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Aws Lambda Python Integration

Checked
giuseppe-trisciuoglio·vlatest·cloud·MIT

Helps with AWS, Python, integration as part of deploying and managing cloud infrastructure workflows.

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 giuseppe-trisciuoglio/developer-kit --skill aws-lambda-python-integration -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

giuseppe-trisciuoglio

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 giuseppe-trisciuoglio/developer-kit-claude-code at fe73fb33a0.

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

Commit
fe73fb33a0
Manifest
plugins/developer-kit-python/skills/aws-lambda-python-integration/SKILL.md
Scanned
5 files, 2,831 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.
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About this skill

What it does

This skill enables AI agents to integrate with AWS Lambda functions written in Python. It allows the agent to execute these functions, passing data as input and receiving results for further processing. This facilitates automation of tasks and interaction with serverless applications hosted on AWS.

When to use it

  • Automating backend processes: Trigger a Lambda function to process data or perform actions based on an AI agent's decision.
  • Integrating with existing AWS infrastructure: Connect the AI agent to pre-existing Python-based Lambda functions for tasks like image resizing, data transformation, or API calls.
  • Building serverless workflows: Orchestrate multiple Lambda functions through the AI agent to create complex automated processes.
  • Retrieving information from AWS services: Use a Lambda function to query and retrieve data from other AWS services (e.g., S3, DynamoDB) based on the agent's request.

Key capabilities

  • Python Lambda Function Execution
  • Data Input/Output Handling
  • AWS Integration
  • Serverless Workflow Automation

Example prompts

  • "Execute the 'image_resize' Lambda function with width 200 and height 150."
  • "Run the 'process_data' Lambda function and return its output."
  • "Trigger the 'send_email' Lambda function with subject 'Report' and body 'Daily summary'."

Tips & gotchas

  • Ensure the AI agent has appropriate AWS credentials configured to execute Lambda functions.
  • Lambda function code must be written in Python and deployed on AWS for this skill to work.