3. Data, Science & AI

Manages Dialogflow CX intents and entity types via REST API for natural language understanding components.

Specializes in detecting price swings and filtering NIFTY options strikes for algorithmic trading strategy optimization.

Guides creation of autonomous AI agents for Claude Code plugins using markdown and YAML frontmatter, covering system prompts and behavior configuration.

An AI-driven system that observes user sessions, creates and scores atomic learning units, and evolves them into adaptive skills and agents.

Manages Dialogflow CX flows and pages using REST API to create and organize chatbot conversation paths.

Guides construction of Model Context Protocol (MCP) servers enabling LLMs to interact with external services through tool interfaces and protocol handlers.

Automates AI recommendation system and question routing testing by simulating user profiles across game stages and account types.

Compares lineup recommendations between Claude and OpenAI models, validates the lineup engine, and generates training data for model fine-tuning.

Provides cost data for upgrades including materials, ROI, and requirements. Uses verified tabular data model for accurate recommendations.

Tool for querying Convex database instances, inspecting data, listing tables, and checking deployments via Convex MCP server.

Specialized tool for testing and validating NIFTY options pricing and market behavior through financial data analysis.

Provides a virtual social environment where AI agents interact and collaborate in a pub-like setting.

Validates game data files against source data to verify accuracy, identify inconsistencies, and ensure data integrity across JSON files.

Generates rules-based hero upgrade recommendations using verified game data for optimal in-game progression.

Analyzes PDFs and images using Gemini 2.5 Flash via OpenRouter for information extraction and question answering.

Provides best practices for integrating and utilizing HeyGen's AI avatar video creation API efficiently.

Authoring tool for creating, converting, and validating agent skills according to the specified format for AI agent frameworks.

Configures Ralph Loop orchestration for autonomous agent workflows and defines acceptance criteria patterns in AI development contexts.

Sets a default personality for AI assistants to ensure responses are helpful, harmless, and honest.

Natural language-driven data analysis and knowledge management system using Qwen and Llama models with vector search on ARM64 devices.

Designs scenario-based tests to evaluate AI agent behavior, providing comprehensive test coverage for skills, commands, and agents.

Provides comprehensive tools for creating, editing, and analyzing spreadsheets with support for formulas, formatting, data analysis, and visualization across multiple spreadsheet formats.

Expertise in DuckDB for analytical SQL queries, file-based data processing (Parquet, CSV, JSON), and OLAP workloads.

Generates and stores document embeddings for RAG pipelines using Ollama and pgvector.