home / skills / bobmatnyc / claude-mpm-skills / pyright

This skill speeds Python type checking with Pyright, enhances accuracy, and integrates with VS Code for strict, scalable projects.

npx playbooks add skill bobmatnyc/claude-mpm-skills --skill pyright

Review the files below or copy the command above to add this skill to your agents.

Files (2)
SKILL.md
13.2 KB
---
name: pyright-type-checker
description: "Pyright fast Python type checker from Microsoft with VS Code integration and strict type checking modes"
progressive_disclosure:
  entry_point:
    summary: "Pyright fast Python type checker from Microsoft with VS Code integration and strict type checking modes"
    when_to_use: "When working with pyright-type-checker or related functionality."
    quick_start: "1. Review the core concepts below. 2. Apply patterns to your use case. 3. Follow best practices for implementation."
---
# Pyright - Fast Python Type Checker

---
progressive_disclosure:
  entry_point:
    summary: "Fast Python type checker from Microsoft with VS Code integration and strict modes"
    when_to_use:
      - "When needing faster type checking than mypy"
      - "When using VS Code (Pylance)"
      - "When requiring stricter type checking"
      - "When migrating from mypy"
    quick_start:
      - "npm install -g pyright"
      - "Create pyrightconfig.json"
      - "pyright ."
  token_estimate:
    entry: 65-80
    full: 3500-4500
---

## Installation

### Node.js (Recommended)
```bash
# Global installation
npm install -g pyright

# Per-project installation
npm install --save-dev pyright

# Verify installation
pyright --version
```

### VS Code (Pylance)
Pyright powers Pylance extension:
```bash
# Install Pylance extension (includes pyright)
code --install-extension ms-python.vscode-pylance
```

### pip Installation
```bash
# Community wrapper
pip install pyright

# Note: Still requires Node.js runtime
```

## Configuration

### pyrightconfig.json
```json
{
  "include": [
    "src"
  ],
  "exclude": [
    "**/node_modules",
    "**/__pycache__",
    ".venv"
  ],
  "typeCheckingMode": "basic",
  "pythonVersion": "3.11",
  "pythonPlatform": "Linux",
  "reportMissingImports": true,
  "reportMissingTypeStubs": false,
  "strictListInference": true,
  "strictDictionaryInference": true,
  "strictSetInference": true
}
```

### Type Checking Modes

**Basic Mode** (Default):
```json
{
  "typeCheckingMode": "basic",
  "reportUnusedImport": "warning",
  "reportUnusedVariable": "warning"
}
```

**Standard Mode**:
```json
{
  "typeCheckingMode": "standard",
  "reportUnknownParameterType": "error",
  "reportUnknownArgumentType": "error",
  "reportUnknownVariableType": "error"
}
```

**Strict Mode** (Maximum type safety):
```json
{
  "typeCheckingMode": "strict",
  "reportPrivateUsage": "error",
  "reportConstantRedefinition": "error",
  "reportIncompatibleMethodOverride": "error",
  "reportIncompatibleVariableOverride": "error",
  "reportUnnecessaryIsInstance": "warning",
  "reportUnnecessaryCast": "warning"
}
```

### Per-File Configuration
```python
# pyright: strict
"""Strict type checking for this file."""

# pyright: basic
"""Basic type checking."""

# pyright: reportGeneralTypeIssues=false
"""Disable specific diagnostics."""
```

## VS Code Integration

### settings.json
```json
{
  "python.languageServer": "Pylance",
  "python.analysis.typeCheckingMode": "basic",
  "python.analysis.diagnosticMode": "workspace",
  "python.analysis.autoImportCompletions": true,
  "python.analysis.inlayHints.functionReturnTypes": true,
  "python.analysis.inlayHints.variableTypes": true,
  "python.analysis.completeFunctionParens": true
}
```

### Workspace Configuration
```json
{
  "python.analysis.extraPaths": [
    "./src",
    "./lib"
  ],
  "python.analysis.stubPath": "./typings",
  "python.analysis.diagnosticSeverityOverrides": {
    "reportUnusedImport": "warning",
    "reportUnusedVariable": "warning",
    "reportGeneralTypeIssues": "error"
  }
}
```

## Type Checking Features

### Type Narrowing
```python
from typing import Union

def process(value: Union[str, int]) -> str:
    # Pyright narrows type based on isinstance
    if isinstance(value, str):
        return value.upper()  # value is str here
    else:
        return str(value)  # value is int here

# Type guards
from typing import TypeGuard

def is_str_list(val: list[object]) -> TypeGuard[list[str]]:
    return all(isinstance(x, str) for x in val)

def process_list(items: list[object]) -> None:
    if is_str_list(items):
        # items is list[str] here
        print(", ".join(items))
```

### Protocol Support
```python
from typing import Protocol

class Drawable(Protocol):
    def draw(self) -> None: ...

class Circle:
    def draw(self) -> None:
        print("Drawing circle")

def render(obj: Drawable) -> None:
    obj.draw()

# Works with structural typing
render(Circle())  # ✓ No explicit inheritance needed
```

### TypedDict
```python
from typing import TypedDict, NotRequired

class User(TypedDict):
    name: str
    age: int
    email: NotRequired[str]  # Optional in Python 3.11+

def create_user(data: User) -> None:
    print(data["name"])  # ✓ Type-safe
    # print(data["missing"])  # ✗ Error

user: User = {
    "name": "Alice",
    "age": 30
}  # ✓ email is optional
```

### Literal Types
```python
from typing import Literal

Mode = Literal["read", "write", "append"]

def open_file(mode: Mode) -> None:
    ...

open_file("read")    # ✓
open_file("delete")  # ✗ Error
```

## Advanced Features

### Variance and Generics
```python
from typing import TypeVar, Generic, Sequence

T_co = TypeVar("T_co", covariant=True)
T_contra = TypeVar("T_contra", contravariant=True)

class Reader(Generic[T_co]):
    def read(self) -> T_co: ...

class Writer(Generic[T_contra]):
    def write(self, item: T_contra) -> None: ...

# Covariance: Reader[Dog] is subtype of Reader[Animal]
# Contravariance: Writer[Animal] is subtype of Writer[Dog]
```

### ParamSpec
```python
from typing import ParamSpec, TypeVar, Callable

P = ParamSpec("P")
R = TypeVar("R")

def add_logging(f: Callable[P, R]) -> Callable[P, R]:
    def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
        print(f"Calling {f.__name__}")
        return f(*args, **kwargs)
    return wrapper

@add_logging
def greet(name: str, age: int) -> str:
    return f"Hello {name}, {age}"

# Type-safe: greet("Alice", 30)
```

### Type Aliases
```python
from typing import TypeAlias

# Simple alias
UserId: TypeAlias = int
Username: TypeAlias = str

# Generic alias
from collections.abc import Sequence
Vector: TypeAlias = Sequence[float]

# Complex alias
JSON: TypeAlias = dict[str, "JSON"] | list["JSON"] | str | int | float | bool | None
```

## CI/CD Integration

### GitHub Actions
```yaml
name: Type Check

on: [push, pull_request]

jobs:
  typecheck:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '20'

      - name: Install pyright
        run: npm install -g pyright

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'

      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements.txt

      - name: Run pyright
        run: pyright
```

### Pre-commit Hook
```yaml
# .pre-commit-config.yaml
repos:
  - repo: local
    hooks:
      - id: pyright
        name: pyright
        entry: pyright
        language: node
        types: [python]
        pass_filenames: false
        additional_dependencies: ['[email protected]']
```

### Makefile
```makefile
.PHONY: typecheck typecheck-strict

typecheck:
	pyright

typecheck-strict:
	pyright --level strict

typecheck-watch:
	pyright --watch

typecheck-stats:
	pyright --stats
```

## Migration from mypy

### Configuration Mapping
```json
{
  "// mypy: disallow_untyped_defs": "reportUntypedFunctionDecorator",
  "// mypy: disallow_any_generics": "reportMissingTypeArgument",
  "// mypy: warn_return_any": "reportUnknownArgumentType",
  "// mypy: strict_equality": "reportUnnecessaryComparison",
  "// mypy: warn_unused_ignores": "reportUnnecessaryTypeIgnoreComment"
}
```

### Comment Syntax
```python
# mypy: ignore-errors
# ↓ pyright equivalent
# pyright: reportGeneralTypeIssues=false

# type: ignore
# ↓ pyright equivalent
# pyright: ignore

# type: ignore[error-code]
# ↓ pyright equivalent
# pyright: ignore[reportGeneralTypeIssues]
```

### Gradual Migration
```json
{
  "typeCheckingMode": "basic",
  "include": ["src/new_module"],
  "exclude": ["src/legacy"],
  "reportMissingImports": true,
  "reportMissingTypeStubs": false
}
```

## Performance Optimization

### Baseline Performance
```bash
# Create performance baseline
pyright --stats --createstub

# Compare after changes
pyright --stats
```

### Watch Mode
```bash
# Fast incremental checking
pyright --watch

# With specific path
pyright --watch src/
```

### Parallel Checking
```json
{
  "executionEnvironments": [
    {
      "root": "src",
      "pythonVersion": "3.11"
    },
    {
      "root": "tests",
      "pythonVersion": "3.11",
      "extraPaths": ["src"]
    }
  ]
}
```

## Common Patterns

### Optional Handling
```python
from typing import Optional

def get_user(user_id: int) -> Optional[str]:
    return "Alice" if user_id == 1 else None

# Before pyright 1.1.200
user = get_user(1)
if user is not None:
    print(user.upper())

# With pyright type narrowing
user = get_user(1)
if user:  # Narrows to str
    print(user.upper())
```

### Union Narrowing
```python
from typing import Union

def process(value: Union[str, list[str]]) -> str:
    if isinstance(value, list):
        return ", ".join(value)  # value is list[str]
    return value  # value is str
```

### Overload
```python
from typing import overload, Literal

@overload
def open_file(path: str, mode: Literal["r"]) -> str: ...

@overload
def open_file(path: str, mode: Literal["rb"]) -> bytes: ...

def open_file(path: str, mode: str) -> str | bytes:
    if mode == "rb":
        return b"binary data"
    return "text data"

# Type-safe usage
text: str = open_file("file.txt", "r")
data: bytes = open_file("file.bin", "rb")
```

### Assertion Functions
```python
from typing import Never

def assert_never(value: Never) -> Never:
    raise AssertionError(f"Unexpected value: {value}")

def handle_status(status: Literal["success", "error"]) -> None:
    if status == "success":
        print("OK")
    elif status == "error":
        print("Failed")
    else:
        assert_never(status)  # Exhaustiveness check
```

## Pyright vs mypy

### Performance Comparison
```bash
# Typical project (10K lines)
# mypy: ~5-10 seconds
# pyright: ~1-2 seconds

# Large project (100K lines)
# mypy: ~60-120 seconds
# pyright: ~10-20 seconds
```

### Feature Differences

**Pyright Advantages**:
- 5-10x faster type checking
- Better type inference
- VS Code integration (Pylance)
- Active development by Microsoft
- Better Protocol support
- Superior type narrowing

**mypy Advantages**:
- More mature ecosystem
- Plugin system
- Finer-grained control
- Better documentation
- More configuration options

### When to Use Pyright
- ✅ VS Code users
- ✅ Need fast feedback
- ✅ Want strict type checking
- ✅ Modern Python (3.10+)
- ✅ Starting new projects

### When to Use mypy
- ✅ Existing mypy setup
- ✅ Need mypy plugins
- ✅ Non-VS Code editors
- ✅ Legacy Python (<3.8)
- ✅ Team prefers mypy

## Best Practices

### Start with Basic Mode
```json
{
  "typeCheckingMode": "basic",
  "reportMissingImports": true,
  "reportUndefinedVariable": true
}
```

### Gradually Increase Strictness
```json
{
  "typeCheckingMode": "standard",
  "reportUnknownParameterType": "warning",
  "reportUnknownArgumentType": "warning"
}
```

### Use Type Stubs
```bash
# Generate stubs for third-party packages
pyright --createstub package_name

# Custom stubs directory
mkdir -p typings
```

### Leverage Inlay Hints
```json
{
  "python.analysis.inlayHints.variableTypes": true,
  "python.analysis.inlayHints.functionReturnTypes": true,
  "python.analysis.inlayHints.callArgumentNames": true
}
```

### Type Coverage
```bash
# Check type completeness
pyright --stats

# Output:
# Files analyzed: 42
# Lines of code: 3,421
# Type completeness: 87.3%
```

### Ignore Strategically
```python
# Avoid broad ignores
# pyright: ignore  # ✗ Too broad

# Prefer specific ignores
# pyright: ignore[reportGeneralTypeIssues]  # ✓ Specific

# Or fix the issue
value: str = cast(str, unknown_value)  # ✓ Best
```

## Troubleshooting

### Import Resolution
```json
{
  "extraPaths": ["src", "lib"],
  "stubPath": "typings",
  "venvPath": ".",
  "venv": ".venv"
}
```

### Stub Generation
```bash
# Generate stubs for package
pyright --createstub requests

# Custom stub location
pyright --createstub requests --outputdir typings
```

### Performance Issues
```json
{
  "exclude": [
    "**/node_modules",
    "**/__pycache__",
    ".venv",
    "build",
    "dist"
  ]
}
```

### VS Code Not Using Pyright
```json
{
  "python.languageServer": "Pylance",
  "python.analysis.typeCheckingMode": "basic",
  "python.analysis.diagnosticMode": "workspace"
}
```

## Resources

**Official**:
- [Pyright Docs](https://github.com/microsoft/pyright)
- [Pylance Extension](https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance)
- [Type Checking Mode Guide](https://github.com/microsoft/pyright/blob/main/docs/configuration.md)

**Community**:
- [awesome-pyright](https://github.com/topics/pyright)
- [Python Type Hints](https://docs.python.org/3/library/typing.html)
- [PEP 484](https://peps.python.org/pep-0484/) - Type Hints

---

**Related Skills**: mypy, FastAPI, Django, pytest
**Token Count**: ~3,850 tokens

Overview

This skill integrates Pyright, Microsoft’s fast Python type checker, into your development workflow with VS Code (Pylance) and CI support. It focuses on strict, configurable type checking, fast incremental analysis, and practical migration guidance from mypy. Use it to get rapid, actionable type diagnostics across modern Python projects.

How this skill works

The skill runs Pyright against your codebase using a pyrightconfig.json to control include/exclude paths, typeCheckingMode (basic/standard/strict), and a range of diagnostic toggles. It supports per-file directives, VS Code settings for Pylance inlay hints and diagnostics, watch mode for incremental checks, and CI hooks (GitHub Actions, pre-commit) to enforce type safety. It can generate stubs, measure type coverage, and run in parallel execution environments.

When to use it

  • You want much faster type checking than mypy for medium to large codebases.
  • You use VS Code and want tight Pylance integration and inlay hints.
  • You’re migrating gradually from mypy and need mapping of settings.
  • You need strict type safety for new or security-critical modules.
  • You want CI / pre-commit enforcement and watch-mode feedback locally.

Best practices

  • Start in basic mode and raise strictness progressively per module or file.
  • Use pyrightconfig.json to exclude build artifacts and large vendor folders.
  • Generate or add stubs for third-party packages instead of broad ignores.
  • Enable inlay hints in VS Code to surface inferred types during development.
  • Use watch mode and pyright --stats to measure type coverage and performance.

Example use cases

  • Add Pyright to CI with a GitHub Action to block PRs with new type errors.
  • Migrate a subset of a legacy codebase by including only new modules for strict checking.
  • Use pyright --watch during active development for near-instant feedback.
  • Create custom stubs (typings) for untyped dependencies and keep them under source control.
  • Run pyright --createstub on a dependency, review, and place stubs in a project stubPath.

FAQ

Do I need Node.js to run Pyright?

Yes—Pyright is distributed via npm and requires a Node runtime even when installed through the community pip wrapper.

How do I get strict checking only for new code?

Set typeCheckingMode to basic globally and include only new module paths in pyrightconfig.json; apply per-file 'pyright: strict' directives where needed.