图像分析
- 作者仓库星标 977
- 叉子 74
- 许可证 MIT
- 作者更新于 2026年6月15日 03:09
- 作者仓库 Axiom
- 领域
- 设计与多媒体
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 94 / 100 · 已通过审计
- 作者 / 版本 / 许可
- @CharlesWiltgen · MIT
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: axiom-vision
description: Use when implementing ANY computer vision feature — image analysis, pose detection, person segme…
category: 设计与多媒体
runtime: 无特殊运行时
---
# axiom-vision 输出预览
## PART A: 任务判断
- 适用问题:视觉内容、演示材料、信息图或设计交付。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Quick Reference / Decision Tree / Critical Patterns”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于视觉内容、演示材料、信息图或设计交付,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Quick Reference / Decision Tree / Critical Patterns”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“Quick Reference / Decision Tree / Critical Patterns”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: axiom-vision
description: Use when implementing ANY computer vision feature — image analysis, pose detection, person segme…
category: 设计与多媒体
source: CharlesWiltgen/Axiom
---
# axiom-vision
## 什么时候使用
- 视觉功能卡壳时,指导实现 Apple Vision 相关能力 覆盖图像分析、姿态检测、分割抠图、OCR、条码和文档扫描 按任务跳转实现指南、API 参考与诊断清单 本地运行,适配 Claude Code、Cursor、Cline、Cod…
- 面向视觉内容、演示材料、信息图或设计交付,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Quick Reference / Decision Tree / Critical Patterns」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "axiom-vision" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Quick Reference / Decision Tree / Critical Patterns
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Computer Vision
You MUST use this skill for ANY computer vision work using the Vision framework.
Quick Reference
| Symptom / Task | Reference |
|---|---|
| Subject segmentation, lifting | See skills/vision-framework.md |
| Hand/body pose detection | See skills/vision-framework.md |
| Text recognition (OCR) | See skills/vision-framework.md |
| Barcode/QR code detection | See skills/vision-framework.md |
| Document scanning | See skills/vision-framework.md |
| DataScannerViewController | See skills/vision-framework.md |
| Structured document extraction (iOS 26+) | See skills/vision-framework.md |
| Isolate object excluding hand | See skills/vision-framework.md |
Tap-to-segment any object OS27 |
See skills/vision-ref.md |
Vision on watchOS watchOS27 |
See skills/vision-ref.md |
Vision tools for Foundation Models (BarcodeReaderTool, OCRTool) OS27 |
See skills/vision-ref.md |
| Vision framework API reference | See skills/vision-ref.md |
| Visual Intelligence integration (iOS 26+, iPadOS27/macOS27) | See skills/vision-ref.md |
Sensitive content classification (nudity/gore/violence), categorized via detectedTypes (OS27) |
See skills/vision-ref.md |
| Subject not detected | See skills/vision-diag.md |
| Hand/body pose missing landmarks | See skills/vision-diag.md |
| Low confidence observations | See skills/vision-diag.md |
| UI freezing during processing | See skills/vision-diag.md |
| Coordinate conversion bugs | See skills/vision-diag.md |
| Text not recognized / wrong chars | See skills/vision-diag.md |
| Barcode not detected | See skills/vision-diag.md |
| DataScanner blank / no items | See skills/vision-diag.md |
| Document edges not detected | See skills/vision-diag.md |
Decision Tree
digraph vision {
start [label="Computer vision task" shape=ellipse];
what [label="What do you need?" shape=diamond];
start -> what;
what -> "skills/vision-framework.md" [label="implement feature"];
what -> "skills/vision-ref.md" [label="API reference"];
what -> "skills/vision-ref.md" [label="Visual Intelligence"];
what -> "skills/vision-ref.md" [label="tap-to-segment / watchOS / FM tools (27)"];
what -> "skills/vision-diag.md" [label="something broken"];
}
- Implementing (pose, segmentation, OCR, barcodes, documents, live scanning)? →
skills/vision-framework.md - Visual Intelligence system integration (camera/screenshot search; iOS 26+, iPadOS27/macOS27)? →
skills/vision-ref.md(Visual Intelligence section) - Tap-to-segment, Vision on watchOS, or Vision tools for Foundation Models (27 cycle)? →
skills/vision-ref.md - Need API reference / code examples? →
skills/vision-ref.md - Debugging issues (detection failures, confidence, coordinates)? →
skills/vision-diag.md
Critical Patterns
Implementation (skills/vision-framework.md):
- Decision tree for choosing the right Vision API
- Subject segmentation with VisionKit
- Isolating objects while excluding hands (combining APIs)
- Hand/body pose detection (21/19 landmarks)
- Text recognition (fast vs accurate modes)
- Barcode detection with symbology selection
- Document scanning and structured extraction (iOS 26+)
- Live scanning with DataScannerViewController
- CoreImage HDR compositing
Diagnostics (skills/vision-diag.md):
- Subject detection failures (edge of frame, lighting)
- Landmark tracking issues (confidence thresholds)
- Performance optimization (frame skipping, downscaling)
- Coordinate conversion (lower-left vs top-left origin)
- Text recognition failures (language, contrast)
- Barcode detection issues (symbology, size, glare)
- DataScanner troubleshooting (availability, data types)
Anti-Rationalization
| Thought | Reality |
|---|---|
| "Vision framework is just a request/handler pattern" | Vision has coordinate conversion, confidence thresholds, and performance gotchas. vision-framework.md covers them. |
| "I'll handle text recognition without the skill" | VNRecognizeTextRequest has fast/accurate modes and language-specific settings. vision-framework.md has the patterns. |
| "Subject segmentation is straightforward" | Instance masks have HDR compositing and hand-exclusion patterns. vision-framework.md covers complex scenarios. |
| "Visual Intelligence is just the camera API" | Visual Intelligence is a system-level feature requiring IntentValueQuery and SemanticContentDescriptor. vision-ref.md has the integration section. |
| "I'll just process on the main thread" | Vision blocks UI on older devices. Users on iPhone 12 will experience frozen app. 15 min to add background queue. |
Example Invocations
User: "How do I detect hand pose in an image?"
→ See skills/vision-framework.md
User: "Isolate a subject but exclude the user's hands"
→ See skills/vision-framework.md
User: "How do I read text from an image?"
→ See skills/vision-framework.md
User: "Scan QR codes with the camera"
→ See skills/vision-framework.md
User: "Subject detection isn't working"
→ See skills/vision-diag.md
User: "Text recognition returns wrong characters"
→ See skills/vision-diag.md
User: "Show me VNDetectHumanBodyPoseRequest examples"
→ See skills/vision-ref.md
User: "How do I make my app work with Visual Intelligence?"
→ See skills/vision-ref.md
User: "Let users tap an object in a photo to cut it out"
→ See skills/vision-ref.md (Iterative Segmentation)
User: "Can I use Vision in my watchOS app?"
→ See skills/vision-ref.md (Vision on watchOS)
User: "RecognizeDocumentsRequest API reference"
→ See skills/vision-ref.md
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核