3. Data, Science & AI

JAX-accelerated supernova bandflux calculation tool for light curve modeling with SALT3 and custom SED models, including installation and synthetic data generation.

Accesses NASA Astrophysics Data System (ADS) to search astronomy literature, retrieve papers by bibcode, and obtain citation counts and BibTeX metadata.

Retrieves experimental data tables, digitized plots, and cross-section measurements from HEPData, a repository of high-energy physics publication data.

Provides access to gravitational wave event data from LIGO and Virgo detectors, including event parameters and strain data downloads.

Guide for developing Claude skills that extend capabilities with fundamental physics research knowledge, specialized workflows, and scientific tool integrations.

Provides scientific guidance for analyzing astronomical data, processing FITS files, and performing astrophysical calculations including redshift and light curve analysis.

Provides access to INSPIRE database for searching high-energy physics literature, including paper retrieval, citation counts, and BibTeX exports.

Applies TDD methodology and research-backed practices to craft and refine LLM prompts, ensuring effectiveness through testing and iteration.

Creates JSON snapshots for agent trace visualization in the MAID inspection panel, enabling structured inspection of agent interactions and state.

Generates JSON snapshots for agent trace visualization and MAID inspection panel, enabling detailed agent behavior analysis.

Generates scalable healthcare data through conversational specification, enabling efficient data synthesis for testing and analysis.

Provides network intelligence using NPPES data for provider/facility search, NPI validation, and network adequacy assessment against CMS/NCQA standards.

Generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review.

Generates realistic synthetic healthcare claims and payer data for testing claims processing, payment integrity, and benefits administration systems.

Provides population-level health intelligence using public data sources for demographics, geographic health patterns, SDOH, and health equity analysis.

Generates synthetic healthcare data for testing EMR, claims, pharmacy, and analytics systems using FHIR and HL7v2 standards.

Generates realistic synthetic clinical trial data compliant with CDISC standards, including study definitions, sites, subjects, and adverse events for FDA submissions.

Generates realistic clinical patient data including demographics, diagnoses, medications, and HL7v2/FHIR resources for EMR testing and cohort simulation.

Enables interaction with LLMs by explaining available inference endpoints for model selection.

AI-powered knowledge management layer connecting conversations to a persistent knowledge tree for proactive recall, search, and organization during discussions.

Creates specialized Claude Code agents with YAML configuration, tool permissions, and domain expertise for AI task automation.

Validates Jupyter notebooks for production readiness by checking structure, smart links, cell transitions, and flow consistency.

Extracts text from images and scanned PDFs with multilingual support, table detection, and structured JSON/markdown output for data pipelines.

Extracts vendor, date, items, amounts, and total from receipt images via OCR and pattern matching, outputting structured JSON data.