复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
This is the open-source content repository behind
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
This is the open-source content repository behind Skill Store. It stores every approved Agent Skill, the records that go with it, and the automated security audits published with each skill.
This repo is a companion to the Skill Store platform, not the place to submit skills. Skills are added through skillstore.io — its review pipeline writes to this repo automatically. Please do not open a pull request here to add a skill; PRs adding skills will be closed. See Contributing a skill below.
The recommended way to install any skill is the skillstore CLI — one command works for both Claude Code and Codex:
npx skillstore add author/skill-name
For example:
npx skillstore add aiskillstore/code-review
It downloads the skill and drops it into the right skills/ directory for your tool. Claude Code auto-discovers it; for Codex, restart the session.
Prefer to do it by hand, or installing via Claude Web? See the full Installation Guides for every method (CLI, manual, and ZIP upload) and the scope directories (~/.agents/skills/, .claude/skills/, ~/.claude/skills/, .codex/skills/, …).
Submit through the platform — not through a pull request:
SKILL.md.SKILL.md — the skill definition (required, per the Agent Skills spec)LICENSE (recommended)Every submission is scanned automatically before it can be published. The audit flags things like:
eval, exec, raw system commands)Security analysis is report-only: findings inform maintainers and users, but a risk result does not automatically block an otherwise approved skill from being published. See our Security Trust Center for the methodology, limitations, and risk-level definitions.
Live Security Passport example:
.
├── skills/ # Approved, published skills (one folder each, with SKILL.md)
├── pending/ # Submissions awaiting review
├── packages/
│ ├── cli/ # The `skillstore` CLI (npx skillstore add …)
│ └── skillstore/
├── schemas/ # JSON schemas for skill records
├── scripts/ # Maintenance & scoring scripts
└── .github/workflows/ # Submission, audit, and sync automation
The contents of this repo are maintained by Skill Store's automated pipeline. Manual changes are limited to maintainers.
The marketplace catalog is MIT-licensed. Individual skills carry their own licenses — check each skill's LICENSE file.
name: python-best-practices
description: Use when reading or writing Python files (.py, pyproject.toml, requirements.txt).Follows type-first, functional, and error handling patterns from CLAUDE.md. This skill covers language-specific idioms only.
Use Python's type system to prevent invalid states at type-check time.
Frozen dataclasses for immutable domain models:
from dataclasses import dataclass
from datetime import datetime
@dataclass(frozen=True)
class User:
id: str
email: str
name: str
created_at: datetime
# Frozen dataclasses are immutable — no accidental mutation
Discriminated unions with Literal:
from dataclasses import dataclass
from typing import Literal
@dataclass
class Success:
status: Literal["success"] = "success"
data: str
@dataclass
class Failure:
status: Literal["error"] = "error"
error: Exception
RequestState = Success | Failure
def handle_state(state: RequestState) -> None:
match state:
case Success(data=data):
render(data)
case Failure(error=err):
show_error(err)
NewType for domain primitives:
from typing import NewType
UserId = NewType("UserId", str)
OrderId = NewType("OrderId", str)
def get_user(user_id: UserId) -> User:
# Type checker prevents passing OrderId here
...
Protocol for structural typing:
from typing import Protocol
class Readable(Protocol):
def read(self, n: int = -1) -> bytes: ...
def process_input(source: Readable) -> bytes:
# Accepts any object with a read() method — no inheritance required
return source.read()
Chain exceptions with from err to preserve the original traceback:
try:
data = json.loads(raw)
except json.JSONDecodeError as err:
raise ValueError(f"invalid JSON payload: {err}") from err
Use a module-level logger with %s formatting (deferred string interpolation):
import logging
logger = logging.getLogger("myapp.widgets")
def create_widget(name: str) -> Widget:
logger.debug("creating widget: %s", name)
widget = Widget(name=name)
logger.debug("created widget id=%s", widget.id)
return widget
For fast type checking, consider ty from Astral (creators of ruff and uv). Written in Rust, significantly faster than mypy or pyright.
uvx ty check # run directly, no install needed
uvx ty check src/ # check specific path
# pyproject.toml
[tool.ty]
python-version = "3.12"
When to choose:
ty — fastest, good for CI and large codebases (early stage, rapidly evolving)pyright — most complete type inference, VS Code integrationmypy — mature, extensive plugin ecosystem
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