Skip to content
TrustedSkillsbeta
Back to all skills

Flask Api Development

Checked
aj-geddes·vlatest·backend·MIT

Provides API guidance and assistance for agent 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 aj-geddes/useful-ai-prompts --skill flask-api-development -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/flask-api-development/SKILL.md
Scanned
9 files, 515 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 enables AI agents to build, deploy, and maintain RESTful APIs using the Flask web framework. It automates the creation of server-side endpoints, handles request routing, and manages API responses for backend services.

When to use it

  • You need a lightweight Python backend to expose data or logic via HTTP requests.
  • You are prototyping an application that requires rapid iteration on API endpoints.
  • Your project needs to integrate with frontend applications or third-party services through standard REST conventions.
  • You want to automate the setup of database connections and authentication middleware within a Flask environment.

Key capabilities

  • Generates Flask application skeletons with predefined routes and blueprints.
  • Configures HTTP methods (GET, POST, PUT, DELETE) for specific resource endpoints.
  • Integrates common extensions like SQLAlchemy for database management and JWT for security.
  • Produces code ready for deployment on platforms like Heroku or AWS Elastic Beanstalk.

Example prompts

  • "Create a Flask API endpoint that accepts user registration data and stores it in a PostgreSQL database."
  • "Generate a Python script using Flask to handle file uploads and return JSON metadata about the uploaded files."
  • "Build a secure REST API with Flask that requires JWT authentication for accessing protected admin routes."

Tips & gotchas

Ensure your AI agent has access to the latest Flask documentation or installed packages, as framework versions evolve rapidly. Always verify that generated code includes proper error handling and input validation to prevent runtime failures in production environments.