3. Data, Science & AI

Converts Product Requirement Documents (PRDs) into prd.json format for the Ralph autonomous agent system and initializes project structure.

Manages context networks for AI agents, ensuring effective operation through organized documentation and lifecycle management.

Extracts descriptive musical characteristics without artist names, building a sonic vocabulary for AI music generation and description.

Enables creation of AI agents, tools, and workflows using Mastra v1 Beta and Hono servers with TypeScript and LLM capabilities.

Provides pre-built patterns for Anthropic SDK integration with Teams.ai framework, covering memory API, function calling, and streaming message handling.

Automates PCR thermal cycling with independent block and lid temperature control for high-throughput molecular biology workflows.

Expert guidance for using pycalphad, a computational thermodynamics library implementing CALPHAD for phase diagram and thermodynamic property calculations in materials systems.

Expert guidance for implementing multiobjective optimization in Python using evolutionary algorithms and libraries like pymoo and DEAP.

Queries crystal structures, properties, and thermodynamic data from materials science databases including AFLOW and Materials Project.

Expert assistant for remote experiments with spectral sensor instrument, enabling statistical analysis, regression, and optimization for experimental design.

Provides precise temperature control (4-95°C) for laboratory protocols including sample storage and enzyme reactions using Opentrons Temperature Module with labware adapters.

Provides temperature control (37-95°C) and orbital mixing (200-3000 rpm) for cell culture, enzymatic reactions, and sample preparation.

Module for Opentrons Flex robot enabling on-deck microplate spectrophotometry with multi-wavelength readings and CSV data export for scientific assays.

Expert guidance for Meta's FAIRChem library, using pretrained UMA models and ASE integration to accelerate materials science and quantum chemistry ML predictions.

Provides scientific computing utilities for regression analysis with confidence intervals, ODE solving, and model fitting, wrapped around SciPy for streamlined data science workflows.

Generates lifelike text-to-speech, sound effects, and music using AI. Supports 32 languages and 100+ voices for creative applications.

Expert guidance for Design of Experiments (DOE) in Python, covering classical methods and Bayesian optimization for data-driven experimental design.

Provides expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD.

Enables unpowered magnetic bead separation for DNA/RNA purification and immunoprecipitation using Opentrons Flex lab automation hardware.

Expert assistant for generating VASP input files, parameter selection, and workflow setup for accurate Density Functional Theory (DFT) calculations in materials science.

Provides expert guidance for implementing mathematical optimization problems in Python using libraries like SciPy, Pyomo, and CVXPY for LP, QP, NLP, MIP, and convex problems.

Comprehensive Python visualization toolkit for creating static, statistical, and interactive plots with matplotlib, seaborn, and plotly.

Expert assistance for atomistic simulations using ASE, including structure building, optimization, and analysis.

Assists in selecting and implementing scientific workflow tools, from simple caching to complex orchestration, recommending the simplest solution for scientific computing tasks.