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Data & AI

Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools.

Data & AI

Executes multi-stage research workflows from discovery to archival, with citation validation and synthesis report generation.

Data & AI

Learn to use the inference.sh CLI to run 150+ AI apps: image generation, videos, LLMs, web search, and Twitter automation.

Data & AI

Queries KingbaseES databases in read-only mode using validated SQL and psycopg2 or ksycopg2. Supports SELECT, SHOW, and custom SQL; blocks writes.

Data & AI

Execute Exa secondary workflow: Core Workflow B. Use when implementing secondary use case or complementing primary workflow.

Data & AI

Build production ML systems with PyTorch, TensorFlow, model serving, feature engineering, A/B testing, and monitoring.

Data & AI

Research computing toolkit for optoelectronic information science and engineering.

Data & AI

End-to-end workflow for detecting structural variants from long-read sequencing data. Covers ONT/PacBio alignment with minimap2 and SV calling with Sniffles or cuteSV. Use when detecting structural variants from long reads.

Data & AI

Start, query, and stop a network-specific TAO inference microservice by delegating container execution to the appropriate platform skill.

Data & AI

Classifies genetic variants according to ACMG guidelines using a rules-based engine.

Data & AI

Persistent memory system for AI agents with MCP tools for session management and recall. Supports local markdown and optional Supabase vector search.

Data & AI

Parses URLs from CSV files, extracts query parameters, and adds them as new columns. Useful when analyzing URL data in spreadsheets, such as web analytics or tracking links.