG, WebP, and GIF files.

Read Multiple Files

Issue all asynchronous reads before awaiting any result so vision requests can run in parallel:

local front = doc.readAsync("/attachments/conversation-id/front.jpeg")
local back = doc.readAsync("/attachments/conversation-id/back.jpeg")

local frontText = front:await()
local backText = back:await()
print(frontText)
print(backText)

Customize The Prompt

Set query only when the user needs a narrower analysis, special output format, or more detail than the default extraction:

local result = doc.read("/attachments/conversation-id/chart.jpeg", {
  query = "Extract the chart's title, axis labels, legend, and data values as a Markdown table."
})
print(result)

Preserve the user's request in the query. Set mode = "vision" when an explicit visual-mode override is useful:

local result = doc.read("/attachments/conversation-id/report.pdf", {
  mode = "vision",
  query = "Describe the page layout and all diagrams."
})
print(result)

Use mode = "structural" for a PDF when machine-readable text matters and visual interpretation is unnecessary. When both appearance and exact embedded text matter, run vision and structural reads separately and distinguish their results. Do not substitute structural extraction for requested visual analysis.

Failure Handling

  • Treat vision callback ... not available, provider configuration, authentication, and unsupported-model errors as authoritative. Report the limitation and stop after that failure.
  • Do not retry through image resizing, EXIF inspection, color or pixel sampling, ASCII rendering, browser upload, network services, or invented OCR APIs.
  • Do not silently fall back to structural mode when the task requires seeing pixels, layout, handwriting, charts, or diagrams.
  • Never claim to have seen or analyzed a file unless the vision read succeeded.

版本历史

  • f2da284 当前 2026-07-19 13:56

同 Skill 集合

app/apple/herm/Skills/apple-context/SKILL.md
app/apple/herm/Skills/beautiful-pdfs/SKILL.md
app/apple/herm/Skills/webbrowser/SKILL.md
skills/c-bounds-safety/SKILL.md
skills/device-interaction/SKILL.md
skills/modernize-tests/SKILL.md
skills/uikit-app-modernization/SKILL.md
skills/audit-xcode-security-settings/SKILL.md
skills/swiftui-specialist/SKILL.md
skills/swiftui-whats-new-27/SKILL.md

元信息

文件数
0
版本
f2da284
Hash
0ea72100
收录时间
2026-07-19 13:56

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