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Dynamodb Table Design

Checked
juancarestre·vlatest·database

Designs efficient DynamoDB tables, optimizing for access patterns, cost, and scalability based on provided data models.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add juancarestre/dynamodb-skills --skill dynamodb-table-design -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

juancarestre

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned juancarestre/dynamodb-skills at c8b3ec2a94.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
4 files, 476 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill assists in designing effective DynamoDB tables. It helps determine optimal key structures (partition and sort keys) to ensure efficient querying and scalability. The skill can also advise on data modeling strategies for various use cases, considering access patterns and performance requirements.

When to use it

  • New application development: When starting a new project that requires persistent storage using DynamoDB.
  • Performance bottlenecks: If existing DynamoDB queries are slow or inefficient.
  • Data model refactoring: When needing to optimize an existing DynamoDB table for improved performance and cost-effectiveness.
  • Complex data relationships: When dealing with scenarios requiring careful consideration of how data is related and accessed.

Key capabilities

  • Partition key selection guidance
  • Sort key optimization suggestions
  • Data modeling advice based on access patterns
  • Scalability considerations for DynamoDB tables

Example prompts

  • "I'm building an e-commerce application; suggest a good partition/sort key structure for storing product data."
  • "My DynamoDB table is experiencing slow query times. Can you analyze my access patterns and recommend improvements?"
  • “How should I model users and their associated orders in DynamoDB?”

Tips & gotchas

The quality of the recommendations depends on providing clear information about your intended use case, data structure, and expected query patterns. Be prepared to describe how your application will interact with the DynamoDB table.