3. Data, Science & AI

Provides deep expertise in selecting, training, and architecting machine learning and computer vision models for system design.

Assists developers in using AI SDKs to build agents, chatbots, and text generation features with provider support and tool calling capabilities.

Enables lean multi-agent orchestration with task tracking for efficient agent delegation in LLM applications, avoiding complex frameworks.

Creates a lightweight system for orchestrating multiple AI agents with task tracking, enabling efficient agent delegation without complex infrastructure.

Retrieves user's Twitter/X liked tweets and bookmarks for data archiving or analysis purposes.

Processes multimodal content (PDFs, images, videos) via Google Gemini to extract information requiring vision or multimodal understanding.

Generates AI-powered chapter summaries with timestamps for YouTube videos, enabling structured video navigation and content overview.

Ensures AI responses are evidence-based and free from hallucinations when analyzing code or providing recommendations, enhancing reliability and trustworthiness.

Queries the Digital Pāḷi Dictionary database for words, roots, definitions, and related linguistic information.

Expertise in managing Supabase database, authentication, and backend services for seamless project data operations and development.

Runs genomic data analysis including RNA-seq, literature mining, and visualization using Lobster AI for H5AD, GEO, and SRA datasets.

AI-powered web scraper for extracting data from social media, search engines, and travel sites for business intelligence and analysis.

Scrapes web data and delivers structured JSON/CSV outputs for analysis and data processing tasks.

Routes uploaded data files (CSV, Excel, JSON, images, PDF, HTML) to appropriate analysis skills for processing and insights.

Performs statistical analysis and data processing for financial, business, and scientific domains using pandas, numpy, and scikit-learn.

Enables cross-session personalization by persistently storing user identity, preferences, and facts for tailored interactions.

Generates static PNG and interactive HTML data visualizations (charts, graphs) from input datasets.

Provides an execution engine for Google's Gemini AI model, enabling integration and utilization of its capabilities.

Enables synchronized task execution across multiple AI models including Claude, Codex, and Gemini through a unified coordination protocol.

Execution engine for Google's Gemini AI model, enabling integration and future expansion of AI capabilities.

AI system that analyzes software errors and bugs to learn patterns and prevent recurrence through machine learning.

An optional AI-driven engine for executing code with artificial intelligence capabilities, providing intelligent code processing and execution.

Manages AI agent memory by separating project context from general knowledge base, enabling context-aware interactions without knowledge contamination.

Manages project-specific memory persistence across user sessions, ensuring stateful data retention for continuous interactions.