Skill · em Dados, IA e pesquisa
senior-computer-vision
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when…
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/skills/development/senior-computer-vision - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 21 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
7 arquivos · 17,9 KB · inclui 3 scripts que executam: scripts/dataset_pipeline_builder.py, scripts/inference_optimizer.py, scripts/vision_model_trainer.py
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/skills/senior-computer-vision/.
d=".claude/skills/senior-computer-vision" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-computer-vision" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/computer_vision_architectures.md" "$u/references/computer_vision_architectures.md" \ -o "$d/references/object_detection_optimization.md" "$u/references/object_detection_optimization.md" \ -o "$d/references/production_vision_systems.md" "$u/references/production_vision_systems.md" \ -o "$d/scripts/dataset_pipeline_builder.py" "$u/scripts/dataset_pipeline_builder.py" \ -o "$d/scripts/inference_optimizer.py" "$u/scripts/inference_optimizer.py" \ -o "$d/scripts/vision_model_trainer.py" "$u/scripts/vision_model_trainer.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/skills/senior-computer-vision/.
d="$HOME/.claude/skills/senior-computer-vision" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-computer-vision" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/computer_vision_architectures.md" "$u/references/computer_vision_architectures.md" \ -o "$d/references/object_detection_optimization.md" "$u/references/object_detection_optimization.md" \ -o "$d/references/production_vision_systems.md" "$u/references/production_vision_systems.md" \ -o "$d/scripts/dataset_pipeline_builder.py" "$u/scripts/dataset_pipeline_builder.py" \ -o "$d/scripts/inference_optimizer.py" "$u/scripts/inference_optimizer.py" \ -o "$d/scripts/vision_model_trainer.py" "$u/scripts/vision_model_trainer.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: instala em .agents/skills/senior-computer-vision/.
d=".agents/skills/senior-computer-vision" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-computer-vision" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/computer_vision_architectures.md" "$u/references/computer_vision_architectures.md" \ -o "$d/references/object_detection_optimization.md" "$u/references/object_detection_optimization.md" \ -o "$d/references/production_vision_systems.md" "$u/references/production_vision_systems.md" \ -o "$d/scripts/dataset_pipeline_builder.py" "$u/scripts/dataset_pipeline_builder.py" \ -o "$d/scripts/inference_optimizer.py" "$u/scripts/inference_optimizer.py" \ -o "$d/scripts/vision_model_trainer.py" "$u/scripts/vision_model_trainer.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.agents/skills/senior-computer-vision/.
d="$HOME/.agents/skills/senior-computer-vision" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-computer-vision" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/computer_vision_architectures.md" "$u/references/computer_vision_architectures.md" \ -o "$d/references/object_detection_optimization.md" "$u/references/object_detection_optimization.md" \ -o "$d/references/production_vision_systems.md" "$u/references/production_vision_systems.md" \ -o "$d/scripts/dataset_pipeline_builder.py" "$u/scripts/dataset_pipeline_builder.py" \ -o "$d/scripts/inference_optimizer.py" "$u/scripts/inference_optimizer.py" \ -o "$d/scripts/vision_model_trainer.py" "$u/scripts/vision_model_trainer.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Antigravity
Neste projeto: instala em .agents/skills/senior-computer-vision/.
d=".agents/skills/senior-computer-vision" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-computer-vision" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/computer_vision_architectures.md" "$u/references/computer_vision_architectures.md" \ -o "$d/references/object_detection_optimization.md" "$u/references/object_detection_optimization.md" \ -o "$d/references/production_vision_systems.md" "$u/references/production_vision_systems.md" \ -o "$d/scripts/dataset_pipeline_builder.py" "$u/scripts/dataset_pipeline_builder.py" \ -o "$d/scripts/inference_optimizer.py" "$u/scripts/inference_optimizer.py" \ -o "$d/scripts/vision_model_trainer.py" "$u/scripts/vision_model_trainer.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.gemini/antigravity-cli/skills/senior-computer-vision/.
d="$HOME/.gemini/antigravity-cli/skills/senior-computer-vision" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/development/senior-computer-vision" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/computer_vision_architectures.md" "$u/references/computer_vision_architectures.md" \ -o "$d/references/object_detection_optimization.md" "$u/references/object_detection_optimization.md" \ -o "$d/references/production_vision_systems.md" "$u/references/production_vision_systems.md" \ -o "$d/scripts/dataset_pipeline_builder.py" "$u/scripts/dataset_pipeline_builder.py" \ -o "$d/scripts/inference_optimizer.py" "$u/scripts/inference_optimizer.py" \ -o "$d/scripts/vision_model_trainer.py" "$u/scripts/vision_model_trainer.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Peça ao Rook
Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.senior-computer-vision
Prévia do SKILL.md
---
name: senior-computer-vision
description: World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vis…
---
# Senior Computer Vision Engineer
World-class senior computer vision engineer skill for production-grade AI/ML/Data systems.
## Quick Start
### Main Capabilities
```bash
# Core Tool 1
python scripts/vision_model_trainer.py --input data/ --output results/
# Core Tool 2
python scripts/inference_optimizer.py --target project/ --analyze
# Core Tool 3
python scripts/dataset_pipeline_builder.py --config config.yaml --deploy
```
## Core Expertise
This skill covers world-class capabilities in:
- Advanced production patterns and architectures
- Scalable system design and implementation
- Performance optimization at scale
- MLOps and DataOps best practices
- Real-time processing and inference
- Distributed computing frameworks
- Model deployment and monitoring
- Security and compliance
- Cost optimization
- Team leadership and mentoring
## Tech Stack
…