Python Guide
CheckedGenerates Python code snippets and explains them, assisting developers in solving backend programming challenges quickly.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add ar4mirez/samuel --skill python-guide -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
ar4mirez
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.
Automated safety checks
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 ar4mirez/samuel at 571d3d1834.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 571d3d1834
- Scanned
- 4 files, 924 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill allows AI agents to execute Python code snippets. It can be used to perform calculations, manipulate data, and interact with external APIs through Python libraries. The agent will receive the input as a string of python code and return the output of that code execution.
When to use it
- Data Transformation: When you need an AI agent to clean, transform, or analyze structured data (e.g., CSV files).
- Simple Calculations: For performing mathematical operations or unit conversions that are beyond basic arithmetic.
- API Interaction: To fetch and process data from web APIs using Python's
requestslibrary (or similar). - Code Generation/Evaluation: When you need to generate, test, or evaluate small code snippets.
Key capabilities
- Executes Python code.
- Returns the output of the executed code.
- Supports basic data manipulation.
- Can interact with external APIs (with appropriate libraries).
Example prompts
- "Calculate the factorial of 10."
- "Fetch the current weather in London using a suitable API and return the temperature."
- "Convert this CSV string to JSON: 'Name,Age\nAlice,30\nBob,25'"
Tips & gotchas
- The skill's effectiveness depends on the agent’s ability to construct valid Python code. Complex tasks may require breaking them down into smaller steps.
- Be mindful of potential security risks when executing arbitrary code; ensure appropriate sandboxing and input validation are in place.