mirror of
https://github.com/aws/agent-toolkit-for-aws.git
synced 2026-09-14 14:30:26 +08:00
a670147568
Adds the amazon-opensearch-service skill to the aws-data-analytics plugin as a copied skill, matching the format of the plugin's other seven skills. Covers migration (Solr/Elasticsearch), provisioning, vector/semantic/hybrid search, and log + trace analytics. - Copies the skill from skills/specialized-skills/analytics-skills/ amazon-opensearch-service into the plugin (real files, no symlinks) - Expands description and keywords across the Claude, Cursor, and Codex manifests; adds an OpenSearch defaultPrompt to the Codex manifest - Bumps aws-data-analytics to v1.1.0 - Updates the plugin README Signed-off-by: Andre Kurait <andrekurait@gmail.com> Co-authored-by: Roman Shevchuk <51510790+rshevchuk-git@users.noreply.github.com>
75 lines
2.9 KiB
JSON
75 lines
2.9 KiB
JSON
{
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"name": "aws-data-analytics",
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"version": "1.1.0",
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"description": "Data lake, analytics, search, and ETL workflows with S3 Tables, AWS Glue, Athena, and Amazon OpenSearch Service. 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, and Amazon OpenSearch Service and Serverless (migration from Solr/Elasticsearch, provisioning, vector/semantic/hybrid search, log analytics, trace analytics).",
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"author": {
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"name": "Amazon Web Services",
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"url": "https://github.com/aws/agent-toolkit-for-aws"
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},
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"homepage": "https://aws.amazon.com/products/developer-tools/agent-toolkit-for-aws/",
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"repository": "https://github.com/aws/agent-toolkit-for-aws",
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"license": "Apache-2.0",
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"keywords": [
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"aws",
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"amazon",
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"amazon-web-services",
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"iam",
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"analytics",
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"data-lake",
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"lakehouse",
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"athena",
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"glue",
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"aws-glue",
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"data-catalog",
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"s3",
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"s3-tables",
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"s3-vectors",
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"iceberg",
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"apache-iceberg",
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"etl",
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"redshift",
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"snowflake",
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"bigquery",
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"rds",
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"dynamodb",
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"jdbc",
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"secrets-manager",
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"vector-search",
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"semantic-search",
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"rag",
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"embeddings",
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"vector-database",
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"aurora",
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"opensearch",
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"opensearch-serverless",
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"amazon-opensearch-service",
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"elasticsearch",
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"solr",
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"hybrid-search",
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"k-nn",
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"log-analytics",
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"trace-analytics"
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],
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"skills": "./skills/",
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"mcpServers": "./.mcp.json",
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"interface": {
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"displayName": "AWS Data Analytics",
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"shortDescription": "Data lake, analytics, search, and ETL with S3 Tables, AWS Glue, Athena, and OpenSearch",
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"longDescription": "Skills for building and operating data lakes, analytics, and search on AWS. Covers managed Iceberg table creation 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, and Amazon OpenSearch Service and Serverless (migration from Solr and Elasticsearch, provisioning, vector/semantic/hybrid search, log analytics, trace analytics).",
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"defaultPrompt": [
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"Create a data lake table backed by S3 Tables.",
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"Query the data lake with Athena.",
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"Plan a migration from self-managed Elasticsearch to Amazon OpenSearch Service."
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],
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"developerName": "Amazon Web Services",
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"category": "Cloud",
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"capabilities": [
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"Read",
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"Write"
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],
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"websiteURL": "https://github.com/aws/agent-toolkit-for-aws",
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"privacyPolicyURL": "https://aws.amazon.com/privacy/",
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"termsOfServiceURL": "https://aws.amazon.com/service-terms/",
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"brandColor": "#FF9900"
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}
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} |