3. Data, Science & AI

Optimizes ElevenLabs conversational AI agents for real estate applications through voice selection, model tuning, prompt engineering, and performance analysis.

Enables persistent graph-based memory storage and retrieval via MCP Memory server for AI context management.

Guides on ElevenLabs voice cloning techniques, audio quality standards, recording best practices, and training data optimization for professional voice clones.

Debugs and troubleshoots ElevenLabs conversational AI agents and Twilio call issues, including error diagnosis and performance optimization.

Optimizes text-to-speech output using AI-driven prosody control and expressive tone guides to create natural, human-like voice synthesis.

AI-powered resistance training system for intelligent session planning, logging, and injury pattern analysis.

Provides standardized prompt engineering and context engineering principles for AI agents, optimized for clarity, structure, and signal-to-noise ratio per Anthropic best practices.

Fetches and analyzes Readwise reading activity data for specified date ranges, including highlights and saved articles.

Configures AMD Strix Halo (Ryzen AI MAX+ 395) for PyTorch, including ROCm verification, custom builds, and GTT memory tuning to run 30B parameter models.

Integrates external Model Context Protocol (MCP) tools into Claude Code skills by discovering, validating, and generating configurations, including optional Docker setup.

Converts spoken voice input into written text using AI speech recognition, enabling efficient voice-to-text communication.

Analyzes Reddit discussions to extract structured sentiment insights about products, brands, or topics using NLP techniques.

Analyzes session patterns to implement adaptive learning and continuously optimize Alfred's performance.

AI-powered enterprise document processing system for automated content extraction, analysis, and workflow automation across multiple formats.

Provides tools for writing differential and partial differential equations in Typst, and converting LaTeX formulas to Typst format.

Performs numerical computations, linear algebra, and scientific calculations in Julia for data analysis and scientific applications.

Performs basic processing for hydrological and meteorological calculations including radiation, evapotranspiration, and solar times.

Provides data-driven hydrological forecasting for water flow and level predictions to support flood management and water resource planning.

Extracts FileMaker calculations, custom functions, and business logic for PostgreSQL import and maintenance scripts.

Enterprise session state management for Claude AI models, optimizing token usage and ensuring context continuity during interactions.

AI-powered orchestrator for Claude Code hooks, enabling ML-optimized workflow automation with predictive maintenance and compliance monitoring.

AI-powered orchestrator for enterprise skill creation with ML-based content generation, predictive optimization, and automated compliance.

Provides R 4.4+ best practices with testthat 3.2 testing, lintr 3.2 linting, and data analysis patterns.

Enables creation, management, and coordination of custom AI agents with task delegation patterns for complex workflow automation.