3. Data, Science & AI

Provides a Python client to search and retrieve Bluetooth SIG Qualified Products data, including certification details and product information from the Bluetooth SIG database.

Provides best practices for optimizing AI prompts, designing system prompts, and improving LLM output quality for enhanced AI application performance.

Provides expert guidance for designing database schemas, optimizing indexes, planning table structures, and handling data relationships to ensure efficient database performance.

Provides tools for creating, editing, and analyzing Excel spreadsheets with data operations, formulas, and financial modeling capabilities.

Converts documents (PPTX, PDF, DOCX, XLSX, images) to structured formats like Markdown, JSON, and HTML using IBM Docling.

Automates AI agent creation, including role definition, system prompts, tool integration, and workflow orchestration for conversational, task-oriented, and multi-agent systems.

Tracks athletic activities and analyzes performance data, providing workout history and performance metrics via Strava.

Retrieves time-series data from AVEVA PI System historian via PI Web API, supporting current values, historical queries, and Asset Framework navigation.

Manages financial account connections, checks status, and handles data links through Plaid's API for secure financial data access.

Monitors menstrual cycles, symptoms, and patterns to provide health insights through data tracking.

Introspects Salesforce databases using SOQL to analyze schema structure, relationships, and generate class diagrams for data modeling.

Extracts and structures personal context from AI chat transcripts into themed markdown files for personalized AI assistants.

Provides expert knowledge on LangGraph patterns, node-based workflows, and state management for AI agent architecture in coding projects.

Enables integration with Google AI Studio for prompt testing, model exploration, and AI application prototyping.

AI-powered tool for transcribing meetings and generating concise, structured notes from audio recordings.

AI-powered search engine providing multiple search modes and personalized results for efficient information retrieval.

Calculates the SkillUsabilityScore (U.Metric) for Zero-Shot Enactment, measuring AI skill effectiveness in deployment contexts.

Generates professional technical reports from performance analysis data, including executive summaries, visualizations, and actionable recommendations for investors and clients.

Validates data values against FPF CSLC (Characteristic/Scale/Level/Coordinate) definitions for standardized data consistency.

Specialized guide for implementing Fullstory analytics in e-commerce, covering conversion funnels, cart abandonment, and PCI-compliant checkout tracking with real-world examples.

Validates AI prompts and Agent Skills for clarity, constraints, robustness, and operational fit, providing a numeric quality score.

Accesses commercial real estate data via CoStar's professional platform for market insights and investment analysis.

Provides a framework for strategically decorating Fullstory data with properties (page, element, user, events) to ensure optimal searchability, avoid duplication, and maintain consistency.

Executes AI-powered code generation and manipulation using multiple backends (Codex, Claude, Gemini) with file references and structured output.