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Python

Checked
mindrally·vlatest·backend·Apache-2.0

Automates Python backend tasks like data processing, API calls, and scripting via intelligent code execution.

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 mindrally/skills --skill python -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
python/SKILL.md
Scanned
1 file, 66 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 an AI agent to perform a wide range of Python backend tasks, including data processing, API interactions, and scripting. It leverages best practices in Python development across domains like web development, data science, automation, and machine learning. The skill emphasizes clean code style (PEP 8 compliance), efficient performance (async/await, vectorized operations), and robust error handling.

When to use it

  • Automating repetitive backend tasks using Python scripts.
  • Analyzing datasets with tools like pandas, matplotlib, and seaborn.
  • Building web applications using frameworks such as Django, FastAPI, or Flask.
  • Implementing API integrations and data processing pipelines.
  • Generating concise and well-documented Python code snippets for specific problems.

Key capabilities

  • Python Development Expertise: Proficiency in various domains including web development, data science, automation, and machine learning.
  • Code Style Adherence: Enforces PEP 8 compliance, descriptive variable names, and modular design.
  • Data Analysis Tools: Utilizes pandas, matplotlib, seaborn, and NumPy for data manipulation and visualization.
  • Web Framework Support: Provides expertise in Django (CBVs, ORM optimization), FastAPI (RORO pattern, Pydantic v2), and Flask (Blueprints, application factories).
  • Error Handling Best Practices: Implements early returns, guard clauses, and proper error logging.
  • Performance Optimization: Leverages async/await, caching, lazy loading, and profiling techniques.

Example prompts

  • "Write a Python script to extract data from this API endpoint and save it to a CSV file."
  • "Generate a Django class-based view for displaying product details."
  • "Create a FastAPI endpoint that validates user input using Pydantic v2."
  • “Analyze this dataset using pandas and matplotlib, and generate a visualization showing the distribution of values.”

Tips & gotchas

  • The skill prioritizes code quality and efficiency; expect well-structured and performant Python code.
  • Type hints are mandatory, so providing clear input types can improve results.
  • While it supports multiple web frameworks, specifying which framework to use will yield more targeted code.