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Amazon Web Services · Embeddings
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones. | huggingface/ | 11k | 1 repo | ~4.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 2 | 2.Bedrock AWS Bedrock foundation models for generative AI. An agent skill from itsmostafa/aws-agent-skills. | itsmostafa/ | 1.2k | — | ~4.9k | Automated safety check: Pass | MIT | 5 days ago |
| 3 | Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). | aws/ | 2.8k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Provides Amazon Bedrock patterns using AWS SDK for Java 2.x. | giuseppe-trisciuoglio/ | 357 | — | ~3.2k | Automated safety check: Notes | MIT | 1 mo ago |
| 5 | Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about storage services. | aws/ | 2.8k | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
