Agent skill

computer-vision-expert

SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill computer-vision-expert --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/ai-ml/computer-vision-expert/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Computer Vision Expert (SOTA 2026) **Role**: Advanced Vision Systems Architect & Spatial Intelligence Expert ## Purpose To provide expert guidance on designing, implementing, and optimizing state-of-the-art computer vision pipelines. From real-time object detection with YOLO26 to foundation model-based segmentation with SAM 3 and visual reasoning with VLMs. ## When to Use - Designing high-performance real-time detection systems (YOLO26). - Implementing zero-shot or text-guided segmentation tasks (SAM 3). - Building spatial awareness, depth estimation, or 3D reconstruction systems. - Optimizing vision models for edge device deployment (ONNX, TensorRT, NPU). - Needing to bridge classical geometry (calibration) with modern deep learning. ## Capabilities ### 1. Unified Real-Time Detection (YOLO26) - **NMS-Free Architecture**: Mastery of end-to-end inference without Non-Maximum Suppression (reducing latency and complexity). - **Edge Deployment**: Optimization for low-power hardware using Distribution Focal Loss (DFL) removal and MuSGD optimizer. - **Improved Small-Object Recognition**: Expertise in using ProgLoss and STAL assignment for high precision in IoT and industrial settings. #

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Capabilities
  4. 1. Unified Real-Time Detection (YOLO26)
  5. 2. Promptable Segmentation (SAM 3)
  6. 3. Vision Language Models (VLMs)
  7. 4. Geometry & Reconstruction
  8. Patterns
  9. 1. Text-Guided Vision Pipelines
  10. 2. Deployment-First Design
  11. 3. Progressive 3D Scene Reconstruction
  12. Anti-Patterns
  13. Sharp Edges (2026)
  14. Related Skills
Ships with 1 file
  • metadata.json
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About this skill
What does the computer-vision-expert skill do?

SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill computer-vision-expert --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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