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Not found in its repository. We could not find this skill in its repository when we last checked (9c8afb7, 1 Nov 2026). It is left out of listings and search until a later check finds it again.

Python Backend

Listed
anton-abyzov·vlatest·backend·MIT

Helps with Python, backend development as part of developing backend services and APIs workflows.

Install on your platform

This skill no longer installs under the name python-backend. anton-abyzov/specweave has no skill named "python-backend" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-11-01. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

anton-abyzov

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 27 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as anton-abyzov/specweave.
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 execute Python backend code. It allows agents to run server-side logic, interact with databases, and perform complex computations beyond what's possible within a simple prompt context. The agent can leverage existing Python libraries and frameworks for various tasks.

When to use it

  • Data Processing: When an AI needs to clean, transform, or analyze large datasets that exceed the input token limit.
  • API Integration: To interact with external APIs requiring authentication or complex request structures.
  • Database Operations: For retrieving and updating information stored in databases like PostgreSQL or MySQL.
  • Automated Tasks: To automate repetitive backend processes, such as generating reports or sending emails.

Key capabilities

  • Python code execution
  • Access to Python libraries
  • Database interaction (implementation details not specified)
  • API integration (implementation details not specified)

Example prompts

  • "Write a Python script to fetch the latest stock prices from an API and store them in a database."
  • "Generate a CSV report of all users registered within the last month, using this SQL query: [SQL Query]"
  • “Create a simple Flask API endpoint that returns 'Hello World'.”

Tips & gotchas

The agent requires access to a Python environment with necessary libraries installed. Ensure the environment is properly configured and any dependencies are available for successful execution of backend code.