axiom-vision 是做什么的？
在实现任何计算机视觉功能时使用——图像分析、姿态检测、人物分割、主体提取、文本识别、条码扫描。
在实现任何计算机视觉功能时使用——图像分析、姿态检测、人物分割、主体提取、文本识别、条码扫描。
该技能专为需要集成计算机视觉功能的开发者设计，适用于Claude Code、Cursor、Codex等AI代理平台。它提供了一个统一的接口，用于实现包括图像分析、姿态检测、人物分割、主体提取、文本识别（OCR）和条码扫描在内的多种视觉任务。通过使用该技能，开发者可以避免重复造轮子，直接调用预配置的视觉API或库，从而加速开发流程。其设计理念是“即开即用”，用户只需按照文档中的指引配置环境变量和依赖，即可快速在项目中添加视觉能力。适合移动应用、安防系统、自动化质检、文档数字化等场景，能显著降低计算机视觉功能的实现门槛。
npx skills add https://github.com/charleswiltgen/axiom/tree/main/skills/axiom-visionInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
在实现任何计算机视觉功能时使用——图像分析、姿态检测、人物分割、主体提取、文本识别、条码扫描。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.