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Azure AI Search Python SDK

azure-search-documents-py

sickn33/antigravity-awesome-skills

The official SDK for interacting with Azure AI Search service using Python. It provides comprehensive functionality for advanced search retrieval, including full-text search, vector similarity search (HNSW), hybrid search, and semantic ranking. Use this tool to build sophisticated enterprise search applications that require deep content understanding and precise information retrieval.

Azure Speech To Text REST API Python

azure-speech-to-text-rest-py

sickn33/antigravity-awesome-skills

A Python implementation utilizing the Azure Speech-to-Text REST API for transcribing short audio files (up to 60 seconds). This method avoids the need for the dedicated Speech SDK, allowing developers to perform speech recognition simply by making HTTP POST requests. It supports both simple and detailed response formats and recommends chunked transfer for lower latency.

Canary Deployment Setup

canary-deployment-setup

jeremylongshore/claude-code-plugins-plus-skills

Provides automated guidance for setting up canary deployments in ML production environments, covering model serving, MLOps pipelines, monitoring, and configuration validation.

AI Search Optimization Guide

coreyhaines31/marketingskills

Guides teams through AI SEO practices that make content discoverable and citable by assistants like ChatGPT, Gemini, Perplexity, and Google AI Overviews, including visibility audits, extractability checks, and bot access review.

Bannerbear Automation Workflow

bannerbear-automation

ComposioHQ/awesome-claude-skills

Automate Bannerbear operations through the Composio Rube MCP toolkit by discovering up-to-date tools, ensuring active connections, and executing schema-compliant operations with memory-aware multi-tool calls.

Batch Inference Pipeline

batch-inference-pipeline

jeremylongshore/claude-code-plugins-plus-skills

Guides ML teams through automated batch inference pipelines, suggesting best practices, monitoring and production readiness, and generating code and configs for deployment.

Batch Request Handler

batch-request-handler

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for batch request handler tasks inside API integration workflows, covering best practices, code generation, webhook patterns, and validations when dealing with third-party APIs.

Adaptive AI Operating Modes

behavioral-modes

sickn33/antigravity-awesome-skills

This skill defines structured behavioral frameworks (e.g., Brainstorm, Implement, Debug, Review, Teach, Ship) to guide the AI's output and approach based on the specific task phase. It optimizes performance by ensuring the AI adopts the correct mindset and output format—from initial ideation to final deployment—guaranteeing systematic, high-quality results across the entire development lifecycle.

BigQuery ML Creator

bigquery-ml-model-creator

jeremylongshore/claude-code-plugins-plus-skills

Automated GCP skill that activates when you ask about BigQuery ML model creator tasks, delivering best-practice guidance, production-ready code, and validation for compute, storage, BigQuery, Vertex AI, and other platform services.

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.

Autonomous Multi-Model AI Agent

sickn33/antigravity-awesome-skills

BlockRun acts as a universal gateway to advanced AI capabilities. It routes user requests to specialized models (e.g., DALL-E for image generation, Grok for real-time X/Twitter data, GPT-5.2 for complex reasoning) using a micropayment wallet system. This allows the agent to execute tasks autonomously by paying for necessary services, ensuring high capability and managing user spending.

Botpress Rube Automation

botpress-automation

ComposioHQ/awesome-claude-skills

Use Composio’s Botpress toolkit through Rube MCP to orchestrate Botpress workflows: always search tools for the latest schemas, confirm the Botpress connection, then execute discovered operations via RUBE_MULTI_EXECUTE_TOOL with schema-compliant inputs.

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