sagemaker-ai
claudeBuild, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
19 skills
Autonomous ML experimentation loops on Amazon SageMaker — Redshift data to a registered model that meets a success metric.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin sagemaker-auto-research in aws-samples/sample-sagemaker-autoresearch. Commands read from the repo's manifest — 19 days ago.
sagemaker-auto-researchUse when the user wants to run an autonomous ML experimentation loop on Amazon SageMaker — from Redshift data through feature engineering, training, MLflow tracking, and model registration — until a model meets a success metric (e.g. F1 >= 0.9). Triggers on "auto research", "run experiments until",
/sagemaker-auto-research:sm-researchSet up and launch a SageMaker auto-research run — interview for goal/data/criteria, scaffold research.yaml, then run the loop until a model meets the goal or a guardrail stops it.
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
19 skills
Observability plugin for Claude Code with MLflow tracing
ML experiment tracking and lifecycle including Weights & Biases, MLflow, and TensorBoard. Use when tracking experiments or managing models.
98 skills
Atlas skills for coding agents: database schema management with the Atlas CLI, guided onboarding of a project onto Atlas, the CI/CD steps of the Atlas actions, the Atlas Kubernetes Operator, and the specifics of each database: PostgreSQL, MySQL and MariaDB, SQL Server and Azure SQL, ClickHouse, Snowflake, Databricks, Databricks Lakebase, Redshift, Oracle Database, and Google Cloud Spanner.
14 skills
Data lake, analytics, search, streaming, ETL, and orchestration workflows with S3 Tables, AWS Glue, Athena, Amazon Redshift, Amazon OpenSearch Service, Amazon MSK, Amazon Managed Service for Apache Flink, Amazon MWAA, and Amazon SageMaker Catalog. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, vector storage and semantic search on Amazon S3 Vectors, Amazon OpenSearch Service and Serverless (migration from Solr/Elasticsearch, provisioning, vector/semantic/hybrid search, log analytics, trace analytics), Amazon MSK Provisioned with Standard and Express brokers (cluster sizing, performance and consumer lag troubleshooting, topic management, MSK Replicator for disaster recovery and active-active replication, and Streaming Tables delivery to S3 Tables), migrating self-managed Apache Kafka to MSK Express, Apache Flink application development on Amazon Managed Service for Apache Flink, and Amazon MWAA Provisioned and MWAA Serverless (authoring, testing, and debugging DAGs and workflows, and Airflow version upgrades for provisioned environments), and Amazon SageMaker Catalog and AWS Glue Data Catalog curation (business descriptions, glossaries, metadata forms, publishing, and safe asset retirement) with subscription-based access requests, approvals, audits, and revocations.
18 skills · 1 MCP server
5 live-detection Databricks skills — cost-leak-hunter, cluster-forensics, uc-migration-pilot, streaming-guardian, bundle-medic — backed by the databricks-workspace-mcp server (npm). The v2 rebuild: real workspace detection over static docs.
5 skills · 1 MCP server · hooks
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