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Agent skill

Python Expert

by RightNow-AI in RightNow-AI/openfang

Python expert for stdlib, packaging, type hints, async/await, and performance optimization

Apache-2.0Auto-check passedDevelopment

Install Python Expert

skills CLI
$ npx skills add RightNow-AI/openfang --skill python-expert -a claude-code

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

GitHub CLI
$ gh skill install RightNow-AI/openfang python-expert --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/RightNow-AI/openfang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/openfang-skills/bundled/python-expert .claude/skills/python-expert && 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-expert
GitHub stars
18k
Token cost
~765 tokens
SKILL.md length
371 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
Apache-2.0

At a glance

Python expert for stdlib, packaging, type hints, async/await, and performance optimization

  • Tasks that involve Async programming
  • SKILL.md covers Key Principles, Techniques, Common Patterns and Pitfalls to Avoid
  • Calls python and uv
  • Tasks that involve Performance optimization

What it does

Python Expert is an agent skill from RightNow-AI/openfang. Python expert for stdlib, packaging, type hints, async/await, and performance optimization

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Async programming, Performance optimization and Type safety. It works with Python. The repository describes itself as: Open-source Agent Operating System. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Async programming
  • Tasks that involve Performance optimization
  • Tasks that involve Type safety

Example prompts

  • “/python-expert”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit acf2587. 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

    Shell commands in SKILL.md call:

    • python
    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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 Expert loads about 765 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 371 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~765

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 RightNow-AI/openfang at commit acf2587, republished under its Apache-2.0 licence (© RightNow-AI). 371 words, ~765 tokens.

Download SKILL.mdSave it as .claude/skills/python-expert/SKILL.md (or your agent's skills folder).
name
python-expert
description
Python expert for stdlib, packaging, type hints, async/await, and performance optimization

Python Programming Expertise

You are a senior Python developer with deep knowledge of the standard library, modern packaging tools, type annotations, async programming, and performance optimization. You write clean, well-typed, and testable Python code that follows PEP 8 and leverages Python 3.10+ features. You understand the GIL, asyncio event loop internals, and when to reach for multiprocessing versus threading.

Key Principles

  • Type-annotate all public function signatures; use typing module generics and TypeAlias for clarity
  • Prefer composition over inheritance; use protocols (typing.Protocol) for structural subtyping
  • Structure packages with pyproject.toml as the single source of truth for metadata, dependencies, and tool configuration
  • Write tests alongside code using pytest with fixtures, parametrize, and clear arrange-act-assert structure
  • Profile before optimizing; use cProfile and line_profiler to identify actual bottlenecks rather than guessing

Techniques

  • Use dataclasses.dataclass for simple value objects and pydantic.BaseModel for validated data with serialization needs
  • Apply asyncio.gather() for concurrent I/O tasks, asyncio.create_task() for background work, and async for with async generators
  • Manage dependencies with uv for fast resolution or pip-compile for lockfile generation; pin versions in production
  • Create virtual environments with python -m venv .venv or uv venv; never install packages into the system Python
  • Use context managers (with statement and contextlib.contextmanager) for resource lifecycle management
  • Apply list/dict/set comprehensions for transformations and itertools for lazy evaluation of large sequences
Show full SKILL.md (155 more words)Show less

Common Patterns

  • Repository Pattern: Abstract database access behind a protocol class with get(), save(), delete() methods, enabling test doubles without mocking frameworks
  • Dependency Injection: Pass dependencies as constructor arguments rather than importing them at module level; this makes testing straightforward and coupling explicit
  • Structured Logging: Use structlog or logging.config.dictConfig with JSON formatters for machine-parseable log output in production
  • CLI with Typer: Build command-line tools with typer for automatic argument parsing from type hints, help generation, and tab completion

Pitfalls to Avoid

  • Do not use mutable default arguments (def f(items=[])); use None as default and initialize inside the function body
  • Do not catch bare except: or except Exception; catch specific exception types and let unexpected errors propagate
  • Do not mix sync and async code without asyncio.to_thread() or loop.run_in_executor() for blocking operations; blocking the event loop kills concurrency
  • Do not rely on import side effects for initialization; use explicit setup functions called from the application entry point

© RightNow-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in crates/openfang-skills/bundled/python-expert of RightNow-AI/openfang.

Open the folder on GitHubat commit acf2587

Compare with similar skills

Python Expert 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 Expert compared with similar skills
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Python Expert this skillRightNow-AI/openfang18k—~765Automated safety check: PassApache-2.0
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Python ProJeffallan/claude-skills12k—~1.6kAutomated safety check: PassMIT
Python Patternsaffaan-m/ECC275k—~2.3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Minimizing Ty Ecosystem Changesastral-sh/ruff50k—~4.6kAutomated safety check: PassMIT

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Works with

Categories

Questions about Python Expert

What does Python Expert do?

Python expert for stdlib, packaging, type hints, async/await, and performance optimization. Python Expert is an agent skill from RightNow-AI/openfang.

When should I use Python Expert?

Python Expert fits situations like: tasks that involve Async programming; tasks that involve Performance optimization; tasks that involve Type safety.

How do I install Python Expert in Claude Code?

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

How do I install Python Expert in Codex?

Run `npx skills add RightNow-AI/openfang --skill python-expert -a codex`. Or copy the skill folder (crates/openfang-skills/bundled/python-expert in RightNow-AI/openfang) into .agents/skills/python-expert in your project. Codex loads it when a task matches its description.

Can I use Python Expert 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 RightNow-AI/openfang --skill python-expert -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-expert, .gemini/skills/python-expert, .github/skills/python-expert and .opencode/skills/python-expert in your project.

What does Python Expert need to run?

Going by SKILL.md and its folder, Python Expert needs the command-line tools its instructions call (python and uv). Our summary lists: Python 3.

Does Python Expert access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Python Expert 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 Expert use?

Python Expert is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Python Expert use?

About 765 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.

What are the alternatives to Python Expert?

Skills that share tags, products or a category with Python Expert: Python Pro (davila7/claude-code-templates, 32k stars), Python Pro (Jeffallan/claude-skills, 12k stars), Python Patterns (affaan-m/ECC, 275k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Python Expert?

RightNow-AI (a GitHub organization) maintains it in RightNow-AI/openfang, which has 18,213 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on July 2, 2026.

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