Individual skill
amazon-dynamodb
Designs, reviews, and debugs DynamoDB data layers from design axioms — enumerates access patterns, chooses partition/sort keys and GSIs, decides single-table vs. multi-table, configures Streams, Global Tables, TTL, vector indexes for similarity search, and zero-ETL integrations to OpenSearch/Redshift/SageMaker Lakehouse, and produces a defensible data-layer design with a monthly cost estimate and optional live validation. Applies whenever a user is designing, reviewing, or refactoring anything backed by DynamoDB — schemas, access patterns, GSIs, single- vs. multi-table choices, Streams consumers, transactional outboxes, Global Tables, zero-ETL pipelines, or storing embeddings and running semantic/vector similarity search with SearchVectors on items already in DynamoDB — even when they don't say "axioms" or "design review." Also applies when debugging hot partitions, throttling, unbounded Scans, LWW conflicts, or surprise bills on DynamoDB workloads.
skills/specialized-skills/database-skills/amazon-dynamodb/SKILL.md
Source commit 1761e96813ebcbd43ed81d19e837219033f0afe5
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 3,426
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesSKILL.mdcore · 140,004 bytesreferences/cost-model-schema.mddoc · 24,847 bytesreferences/loop-state-schema.mddoc · 4,694 bytesreferences/performance-model-schema.mddoc · 17,591 bytesreferences/performance-report-format.mddoc · 20,211 bytesreferences/reference-architecture.mddoc · 55,832 bytesreferences/vector-search.mddoc · 26,468 bytesscripts/benchmark_lambda.pyruns · 80,211 bytesscripts/benchmark_model.pyruns · 47,293 bytesscripts/calculate_costs.pyruns · 87,094 bytesscripts/deploy_model.pyruns · 48,060 bytesscripts/find_skill_dir.shruns · 3,551 bytesscripts/generate_perf_report.pyruns · 78,343 bytesscripts/generate_teardown.pyruns · 11,271 bytesscripts/iterate_design.pyruns · 30,157 bytes
Read excerpt
# DynamoDB Axioms
This document is a set of design axioms for DynamoDB applications. It is intended to be read by an agent with no other context about the application and used to produce a defensible data-layer design.
## Guardrail — where this skill's own files live (MCP vs local install)
This skill can be loaded two ways, and they resolve the skill's own bundled
files from different places. Determine how the skill was loaded before reading
a reference or running a script:
- **Loaded through the AWS MCP `retrieve_skill` tool:** The skill is not
installed on the local filesystem. You MUST fetch each reference or script
via `retrieve_skill` with the `file` parameter (e.g.
`file="references/vector-search.md"` or `file="scripts/calculate_costs.py"`), and