writing-python

writing-python is a skill for Claude Code from julianobarbosa/claude-code-skills. It costs 46 tokens per session (929 once invoked), scanned A, original, MIT.

A guide to writing modern Python programs, including scripts, command-line tools, and services.

In plain words
What is it for?
It helps write Python functions, data classes, pattern-matching code, and projects using tools such as uv, Ruff, pytest, and mypy.
Why use it?
It provides consistent practices for typing, error handling, dependencies, formatting, and testing Python code.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit It helps write Python functions, data classes, pattern-matching code, and projects using tools such as uv, Ruff, pytest, and mypy.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/julianobarbosa/claude-code-skills/writing-python
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add julianobarbosa/claude-code-skills --skill writing-python
Clone the repo
git clone --depth 1 https://github.com/julianobarbosa/claude-code-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for writing-python

README.md
[![agentmods](https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/writing-python/github.svg)](https://agentmods.dev/skills/julianobarbosa/claude-code-skills/writing-python)
Your own site
<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/writing-python"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/writing-python/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for writing-python

Your own site · 80×15
<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/writing-python"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/writing-python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 929 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00929
Opus 5 $0.00023 $0.00464
Sonnet 5 $0.00009 $0.00186
Haiku 4.5 $0.00005 $0.00093

Measured 8d ago against content hash b1e1e1276b98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

writing-python scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/writing-python/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Development (3.14+)

Core Principles

  • Stdlib first: External deps only when justified
  • Type hints everywhere: All functions, all parameters
  • Explicit over implicit: Clear is better than clever
  • Fail fast: Raise early with informative errors

Toolchain

uv           # Package management (not pip/poetry)
ruff         # Lint + format (not flake8/black)
pytest       # Testing
mypy         # Type checking

Quick Patterns

Type Hints

def process_users(users: list[User], limit: int | None = None) -> list[Result]:
    ...

async def fetch_data(url: str, timeout: float = 30.0) -> dict[str, Any]:
    ...

Dataclasses

from dataclasses import dataclass, field

@dataclass
class Config:
    host: str
    port: int = 8080
    tags: list[str] = field(default_factory=list)

Pattern Matching

match event:
    case {"type": "click", "x": x, "y": y}:
        handle_click(x, y)
    case {"type": "key", "code": code}:
        handle_key(code)
    case _:
        raise ValueError(f"Unknown event: {event}")

Python 3.14 Features

  • Deferred annotations: No more from __future__ import annotations
  • Template strings (t""): t"Hello {name}" returns Template object
  • except without parens: except ValueError, TypeError:
  • concurrent.interpreters: True parallelism via subinterpreters
  • compression.zstd: Zstandard in stdlib
  • Free-threaded build: No GIL (opt-in)

References

Tooling

uv sync                    # Install deps
ruff check --fix .         # Lint and autofix
ruff format .              # Format
pytest -v                  # Test
mypy .                     # Type check

Absorbed sub-skills (post-consolidation)

This skill now subsumes the former python-code-style and python-type-safety skills. Their original SKILL.md content is preserved as deep reference:

Read the full file on GitHub · 108 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 108 lines · 46 tokens per session scan A b1e1e1276b98

Subscribe to this mod's changes

writing-python is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 16d ago), licensed MIT. It adds 46 tokens to every session and 929 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

pennylane

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with…

K-Dense-AI/scientific-agent-skills · 98 tokens

dd-code-generation

Use pup CLI for immediate Datadog operations or generate code for integration into applications.

DataDog/pup · 16 tokens

rocm-kernels

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…

huggingface/kernels · 93 tokens

holoscan-install-wheel

Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.

NVIDIA/skills · 37 tokens

typing-exclusion-worker

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

getsentry/skills · 57 tokens