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Azure Event Hubs Rust SDK

azure-eventhub-rust

sickn33/agentic-awesome-skills

Client library for Azure Event Hubs in Rust, enabling sending and receiving events, batch processing, and streaming data ingestion. Ideal for building scalable event-driven applications with high-throughput data pipelines.

Azure Event Hubs TypeScript SDK

azure-eventhub-ts

sickn33/agentic-awesome-skills

This skill covers using the Azure Event Hubs SDK for TypeScript to build high-throughput event streaming applications. It includes real-time data ingestion, sending events to specific partitions, receiving events with checkpointing for production reliability, and handling batch processing options. Ideal for IoT telemetry and real-time data pipelines.

Azure Speech REST Transcription

azure-speech-to-text-rest-py

sickn33/agentic-awesome-skills

Python REST API examples for transcribing short audio files up to 60 seconds with Azure Speech to Text. Covers WAV/OGG formats, chunked streaming, response parsing, and key or bearer-token authentication without the Speech SDK.

Offline Telegram Chat Need Miner

chatexport-need-miner

sickn33/agentic-awesome-skills

Mines offline Telegram Desktop result.json exports for unmet market needs and product opportunities using chunked streaming, cross-chat clustering, and verbatim quote grounding.

Codex CLI Coding Subagent

sickn33/agentic-awesome-skills

This skill enables launching OpenAI's Codex CLI as an isolated subagent for bounded coding, review, or verification tasks. It runs non-interactively in a sandbox, streaming progress while keeping context separate. Ideal for parallel work, independent verification, and self-contained coding tasks with clear success criteria. Users must ensure authentication and handle file ownership explicitly.

Data Engineering Expert

sickn33/agentic-awesome-skills

Expert data engineer specializing in scalable data pipelines, modern data warehouses, lakehouse architectures, and real-time streaming. Proficient in Apache Spark, dbt, Airflow, Kafka, and cloud-native platforms (AWS, Azure, GCP). Focuses on reliable, performant, and cost-effective data solutions with strong emphasis on data quality and governance.

Data Pipeline Architecture

data-engineering-data-pipeline

sickn33/agentic-awesome-skills

Design scalable, reliable and cost-effective batch and streaming data pipelines. Covers ETL/ELT, Lambda, Kappa and Lakehouse patterns, Airflow/Prefect orchestration, dbt and Spark transformations, Delta Lake/Iceberg storage, data quality checks and cost optimization.

GCP Audit Logs Configuration

sickn33/agentic-awesome-skills

Configure GCP Cloud Audit Logs for compliance and security investigation. Set up log sinks to BigQuery, Cloud Storage, and Pub/Sub for export and real-time streaming. Query audit logs to monitor admin activity, data access, and policy changes.

Integrating Google Gemini API for AI Projects

gemini-api-integration

sickn33/agentic-awesome-skills

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

Gemini Interactions API

gemini-interactions-api

sickn33/agentic-awesome-skills

Build with the Gemini Interactions API for text, chat, multimodal generation, streaming, managed or background agents, function calling, structured output, and generateContent migrations. Includes current models, agents, SDKs, and critical usage rules.

Gemini Live API Development

gemini-live-api-dev

sickn33/agentic-awesome-skills

Build real-time bidirectional streaming applications using the Gemini Live API. Supports WebSocket-based audio/video/text streaming, voice activity detection, function calling, and session management. Includes SDKs for Python and JavaScript for low-latency AI interactions.

Microsoft 365 Agents SDK Python

sickn33/agentic-awesome-skills

Build enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft Agents SDK for Python. Supports aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based authentication.

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