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Azure AI Text Analytics Python Client

azure-ai-textanalytics-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for accessing Azure AI Language service capabilities. It enables advanced Natural Language Processing (NLP) features, including sentiment analysis, named entity recognition (NER), key phrase extraction, language detection, and sensitive PII detection. Ideal for building sophisticated text analysis applications and data pipelines.

Azure AI Text Analytics Python Client

azure-ai-textanalytics-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for accessing Azure AI Language service capabilities. It enables advanced Natural Language Processing (NLP) features, including sentiment analysis, named entity recognition (NER), key phrase extraction, language detection, and sensitive PII detection. Ideal for building sophisticated text analysis applications and data pipelines.

Azure AI Text Translator SDK for Python

azure-ai-translation-text-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for interacting with the Azure AI Translator service. It provides robust features including real-time text translation, language detection, script transliteration, and detailed dictionary lookups. Ideal for developers building multilingual applications that require accurate cross-cultural text processing.

Azure AI Text Translator SDK for Python

azure-ai-translation-text-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for interacting with the Azure AI Translator service. It provides robust features including real-time text translation, language detection, script transliteration, and detailed dictionary lookups. Ideal for developers building multilingual applications that require accurate cross-cultural text processing.

Azure AI Translation SDK for TypeScript

azure-ai-translation-ts

sickn33/antigravity-awesome-skills

A comprehensive TypeScript SDK for integrating Azure AI Translator services. It provides robust clients for both real-time text translation (including language detection, transliteration) and large-scale document translation. Users can translate single documents or manage complex batch translation jobs using REST-style API calls, making multilingual support easy to integrate into applications.

Blip2 Vision Language

blip-2-vision-language

Orchestra-Research/AI-Research-SKILLs

Bridges frozen vision encoders and LLMs for high-quality image captioning, VQA, retrieval, and multimodal chat, enabling zero-shot reasoning without fine-tuning and offering efficient Q-Former training.

CLIP Vision-Language Toolkit

Orchestra-Research/AI-Research-SKILLs

CLIP enables general-purpose vision-language tasks through zero-shot image classification, similarity scoring, semantic search, and content moderation using pretrained contrastive embeddings without fine-tuning.

Vision-Based Computer Agents

computer-use-agents

sickn33/antigravity-awesome-skills

Empowers building AI agents that perceive screens, plan via vision-language reasoning, and control mouse/keyboard for desktop automation, with attention to sandboxing and safety across Anthropic, OpenAI, and open-source paradigms.

Context Degradation Patterns

context-degradation

sickn33/antigravity-awesome-skills

Identifies predictable context degradation patterns in large language models to diagnose failures and design resilient agents; covers lost-in-middle, poisoning, distraction, and confusion with mitigation tactics for long or complex conversations.

Context Engineering For LLMs

context-fundamentals

sickn33/antigravity-awesome-skills

A comprehensive guide to understanding the complete state (context) available to Large Language Models during inference. Covers core components like System Prompts, Tool Definitions, Message History, and Retrieval Augmented Generation (RAG). Learning to engineer context is crucial for building robust, efficient, and reliable AI agent systems by managing the attention budget and ensuring high-signal information delivery.

Context Window Management Strategies

context-window-management

sickn33/antigravity-awesome-skills

This skill set provides advanced, structured strategies for optimizing Large Language Model (LLM) interactions. It covers techniques such as intelligent context summarization, dynamic trimming, context routing, and precise token budget allocation to prevent 'context rot'. It is essential for building robust, long-running, multi-turn conversational AI systems.

Deepgram SDK Patterns

deepgram-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Defines production-ready Deepgram SDK usage for TypeScript and Python, covering pre-recorded transcription, live streaming, diarization, multi-language handling, and error responses to guide integrations and team standards.

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