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Aws Dynamodb

Checked
alinaqi·vlatest·cloud·MIT

Provides AWS guidance and assistance for deploying and managing cloud infrastructure.

Repository

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 alinaqi/maggy --skill aws-dynamodb -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

alinaqi

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.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned alinaqi/claude-bootstrap at 72a456e6cc.

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

Commit
72a456e6cc
Manifest
skills/aws-dynamodb/SKILL.md
Scanned
1 file, 628 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

The aws-dynamodb skill enables AI agents to interact directly with Amazon DynamoDB, a fully managed NoSQL database service. It allows agents to perform read and write operations on tables, manage items, and execute queries without manual API intervention.

When to use it

  • Automating the ingestion of user data into a scalable NoSQL store during application deployment.
  • Retrieving specific configuration settings or session data stored in DynamoDB for real-time decision making.
  • Updating inventory counts or transaction logs programmatically within a high-throughput workflow.
  • Querying time-series data to generate reports or trigger alerts based on database thresholds.

Key capabilities

  • Execute PutItem, GetItem, UpdateItem, and DeleteItem operations.
  • Perform complex queries using key conditions and filters.
  • Manage table structures and schema definitions.
  • Handle batch operations for efficient data processing.

Example prompts

  • "Create a new DynamoDB table named 'UserSessions' with a partition key of 'userId'."
  • "Retrieve the latest transaction record for customer ID 12345 from the 'Transactions' table."
  • "Update the stock quantity for item SKU-998 in the 'Inventory' table by decrementing it by one."

Tips & gotchas

Ensure your AI agent has valid AWS credentials with appropriate IAM permissions attached to access DynamoDB resources. Be mindful of rate limits and throughput capacity when designing prompts that involve high-volume batch operations.