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Composio AI ML APIs

ai-ml-api-automation

ComposioHQ/awesome-claude-skills

Automates AI ML API workflows via Composio’s Rube MCP toolkit by searching available tools, validating the ai_ml_api connection, and executing RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments while handling sessions, memory, and pagination.

AI Wrapper Products

ai-wrapper-product

sickn33/antigravity-awesome-skills

Defines how to build AI wrapper products that solve specific customer problems, covering prompt engineering, API cost control, usage metering, and defensible UX so AI becomes a paid, reliable feature.

AI Wrapper Products

ai-wrapper-product

sickn33/antigravity-awesome-skills

Defines how to build AI wrapper products that solve specific customer problems, covering prompt engineering, API cost control, usage metering, and defensible UX so AI becomes a paid, reliable feature.

API Labz Automation Guide

api-labz-automation

ComposioHQ/awesome-claude-skills

Automates API Labz operations through Composio’s toolkit using the Rube MCP pipeline, guiding you to search for current schemas, manage connections, and run discovery, check, execute, and bulk workflows safely.

Apipie AI Automation

apipie-ai-automation

ComposioHQ/awesome-claude-skills

Automates Apipie AI operations through Composio’s toolkit over the Rube MCP channel, guiding you to discover current tool schemas, verify toolkit connections, and execute schema-compliant workflows safely.

Azure Document Intelligence TypeScript SDK

azure-ai-document-intelligence-ts

sickn33/antigravity-awesome-skills

A comprehensive TypeScript client for the Azure Document Intelligence REST API. This SDK allows developers to programmatically extract structured data, text, and tables from various document types, including PDFs and images. It supports using prebuilt models (like invoices, receipts, and IDs) and building custom models for specialized document processing workflows.

Azure Document Intelligence TypeScript SDK

azure-ai-document-intelligence-ts

sickn33/antigravity-awesome-skills

A comprehensive TypeScript client for the Azure Document Intelligence REST API. This SDK allows developers to programmatically extract structured data, text, and tables from various document types, including PDFs and images. It supports using prebuilt models (like invoices, receipts, and IDs) and building custom models for specialized document processing workflows.

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.

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.

Codebase Indexing for Semantic Search

cursor-codebase-indexing

jeremylongshore/claude-code-plugins-plus-skills

This tool optimizes the codebase indexing within Cursor. It processes your entire codebase, converting code chunks into vector embeddings stored in a vector database. This enables advanced @Codebase semantic search, allowing users to ask natural language questions (e.g., "Where is authentication handled?") and retrieve the most relevant code snippets, significantly improving AI context awareness across chat and coding tasks.

Databricks ML Workflow: Training and Serving

databricks-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This guide outlines the complete MLOps workflow on Databricks. It covers feature engineering using Feature Store, tracking experiments with MLflow, managing model versions in the Model Registry, and deploying real-time inference endpoints via Mosaic AI Model Serving. Ideal for building robust, production-grade ML pipelines.

Real-Time Streaming Transcription with Deepgram

deepgram-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This guide demonstrates how to implement robust, real-time, low-latency streaming transcription using Deepgram's WebSocket API. It covers advanced audio handling, including microphone input capture (via Sox), speaker diarization, utterance boundary detection, and implementing automatic reconnection logic. Essential for building professional voice AI applications, live captioning services, or voice interfaces.

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