Kedro Babysit
kedro-org/kedro
Run Kedro's local lint / format / type-check / tests on changed files (uses the project's pre-commit hooks, ruff, mypy, pytest, lint-imports, detect-secrets, Make targets — in the right venv), or…
Writes type-annotated Python 3.11+ with async patterns, dataclasses and pytest suites, validated with mypy in strict mode, black and ruff.
$ npx skills add Jeffallan/claude-skills --skill python-pro -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jeffallan/claude-skills python-pro --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Jeffallan/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/python-pro .claude/skills/python-pro && rm -rf skills-srcUse ~/.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/
Install the "python-pro" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/python-pro into .claude/skills/python-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-pro", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Jeffallan/claude-skills/tree/main/skills/python-proType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Jeffallan/claude-skills --skill python-pro -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jeffallan/claude-skills python-pro --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jeffallan/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/python-pro .agents/skills/python-pro && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-pro" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/python-pro into .agents/skills/python-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-pro", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Jeffallan/claude-skills --skill python-pro -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jeffallan/claude-skills python-pro --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jeffallan/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/python-pro .cursor/skills/python-pro && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "python-pro" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/python-pro into .cursor/skills/python-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-pro", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Jeffallan/claude-skills.git --path skills/python-pro--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Jeffallan/claude-skills --skill python-pro -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jeffallan/claude-skills python-pro --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jeffallan/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/python-pro .gemini/skills/python-pro && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "python-pro" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/python-pro into .gemini/skills/python-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-pro", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Jeffallan/claude-skills python-proInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Jeffallan/claude-skills --skill python-pro -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jeffallan/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/python-pro .github/skills/python-pro && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "python-pro" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/python-pro into .github/skills/python-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-pro", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Jeffallan/claude-skills --skill python-pro -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jeffallan/claude-skills python-pro --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jeffallan/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/python-pro .opencode/skills/python-pro && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "python-pro" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/python-pro into .opencode/skills/python-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-pro", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
python-proWrites type-annotated Python 3.11+ with async patterns, dataclasses and pytest suites, validated with mypy in strict mode, black and ruff.
The agent reviews code structure, dependencies, type coverage and tests, defines protocols, dataclasses and type aliases, implements with full type hints and error handling, writes a pytest suite aiming for coverage above 90%, and validates with mypy --strict, black and ruff. Each kind of failure has its own loop: fix reported type errors and re-run, debug assertions and update fixtures until the tests pass, and apply auto-fixes before validating again.
The rules call for type hints on all signatures and class attributes, Google-style docstrings, X | None over Optional, async/await for I/O, dataclasses, context managers and pathlib. They rule out mutable default arguments, bare except clauses, hardcoded secrets and ignored mypy errors. Reference files cover the type system, asyncio and task groups, the standard library, pytest, and packaging with Poetry and pyproject.toml.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1be15d8. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
mypyFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comsynergetic.solutionsjeffallan.github.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Python Pro loads about 1.6k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 385 words of instructions outside code blocks.
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.
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.
The full file from Jeffallan/claude-skills at commit 1be15d8, republished under its MIT licence (© Jeffallan). 385 words, ~1,565 tokens.
.claude/skills/python-pro/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Modern Python 3.11+ specialist focused on type-safe, async-first, production-ready code.
mypy --strict, black, ruffLoad detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Type System | references/type-system.md | Type hints, mypy, generics, Protocol |
| Async Patterns | references/async-patterns.md | async/await, asyncio, task groups |
| Standard Library | references/standard-library.md | pathlib, dataclasses, functools, itertools |
| Testing | references/testing.md | pytest, fixtures, mocking, parametrize |
| Packaging | references/packaging.md | poetry, pip, pyproject.toml, distribution |
X | None instead of Optional[X] (Python 3.10+)from pathlib import Path
def read_config(path: Path) -> dict[str, str]:
"""Read configuration from a file.
Args:
path: Path to the configuration file.
Returns:
Parsed key-value configuration entries.
Raises:
FileNotFoundError: If the config file does not exist.
ValueError: If a line cannot be parsed.
"""
config: dict[str, str] = {}
with path.open() as f:
for line in f:
key, _, value = line.partition("=")
if not key.strip():
raise ValueError(f"Invalid config line: {line!r}")
config[key.strip()] = value.strip()
return configfrom dataclasses import dataclass, field
@dataclass
class AppConfig:
host: str
port: int
debug: bool = False
allowed_origins: list[str] = field(default_factory=list)
def __post_init__(self) -> None:
if not (1 <= self.port <= 65535):
raise ValueError(f"Invalid port: {self.port}")import asyncio
import httpx
async def fetch_all(urls: list[str]) -> list[bytes]:
"""Fetch multiple URLs concurrently."""
async with httpx.AsyncClient() as client:
tasks = [client.get(url) for url in urls]
responses = await asyncio.gather(*tasks)
return [r.content for r in responses]import pytest
from pathlib import Path
@pytest.fixture
def config_file(tmp_path: Path) -> Path:
cfg = tmp_path / "config.txt"
cfg.write_text("host=localhost\nport=8080\n")
return cfg
@pytest.mark.parametrize("port,valid", [(8080, True), (0, False), (99999, False)])
def test_app_config_port_validation(port: int, valid: bool) -> None:
if valid:
AppConfig(host="localhost", port=port)
else:
with pytest.raises(ValueError):
AppConfig(host="localhost", port=port)[tool.mypy]
python_version = "3.11"
strict = true
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = trueClean mypy --strict output looks like:
Success: no issues found in 12 source filesAny reported error (e.g., error: Function is missing a return type annotation) must be resolved before the implementation is considered complete.
When implementing Python features, provide:
Python 3.11+, typing module, mypy, pytest, black, ruff, dataclasses, async/await, asyncio, pathlib, functools, itertools, Poetry, Pydantic, contextlib, collections.abc, Protocol
Maintained by @jeffallan, Principal Consultant at Synergetic Solutions
© Jeffallan, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in skills/python-pro of Jeffallan/claude-skills.
Open the folder on GitHubat commit 1be15d8
Python Pro 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Python Pro this skillJeffallan/claude-skills | 12k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Kedro Babysitkedro-org/kedro | 11k | — | ~4k | Automated safety check: Pass | Custom licence | |
| Modern Pythonantoinebou12/uml-mcp | 105 | — | ~1k | Automated safety check: Pass | MIT | |
| Specx Project Toolingmaksimzayats/specx | 202 | — | ~965 | Automated safety check: Pass | MIT | |
| Pythonalinaqi/maggy | 707 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Pythonericrisco/rsc-harness | 174 | — | ~3.8k | Automated safety check: Pass | MIT |
kedro-org/kedro
Run Kedro's local lint / format / type-check / tests on changed files (uses the project's pre-commit hooks, ruff, mypy, pytest, lint-imports, detect-secrets, Make targets — in the right venv), or…
antoinebou12/uml-mcp
Modern Python tooling and best practices using uv, ruff, ty, and pytest.
maksimzayats/specx
Add strict Python project tooling for a specx service. An agent skill from maksimzayats/specx.
alinaqi/maggy
Python development with ruff, mypy, pytest - TDD and type safety
ericrisco/rsc-harness
A skill your agent uses when the task is Python itself, in any framework or none: PEP 695 generics, mypy --strict typing, dataclass/Protocol/TypedDict/Enum choices, asyncio.TaskGroup, stdlib idioms…
av1155/houndarr
Run Houndarr's full quality gate (ruff lint, ruff format check, mypy, bandit, pytest) and report results in a single table.
Jeffallan/claude-skills
Designs REST and GraphQL APIs from resource modeling to an OpenAPI 3.1 contract, with versioning, pagination and RFC 7807 error handling.
Jeffallan/claude-skills
Walks through designing, building and polishing a command-line tool: user workflow and command hierarchy, implementation in commander, click, typer or cobra, completions and cross-platform testing.
Jeffallan/claude-skills
Creates and checks Kubernetes manifests, Helm charts, RBAC and network policies, and helps debug pod problems, with kubectl checks and rollback steps.
Jeffallan/claude-skills
Builds Laravel 10+ applications with Eloquent models, Sanctum authentication, Horizon queues, API resources and Livewire components, tested with Pest or PHPUnit.
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
Jeffallan/claude-skills
Guides writing and tuning Apache Spark jobs: DataFrame and RDD code, Spark SQL, partitioning, caching, shuffle tuning and structured streaming.
Categories
Writes type-annotated Python 3.11+ with async patterns, dataclasses and pytest suites, validated with mypy in strict mode, black and ruff. The agent reviews code structure, dependencies, type coverage and tests, defines protocols, dataclasses and type aliases, implements with full type hints and error handling, writes a pytest suite aiming for coverage above 90%, and validates with mypy --strict, black and ruff. Each kind of failure has its own loop: fix reported type errors and re-run, debug assertions and update fixtures until the tests pass, and apply auto-fixes before validating again.
Python Pro fits situations like: adding type hints to an untyped Python module and getting mypy strict to pass; converting blocking I/O code to async/await; building a pytest suite with fixtures, mocking and parametrize; packaging a Python project with Poetry and pyproject.toml.
Run `npx skills add Jeffallan/claude-skills --skill python-pro -a claude-code`. Or copy the skill folder (skills/python-pro in Jeffallan/claude-skills) into .claude/skills/python-pro in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Jeffallan/claude-skills --skill python-pro -a codex`. Or copy the skill folder (skills/python-pro in Jeffallan/claude-skills) into .agents/skills/python-pro in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jeffallan/claude-skills --skill python-pro -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-pro, .gemini/skills/python-pro, .github/skills/python-pro and .opencode/skills/python-pro in your project.
Going by SKILL.md and its folder, Python Pro needs the command-line tools its instructions call (mypy). Our summary lists: Python 3.11 or later; `mypy`, `black`, `ruff` and `pytest`.
SKILL.md names 3 domains. As links in the text: github.com, synergetic.solutions and jeffallan.github.io. This is read from the text; nothing was executed.
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.
Python Pro is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.3k 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 11k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Python Pro: Kedro Babysit (kedro-org/kedro, 11k stars), Modern Python (antoinebou12/uml-mcp, 105 stars), Specx Project Tooling (maksimzayats/specx, 202 stars) and Python (alinaqi/maggy, 707 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Jeffallan (a GitHub user) maintains it in Jeffallan/claude-skills, which has 11,788 GitHub stars. The repository holds 58 skills in this directory. The repository was last updated on October 3, 2026.
Source: Jeffallan/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.