3. Data, Science & AI

Creates production-ready AI skills by extracting domain expertise and ontologies, ensuring deterministic operation through progressive knowledge loading.

Retrieves BSV address information including balance, UTXOs, and transaction history using the WhatsOnChain API.

Pre-checks before invoking Oracle to optimize usage of the expensive reasoning resource, reducing cost and improving efficiency.

Assists in writing efficient SQL queries, optimizing database performance, and conducting data analysis tasks.

Generates LLM skills by analyzing documentation, codebases, and GitHub repositories to enhance AI model capabilities.

Crafts expert prompts for Suno AI to generate cinematic, transformative music with emotional resonance for meditation, Vibe OS, and professional audio applications.

CLI tool capturing agent trajectories (tools, thoughts, plans) from headless agents, outputting structured JSONL for evaluation scoring.

Decodes foundational data structures (signals) used for candidate retrieval and as features in the Heavy Ranker of a recommendation engine.

Reasons about ML models governing the 'For You' timeline, including feature engineering, engagement weight tuning, and Heavy Ranker (Navi) mechanics.

Engineers the top-of-funnel retrieval system that filters 500M daily tweets down to 1,500 candidates for ranking.

Provides MPN encoding and value decoding for Cyntec power inductors, including handler guidance for component identification.

Compares transistor part numbers (MPNs) and characteristics (NPN/PNP, polarity) to identify equivalent models and similarity in BJT circuits.

Provides encoding and decoding utilities for Analog Devices component part numbers (MPNs) and guidance for AnalogDevicesHandler usage.

Processes integrated circuit data, parsing MPNs and extracting specifications like voltage and package type.

Handles discrete semiconductor component data: parsing MPNs, extracting voltage/current ratings, and managing package codes.

Performs similarity calculations for LED products, comparing MPNs, color bins, brightness, and families to determine product similarity.

Manages MCP servers to discover, execute, and filter AI tools and resources programmatically.

Retrieves BSV blockchain block details including height, hash, and header information upon user query.

Calculates similarity between sensor data (temperature, accelerometer, humidity) and MPNs to identify equivalent parts and understand sensor families.

Provides decoding and encoding guidance for Qualcomm part numbers (MPNs) used in mobile SoCs, RF front-ends, and communication ICs.

Extracts inductance, current ratings, and package codes from inductor part numbers for engineering data processing.

Decodes Sensirion sensor model numbers (MPN) and suffixes for seamless integration of environmental sensors including humidity, temperature, gas, and CO2 sensors.

Processes connector component data including parsing MPNs and extracting pin count, pitch, and series information.

Extracts resistance, tolerance, and package details from resistor part numbers for efficient component identification and design.