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image-ocr
本地离线 OCR 文字识别,基于 tesseract.js。当用户发图片/截图/扫描件要求提取文字时使用,支持中英文。纯本地运行,无需联网。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
本地离线 OCR 文字识别,基于 tesseract.js。当用户发图片/截图/扫描件要求提取文字时使用,支持中英文。纯本地运行,无需联网。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Use when implementing any feature or bugfix, before writing implementation code
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
SOC 職業分類に基づく
| name | image-ocr |
| version | 2.0.0 |
| description | 本地离线 OCR 文字识别,基于 tesseract.js。当用户发图片/截图/扫描件要求提取文字时使用,支持中英文。纯本地运行,无需联网。 |
| allowed-tools | read,shell |
| requires | {"npm":["tesseract.js"]} |
| metadata | {"tags":["OCR","Images","Text-Extraction","Screenshots","Documents"]} |
基于 tesseract.js(WASM)的本地离线 OCR,零系统依赖。
语言包(~30MB)首次使用自动从 S3 下载,缓存到本地后离线可用。
当用户提供图片并要求识别其中文字时触发:
node <skill-path>/scripts/ocr.js <image-path>
首次运行会自动下载中英文语言包,约 30MB,只需一次。
# 仅英文
node <skill-path>/scripts/ocr.js <image-path> --lang=eng
# 仅中文
node <skill-path>/scripts/ocr.js <image-path> --lang=chi_sim
# 中英混合(默认)
node <skill-path>/scripts/ocr.js <image-path> --lang=chi_sim+eng
node <skill-path>/scripts/ocr.js <image-path> --json
shell 工具将 PDF 每页转为 PNGnode .../scripts/ocr.js <page-N.png>