Agent skill

Python Design Patterns

by wshobson in wshobson/agents

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance.

MITAuto-check passedDevelopment

Install Python Design Patterns

skills CLI
$ npx skills add wshobson/agents --skill python-design-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wshobson/agents python-design-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/python-development/skills/python-design-patterns .claude/skills/python-design-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
python-design-patterns
GitHub stars
40k
Token cost
~1.2k tokens
SKILL.md length
526 words
Files
2 (incl. references)
Skills in repo
142
Repo updated
First seen
Licence
MIT

At a glance

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance.

  • Works in 4 steps: KISS (Keep It Simple) → Single Responsibility (SRP) → Composition Over Inheritance → …
  • Designing a new service
  • SKILL.md covers When to Use This Skill, Core Concepts, Quick Start and Detailed patterns and worked…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Python Design Patterns is an agent skill from wshobson/agents. Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/details.md`).

It sits in Development, covering Design patterns and Refactoring. It works with Python. The repository describes itself as: Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi. The licence is MIT.

When your agent uses it

  • Designing a new service
  • Component from scratch and choosing how to layer responsibilities
  • Refactoring a God class
  • Monolithic function that has grown too large

Example prompts

  • “/python-design-patterns”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. KISS (Keep It Simple)
  2. Single Responsibility (SRP)
  3. Composition Over Inheritance
  4. Rule of Three

What it can do on your machine

Read from SKILL.md and the folder at commit 46891e7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Python Design Patterns loads about 1.2k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 168 tokens; SKILL.md has 526 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~168
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wshobson/agents at commit 46891e7, republished under its MIT licence (© wshobson). 526 words, ~1,181 tokens.

Download SKILL.mdSave it as .claude/skills/python-design-patterns/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
python-design-patterns
description
Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.

Python Design Patterns

Write maintainable Python code using fundamental design principles. These patterns help you build systems that are easy to understand, test, and modify.

When to Use This Skill

  • Designing new components or services
  • Refactoring complex or tangled code
  • Deciding whether to create an abstraction
  • Choosing between inheritance and composition
  • Evaluating code complexity and coupling
  • Planning modular architectures

Core Concepts

1. KISS (Keep It Simple)

Choose the simplest solution that works. Complexity must be justified by concrete requirements.

2. Single Responsibility (SRP)

Each unit should have one reason to change. Separate concerns into focused components.

3. Composition Over Inheritance

Build behavior by combining objects, not extending classes.

4. Rule of Three

Wait until you have three instances before abstracting. Duplication is often better than premature abstraction.

Quick Start

python
# Simple beats clever
# Instead of a factory/registry pattern:
FORMATTERS = {"json": JsonFormatter, "csv": CsvFormatter}

def get_formatter(name: str) -> Formatter:
    return FORMATTERS[name]()

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices Summary

  1. Keep it simple - Choose the simplest solution that works
  2. Single responsibility - Each unit has one reason to change
  3. Separate concerns - Distinct layers with clear purposes
  4. Compose, don't inherit - Combine objects for flexibility
  5. Rule of three - Wait before abstracting
  6. Keep functions small - 20-50 lines (varies by complexity), one purpose
  7. Inject dependencies - Constructor injection for testability
  8. Delete before abstracting - Remove dead code, then consider patterns
  9. Test each layer - Isolated tests for each concern
  10. Explicit over clever - Readable code beats elegant code
Show full SKILL.md (284 more words)Show less

Troubleshooting

A class is growing and seems to have multiple responsibilities, but splitting it feels wrong. Apply the "reason to change" test: list every change that could require editing this class. If the list has items from different domains (e.g., HTTP parsing AND business rules AND formatting), split it. If all changes stem from the same domain concern, the class may be appropriately sized.

Injecting all dependencies through the constructor is producing constructors with 7+ parameters. This is a sign of too many responsibilities in one class, not a problem with dependency injection. Split the class into smaller units first, then each constructor naturally becomes smaller.

Composition is producing deeply nested wrapper objects that are hard to trace. Keep the composition shallow (2-3 levels). If wrapping is the only mechanism, consider whether a Protocol-based approach or simple function composition would be cleaner than a chain of decorator objects.

The rule of three says not to abstract yet, but the duplication is causing bugs when one copy is updated but not the other. Duplication that diverges in dangerous ways should be abstracted sooner. The rule of three is a heuristic, not a law. If the copies are already diverging incorrectly, extract immediately and add a test that exercises the shared behavior.

A service layer is importing from the API layer, breaking the dependency direction. This is a layering violation. The service layer must not import from handlers. Introduce a shared types/models layer that both can import from, keeping the dependency arrow pointing downward (API → Service → Repository).

© wshobson, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/python-development/skills/python-design-patterns of wshobson/agents.

  • SKILL.md
  • references/details.md

Open the folder on GitHubat commit 46891e7

Compare with similar skills

Python Design Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Python Design Patterns compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Python Design Patterns this skillwshobson/agents40k—~1.2kAutomated safety check: PassMIT
Python Designmindfold-ai/Trellis15k—~4kAutomated safety check: PassAGPL-3.0
Py Rigmudrii/hermesd119—~6.3kAutomated safety check: PassMIT
Python Architecturemicrosoft/apm4k—~347Automated safety check: PassMIT
Python Design Patternsaiskillstore/marketplace4301 repos~3.1kAutomated safety check: PassNone
Swiftui View RefactorDimillian/Skills4k5 repos~2kAutomated safety check: PassMIT

Similar skills

  • Python Design

    mindfold-ai/Trellis

    Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags.

    15k GitHub stars~4k tokensUpdated 8 days ago
    DevelopmentAuto-check passed
  • Py Rig

    mudrii/hermesd

    A skill your agent uses when building, reviewing, or refactoring Python code that requires strong maintainability discipline: SRP, DRY, OCP, explicit dependency injection, TDD/ATDD workflow, strict…

    119 GitHub stars~6.3k tokensUpdated 6 days ago
    DevelopmentAuto-check passed
  • Python Architecture

    microsoft/apm

    Official

    Activate when creating new modules, refactoring class hierarchies, introducing design patterns, or making changes spanning 3+ files in the APM CLI codebase.

    4k GitHub stars~347 tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Python Design Patterns

    aiskillstore/marketplace

    Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance.

    430 GitHub starsUsed in 1 repo~3.1k tokens
    DevelopmentAuto-check passed
  • Swiftui View Refactor

    Dimillian/Skills

    Refactor and review SwiftUI view files with strong defaults for small dedicated subviews, MV-over-MVVM data flow, stable view trees, explicit dependency injection, and correct Observation usage.

    4k GitHub starsUsed in 5 repos~2k tokens
    DevelopmentAuto-check passed
  • Describes seven Rust design patterns for the RTK CLI filter modules, with when to use each, RTK examples, and notes on when a pattern is overkill.

    83k GitHub stars~1.9k tokensUpdated today
    DevelopmentAuto-check passed

More from wshobson/agents

All 142 skills in this repo
  • Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.

    40k GitHub starsUsed in 13 repos~1.7k tokens
    Auto-check passed
  • Billing Automation

    wshobson/agents

    Covers building subscription billing: billing cycles, subscription states, invoice generation, proration, tax handling and dunning for failed payments.

    40k GitHub starsUsed in 12 repos~473 tokens
    Auto-check passed
  • Profiles slow Python code with cProfile and memory profilers, then applies targeted fixes for CPU, memory, I/O and query bottlenecks.

    40k GitHub starsUsed in 12 repos~814 tokens
    Auto-check passed
  • Portfolio Risk Metrics

    wshobson/agents

    Covers portfolio risk measurement with VaR, CVaR, Sharpe, Sortino and drawdown, plus guidance on limits, stress tests and tail risk.

    40k GitHub starsUsed in 12 repos~502 tokens
    Auto-check passed
  • Plans memory headroom, works through out-of-memory failures and watches temperature and power during long ML training jobs on NVIDIA DGX Spark.

    40k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Writes unit tests for shell scripts with Bats: error-condition tests, fixtures and mocks, cross-shell checks, parallel runs, helper files and CI integration.

    40k GitHub starsUsed in 11 repos~1.3k tokens
    Auto-check passed

Works with

Categories

Questions about Python Design Patterns

What does Python Design Patterns do?

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Python Design Patterns is an agent skill from wshobson/agents. Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance.

When should I use Python Design Patterns?

Python Design Patterns fits situations like: designing a new service; component from scratch and choosing how to layer responsibilities; refactoring a God class; monolithic function that has grown too large.

How do I install Python Design Patterns in Claude Code?

Run `npx skills add wshobson/agents --skill python-design-patterns -a claude-code`. Or copy the skill folder (plugins/python-development/skills/python-design-patterns in wshobson/agents) into .claude/skills/python-design-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Python Design Patterns in Codex?

Run `npx skills add wshobson/agents --skill python-design-patterns -a codex`. Or copy the skill folder (plugins/python-development/skills/python-design-patterns in wshobson/agents) into .agents/skills/python-design-patterns in your project. Codex loads it when a task matches its description.

Can I use Python Design Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wshobson/agents --skill python-design-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-design-patterns, .gemini/skills/python-design-patterns, .github/skills/python-design-patterns and .opencode/skills/python-design-patterns in your project.

What does Python Design Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: Python Design Patterns is instructions for the agent only. Our summary lists: Python 3.

Does Python Design Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Python Design Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Python Design Patterns use?

Python Design Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Python Design Patterns use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Python Design Patterns?

Skills that share tags, products or a category with Python Design Patterns: Python Design (mindfold-ai/Trellis, 15k stars), Py Rig (mudrii/hermesd, 119 stars), Python Architecture (microsoft/apm, 4k stars) and Python Design Patterns (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Python Design Patterns?

wshobson (a GitHub user) maintains it in wshobson/agents, which has 40,254 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 5, 2026.

Source: wshobson/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.