3. Data, Science & AI

Extracts structured trademark certificate data from PDF/image using OCR and LLM, outputting to Excel with embedded images.

Automates Chronicle session summarization by exporting remote system data and processing with Gemini API on a local machine.

Generates ASCII previews of PDF page layouts using AI, converting visual data into structured text for HTML integration.

Interactive setup for AI-assisted development that configures context (tech stack, compliance, security) and guides first feature generation via LLM.

Merges individual HTML pages into a unified chapter document using AI for semantic consistency and enhanced reading experience.

Updates Ohme Historical Sites Dashboard with CSV data modifications, country additions, year changes, and site count adjustments.

Delivers project-agnostic guidance for AI assistants using Chronicle, including search-first directives and workflow patterns across all tracked projects.

Automates data pipeline orchestration for ETL, transformations, and quality checks, ensuring 95% data quality compliance.

Manages context preservation in AI conversations through session summarization, context compaction, and window management to prevent information loss.

Expert guidance for implementing Vercel AI SDK v5, including streaming, model integration, and production patterns in AI applications.

Handles multi-format data analysis with security-first workflow, including EDA, quality checks, and visualization using Python.

Command-line tool for visualizing and processing GROMACS simulation output files (xvg/xpm), including data analysis and MD workflow utilities.

Manages DeFi registry data including tokens, chains, networks, and DEXes. Handles additions and updates for new or existing entities.

Processes audio and video content by transcribing, analyzing, and summarizing using AI models (Whisper for audio, Gemini for video).

Automates ML model evaluation by analyzing confusion matrices, PR curves, and comparing MLflow histories to deliver objective, data-driven recommendations.

Runs a multi-LLM review chain (Ollama, Claude, Grok, Gemini) to generate documentation, requiring human approval before proceeding.

Provides documentation for MLflow's core features including experiment tracking, model management, and model registry for AI/ML development.

Generates voice replies from text using OpenAI's TTS API and delivers audio responses for communication.

Provides statistical process control (SPC) charting, process capability analysis, and control chart interpretation for manufacturing quality assurance.

Provides force field and water model recommendations for molecular dynamics simulations across biomolecular systems like proteins and lipids.

Provides Data Version Control (DVC) commands and patterns for versioning large data files, building data pipelines, and ensuring experiment reproducibility in machine learning workflows.

Generates standardized agent skills for AI systems using Antigravity/Gemini frameworks, enforcing YAML configuration and folder structure best practices.

Retrieves and summarizes current weather conditions for any city using a weather API.

Summarizes critical state context to preserve essential data before compaction operations.