Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Performs fast and sensitive 3D protein structure similarity searches across global databases like PDB and AlphaFold DB.
Fetches, analyzes, and prepares protein structures from the RCSB Protein Data Bank for computational biology workflows.
Retrieves comprehensive protein sequences, functional annotations, and structural cross-references directly from the UniProt database.
Configures and troubleshoots the environment for running serverless protein design tools via Modal and biomodals.
Orchestrates complex protein binder design campaigns from high-level goal definition to high-throughput pipeline execution.
Evaluates and filters protein designs using research-backed metrics for binding, expression, and structural integrity.
Designs optimized protein sequences for binding sites and enzymes using Ligand-aware Message Passing Neural Networks.
Optimizes cell-free protein synthesis (CFPS) experiments through system selection, codon optimization, and troubleshooting guidance.
Provides expert guidance for Surface Plasmon Resonance (SPR) and Biolayer Interferometry (BLI) experimental design and troubleshooting.
Predicts biomolecular structures and protein-ligand complexes using the open-source Boltz-1 and Boltz-2 models.
Audits Calibrated Explanations (CE) plugin implementations for compliance with metadata standards, ADR contracts, and mathematical protocols.
Audits Calibrated Explanations (CE) plugin implementations to ensure compliance with registry trust rules, metadata standards, and ADR requirements.
Builds standardized machine learning pipelines that integrate calibrated explanations for model interpretability and reliability.
Predicts multi-modal molecular structures including protein complexes, ligands, and nucleic acids using the Chai-1 foundation model.
Audits and validates plugin implementations for the Calibrated Explanations framework to ensure compliance with architectural contracts and metadata standards.
Audits Calibrated Explanations (CE) plugin implementations to ensure compliance with architectural contracts and registry trust rules.
Audits Calibrated Explanations plugin implementations to ensure compliance with registry trust rules, metadata validity, and architectural contract standards.
Validates protein designs and predicts complex structures using AlphaFold2 to ensure structural integrity and binding accuracy.
Generates high-precision all-atom protein structures and binders using advanced diffusion models for side-chain aware design.
Generates high-affinity protein binders using end-to-end AlphaFold2 hallucination and rigorous structural validation.
Designs optimized protein sequences from structural backbones using deep learning-based inverse folding.
Optimizes protein sequences for high-yield soluble expression in E. coli using specialized inverse-folding models.
Orchestrates end-to-end protein design pipelines from target preparation to validated structure selection.
Ranks and evaluates protein binder designs using the ipSAE scoring function to identify high-confidence protein-protein interactions.
Automates the discovery and implementation of autonomous AI agent patterns, including task decomposition, tool use, and memory management.
Builds high-performance, scalable data pipelines using the tf.data API to maximize GPU and TPU utilization.
Deploys, optimizes, and converts TensorFlow models for production environments including mobile, edge, and cloud.
Implements advanced retrieval-augmented generation systems for images, text, and hybrid document content using CLIP and Voyage AI.
Protects and maintains high-quality AI/ML test datasets through robust backup, restoration, and data integrity validation.
Provides a standardized boilerplate for building robust Agentic AI workflows with integrated tools, memory, and observability.
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