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Azure Vision Image Analysis

azure-ai-vision-imageanalysis-py

sickn33/antigravity-awesome-skills

Azure AI Vision Image Analysis SDK for Python helps you obtain captions, tags, objects, OCR, people detection, smart crops, and async support to interpret and process imagery in vision applications.

BLIP-2 Vision Language

blip-2-vision-language

Orchestra-Research/AI-Research-SKILLs

BLIP-2 is a vision-language pre-training framework that links frozen image encoders with LLMs to generate captions, answer visual questions, perform image-text retrieval, and drive multimodal chat with strong zero-shot accuracy.

CLIP Vision-Language

Orchestra-Research/AI-Research-SKILLs

OpenAI's CLIP links vision and language for zero-shot image classification, semantic search, content moderation, and cross-modal retrieval without fine-tuning, making it ideal for pipelines needing fast image-text matching or vector search.

Computer Use Agent Pattern

computer-use-agents

sickn33/antigravity-awesome-skills

Describes the perception-reasoning-action loop and sandbox requirements for building desktop-controlling agents with vision models, plus containerized deployment templates and safety practices.

Google Vision Automation

google-cloud-vision-automation

ComposioHQ/awesome-claude-skills

Automates Google Cloud Vision workflows by discovering tools, managing the Composio Rube MCP connection, and executing schema-compliant operations via RUBE_MULTI_EXECUTE_TOOL.

Vision Language Assistant

Orchestra-Research/AI-Research-SKILLs

Open-source LLaVA combines CLIP vision encoder with Vicuna/LLaMA to enable multi-turn vision-language chatbots, visual question answering, image captioning, and instruction following via CLI, Python API, or Gradio interface.

Computer Vision Processing

processing-computer-vision-tasks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to invoke the computer-vision-processor plugin, auto-generating Python calls to run object detection, classification, and segmentation on user-provided images for detailed analysis.

Advanced Vision Engineering Guide

senior-computer-vision

alirezarezvani/claude-skills

Guides production-level computer vision engineering with object detection, segmentation, model optimization, and deployment, covering YOLO/Faster R-CNN/DETR, Mask R-CNN/SAM, vision transformers, PyTorch tooling, ONNX/TensorRT pipelines, and deployment best practices.

Verl RL Training

verl-rl-training

Orchestra-Research/AI-Research-SKILLs

Guides RLHF-style LLM fine-tuning with verl's HybridFlow stack, scaling PPO/GRPO/DAPO across FSDP/Megatron/vLLM backends for math reasoning, agentic multiturn, and vision-language workflows.

Vertex AI Terraform Expert

vertex-infra-expert

jeremylongshore/claude-code-plugins-plus-skills

Specializes in provisioning Vertex AI infrastructure with Terraform, covering Model Garden, Gemini endpoints, vector search indexes, ML pipelines, and enterprise-grade production deployments.

Zai Command Line

jeremylongshore/claude-code-plugins-plus-skills

ZAI CLI exposes vision, search, reader, and GitHub exploration via z.AI APIs so teams can analyze media, scrape pages, and inspect repos from the terminal with commands like vision, search, repo, or read.

Hugging Face Transformers

K-Dense-AI/claude-scientific-skills

Load Hugging Face Transformers to run pipelines for text, vision, audio, and multimodal inference, customize model loading, tokenize inputs, and fine-tune with distributed training on domain-specific datasets.

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