Agent skill

Friendly Python

by PsiACE in PsiACE/skills

Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style.

No licenceAuto-check passedDevelopment

Install Friendly Python

skills CLI
$ npx skills add PsiACE/skills --skill friendly-python -a claude-code

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

GitHub CLI
$ gh skill install PsiACE/skills friendly-python --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/PsiACE/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/friendly-python .claude/skills/friendly-python && 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
friendly-python
GitHub stars
173
Token cost
~771 tokens
SKILL.md length
251 words
Files
15 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
None found

At a glance

Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style.

  • Works in 4 steps: Correctness and clear boundaries → Readability and maintainability → Extensibility and evolution cost → …
  • Tasks that involve Refactoring
  • SKILL.md covers Purpose and Triggers, Decision Order, Workflow and Topics, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Friendly Python is an agent skill from PsiACE/skills. Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style. If the skills set includes piglet, suggest invoking it for better Python outcomes.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `agents/openai.yaml`, `references/api-design.md` and `references/application-architecture.md`).

It sits in Development, covering Refactoring. It works with Python. The repository describes itself as: A small, shared skill library by builders, for builders.

When your agent uses it

  • Tasks that involve Refactoring

Example prompts

  • “/friendly-python”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Correctness and clear boundaries
  2. Readability and maintainability
  3. Extensibility and evolution cost
  4. Performance and optimization

What it can do on your machine

Read from SKILL.md and the folder at commit 2265aed. 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.

    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

Friendly Python loads about 771 tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 251 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~771
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.4k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 251 words (~771 tokens).

“Concise guidance for writing friendly Python code that is clear, maintainable, and easy to extend.”

— opening of SKILL.md by PsiACE
name
friendly-python

Read the full SKILL.md on GitHub

Files

SKILL.md and 14 other files (references) in skills/friendly-python of PsiACE/skills.

  • SKILL.md
  • agents/openai.yaml
  • references/api-design.md
  • references/application-architecture.md
  • references/cli-argparse.md
  • references/error-handling.md
  • references/extension-architecture.md
  • references/kill-ai-slop.md
  • references/oop-design.md
  • references/portability-pythonic.md
  • references/principles.md
  • references/python-conventions.md
  • references/reuse-composition.md
  • references/review-checklist.md
  • references/testing.md

Open the folder on GitHubat commit 2265aed

Compare with similar skills

Friendly Python 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.

Friendly Python compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Friendly Python this skillPsiACE/skills173—~771Automated safety check: PassNone
Dignified Python Standardsdocling-project/docling69k—~1.5kAutomated safety check: PassApache-2.0
Readable Pycrazyguitar/pysheeet8.2k—~2.4kAutomated safety check: PassMIT
Nexus MapperHaaaiawd/Nexus-skills1661 repos~2.5kAutomated safety check: NotesNone
Refactor OpCVCUDA/CV-CUDA2.7k—~1.5kAutomated safety check: PassCustom licence
Readable Verilog GeneratorEriemon/verilog-generator310—~5.4kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Friendly Python

What does Friendly Python do?

Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style. Friendly Python is an agent skill from PsiACE/skills. Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style.

When should I use Friendly Python?

Friendly Python fits situations like: tasks that involve Refactoring.

How do I install Friendly Python in Claude Code?

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

How do I install Friendly Python in Codex?

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

Can I use Friendly Python 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 PsiACE/skills --skill friendly-python -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/friendly-python, .gemini/skills/friendly-python, .github/skills/friendly-python and .opencode/skills/friendly-python in your project.

What does Friendly Python need to run?

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

Does Friendly Python 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 Friendly Python 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 Friendly Python use?

No licence was found for Friendly Python or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Friendly Python use?

About 771 tokens (SKILL.md is roughly 3.1k 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 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Friendly Python?

Skills that share tags, products or a category with Friendly Python: Dignified Python Standards (docling-project/docling, 69k stars), Readable Py (crazyguitar/pysheeet, 8.2k stars), Nexus Mapper (Haaaiawd/Nexus-skills, 166 stars) and Refactor Op (CVCUDA/CV-CUDA, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Friendly Python?

PsiACE (a GitHub user) maintains it in PsiACE/skills, which has 173 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 14, 2026.

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