3. Data, Science & AI

Comprehensive tool for creating data visualizations including chart selection, layout algorithms, and library guidance for dashboards and graphs.

Queries Taiga API for job results, passrates, transcripts, and run evaluations. Enables users to check or submit jobs on the platform.

Integrates Google Custom Search API to enable AI chatbots and applications to fetch real-time web information for data augmentation and current context retrieval.

Extracts structured candidate details (Name, Gender, Nationality, URR status) from PDF resumes using document processing techniques.

Enables AI chat, research, image/video generation, and analysis using Google Gemini's multimodal capabilities.

Performs statistical validation for A/B and ABX audio tests, ensuring randomization and significance calculations for experimental design.

Manages code graph operations for RAG systems using MCP JSON-RPC, enabling indexing, querying, and updating of code references for AI agents.

Provides guidance on implementing and utilizing AI decision agents for complex judgment scenarios in technical workflows.

Compares current and prior Strava weekly metrics to assess injury and fatigue risk using historical fitness data.

Traces cryptocurrency wallet activity and blockchain transactions for data analysis and transparency.

Teaches Claude to leverage a shared memory system for persistent cross-session and cross-team knowledge retention in agent workflows.

Geolocates IP addresses and analyzes network information for technical and security use cases.

Adds, reviews, or updates GA4 event tracking on HTML sites using data attributes and a JavaScript tracker for gtag/GTM integration.

Creates interactive energy sector dashboards with project timelines, cost breakdowns, and geospatial maps for investment decision support.

Runs long AI queries via Oracle CLI for code reviews, summarization, and analysis, designed for tmux sessions.

Builds conversational AI agents with external tool access via OpenAI Agents SDK and Model Context Protocol (MCP) for multi-provider backend integration.

Optimizes AI prompt strategies for code generation across multiple models including Claude, GPT, and Gemini, enhancing output quality and effectiveness.

Generates personalized weekly training plans by analyzing Strava data to balance workload and injury risk.

Generates and refines images from text prompts using Google Gemini AI models.

Provides advanced text processing capabilities including sentiment analysis and concise summarization for natural language data.

Searches Wikidata for items, properties, and external identifiers, providing entity details and authority control IDs for structured knowledge base queries.

Generates visual reports tracking shipped code changes in GitHub by analyzing merged pull requests and closed issues over specified time periods.

Guides building AI applications using Vercel AI SDK, covering core APIs, UI components, and advanced features like tool calling.

Provides efficient BigQuery queries for Mozilla telemetry data analysis, including DAU/MAU, user counts, and search metrics.