3. Data, Science & AI

Orchestrates multiple LLMs as a collaborative council, using peer review and chairman synthesis to generate enhanced collective intelligence outputs.

Converts PDF documents to Markdown format using Mistral OCR API, extracting text and embedded images for structured content.

Generates 2D game assets, sprites, and textures from text descriptions using Replicate's nano-banana-pro AI model.

Converts 2D images to 3D GLB models using AI, enabling 3D asset creation for games and applications.

Searches Claude's persistent memory database to retrieve information from previous sessions, answering queries about past interactions.

Extracts text from scanned Brazilian legal PDFs using AI-optimized OCR for high accuracy and legal terminology support.

Generates realistic test data for Supabase databases using Snaplet, ensuring reproducible environments for schema changes, feature development, and edge case testing.

Generates and edits images using the Gemini AI model, supporting text-to-image, style transfers, and multi-reference composition for creative design tasks.

Enables command-line interaction with Google Gemini AI model for prompt delegation and response generation.

Provides strategies for context window management, token optimization, and summarization in long AI conversations.

Provides natural language explanations of chess positions using engine-powered analysis, including best moves, variations, and strategic themes from FEN inputs.

Orchestrates AI agent workflows via Model Context Protocol (MCP) with n8n, enabling bidirectional integration, multi-agent systems, and production AI automation pipelines.

Transforms complex datasets into intuitive, visually compelling dashboards and charts using modern visualization libraries.

Provides custom knowledge packages, curated playbooks, and versioned expertise domains for AI agents on the Claude Developer Platform.

Fetches historical A-share and ETF market data including OHLCV values via stock code and time range parameters.

Analyzes content marketing metrics from CSV data to identify top-performing content, trends, and optimization opportunities for blogs and campaigns.

Calculates stock technical indicators (MA, MACD, RSI) for analysis and backtesting, returning results in a DataFrame.

Handles spreadsheet creation, editing, and data analysis with formula support, formatting, and visualization for .xlsx, .csv, and other formats.

Generates professional financial charts including K-line and technical indicators for data visualization, analysis, and reporting with customizable themes.

Extracts specific HTML elements and content from web pages, including JavaScript-rendered content, for data processing and scraping tasks.

Converts neurophysiology data to NWB format with automatic format detection and intelligent error handling.

Extracts and structures entities (dealers, artifacts, locations) and relationships from documents on illegal antiquities trade for research analysis.

AI-powered knowledge base search enabling natural language queries to quickly find patterns, bug fixes, and solutions with typo tolerance and relevance ranking.

Guides efficient code execution for parallel data processing, conditional filtering, and aggregation across multiple files and sources, reducing token consumption.