3. Data, Science & AI

Provides real-time weather data for specified locations using external weather APIs.

Fetches web content and converts it to markdown for efficient input into large language models (LLMs).

Generates optimized meta-prompts for multi-stage AI agent workflows, enabling research, planning, and execution in agent-to-agent pipelines.

Expert guidance for creating, building, and using Claude Code subagents and the Task tool for AI agent development.

Analyzes coaching transcription data to calculate session metrics and generate daily reports for Field Labs coaching sessions.

Creates optimized prompts for Claude-to-Claude pipelines enabling research, planning, and execution stages where outputs feed sequentially into subsequent prompts.

Aggregates and merges data from multiple sources (App Store, GitHub, Skillz) for reporting, dashboards, and analysis.

Analyzes GitHub commits and PRs to generate code reviews, contributor leaderboards, and code quality assessments for development team reporting.

Implements RAG patterns with Azure AI Search, covering Agentic, Full-Text, and Vector Search for building RAG pipelines and grounding LLM responses.

Manages configuration settings for ElevenLabs Conversational AI agents, including prompts, voice, MCP servers, and conversation parameters for behavior and integration updates.

Generates HTML-based reports, charts, and dashboards with neo-brutal design for data visualization in GitHub activity, Fieldy, and Skillz analytics.

Builds AI agents and multi-agent workflows with tool calling, streaming, and orchestration patterns using Microsoft Agent Framework for Azure deployment.

Provides AI-powered access to GitHub repository documentation, enabling browsing, content viewing, and question answering via a knowledge base.

Fetches top post titles and links from specified Reddit subreddits using the JSON API without authentication.

Analyzes algorithmic trading backtest results from Jupyter notebooks, generating concise performance summary reports.

Audits data, models, and workflows for bias and inclusivity, identifying algorithmic biases and recommending mitigation strategies for equitable outcomes.

Automates ETL workflows and builds canonical datasets through scalable data ingestion and transformation pipelines for analytics support.

Extracts objectives, deliverables, timelines, and hypotheses from pilot documentation into structured data for downstream analysis.

Enables setup, configuration, and optimization of AI model inference and serving for Llama family models using frameworks like vLLM and GGUF format.

Provides an SDK for building, deploying, and orchestrating AI agents, enabling developers to create and manage complex AI workflows.

Enables real-time voice agent development with Azure Voice Live API, supporting speech processing, avatar integration, and VoiceRAG for conversational AI applications.

Creates visual dashboards to present data insights and trends, including executive summaries and interactive/static layouts for stakeholder reporting.

Builds GenAI applications with Microsoft Azure AI Foundry SDK, supporting chat, agents, file search, and OpenAI-compatible model deployments.

Creates GitHub Copilot Custom Agents with proper YAML frontmatter, tool configuration, and prompt engineering for AI-assisted coding workflows.