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Pyright

  • 76 installs
  • 63 repo stars
  • Updated July 18, 2026
  • bobmatnyc/claude-mpm-skills

pyright is a reference skill for Pyright, Microsoft's fast Python type checker, covering config, strict modes, Pylance integration, and type narrowing.

About

This skill is a reference for Pyright, Microsoft's fast Python type checker. It covers installation, pyrightconfig.json setup, the basic/standard/strict type-checking modes, VS Code Pylance integration, and type-narrowing features like protocols, TypedDict, and type guards. A developer uses it to add or tighten static type checking on a Python codebase.

  • Pyright fast Python type checker with basic, standard, and strict modes
  • pyrightconfig.json setup and per-file directives
  • VS Code Pylance integration and type-narrowing features

Pyright by the numbers

  • 76 all-time installs (skills.sh)
  • Ranked #504 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Aug 1, 2026 (Skillselion catalog sync)
At a glance

pyright capabilities & compatibility

Capabilities
type checking · static analysis · linting
Use cases
code review · debugging
IDEs
vscode
Runs
Runs locally
Pricing
Free
From the docs

What pyright says it does

Pyright fast Python type checker from Microsoft with VS Code integration and strict type checking modes
SKILL.md
Pyright powers Pylance extension:
SKILL.md
**Strict Mode** (Maximum type safety):
SKILL.md
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill pyright

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Listed on Skillselion
Installs76
repo stars63
Last updatedJuly 18, 2026
Repositorybobmatnyc/claude-mpm-skills

What it does

Reference for configuring Pyright's type-checking modes, pyrightconfig.json, and Pylance integration for Python static typing.

Who is it for?

Python developers adding or tightening static type checking, or migrating from mypy.

Skip if: Non-Python codebases or runtime testing needs.

When should I use this skill?

Needing faster type checking than mypy, using VS Code Pylance, or requiring stricter type checking.

What you get

A configured Pyright setup with the appropriate type-checking mode.

By the numbers

  • Documents 3 type-checking modes (basic, standard, strict)

Files

SKILL.mdMarkdownGitHub ↗

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)

# 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:

# Install Pylance extension (includes pyright)
code --install-extension ms-python.vscode-pylance

pip Installation

# Community wrapper
pip install pyright

# Note: Still requires Node.js runtime

Configuration

pyrightconfig.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):

{
  "typeCheckingMode": "basic",
  "reportUnusedImport": "warning",
  "reportUnusedVariable": "warning"
}

Standard Mode:

{
  "typeCheckingMode": "standard",
  "reportUnknownParameterType": "error",
  "reportUnknownArgumentType": "error",
  "reportUnknownVariableType": "error"
}

Strict Mode (Maximum type safety):

{
  "typeCheckingMode": "strict",
  "reportPrivateUsage": "error",
  "reportConstantRedefinition": "error",
  "reportIncompatibleMethodOverride": "error",
  "reportIncompatibleVariableOverride": "error",
  "reportUnnecessaryIsInstance": "warning",
  "reportUnnecessaryCast": "warning"
}

Per-File Configuration

# pyright: strict
"""Strict type checking for this file."""

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

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

VS Code Integration

settings.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

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

Type Checking Features

Type Narrowing

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

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

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

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

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

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

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

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

# .pre-commit-config.yaml
repos:
  - repo: local
    hooks:
      - id: pyright
        name: pyright
        entry: pyright
        language: node
        types: [python]
        pass_filenames: false
        additional_dependencies: ['pyright@1.1.350']

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

{
  "// 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

# 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

{
  "typeCheckingMode": "basic",
  "include": ["src/new_module"],
  "exclude": ["src/legacy"],
  "reportMissingImports": true,
  "reportMissingTypeStubs": false
}

Performance Optimization

Baseline Performance

# Create performance baseline
pyright --stats --createstub

# Compare after changes
pyright --stats

Watch Mode

# Fast incremental checking
pyright --watch

# With specific path
pyright --watch src/

Parallel Checking

{
  "executionEnvironments": [
    {
      "root": "src",
      "pythonVersion": "3.11"
    },
    {
      "root": "tests",
      "pythonVersion": "3.11",
      "extraPaths": ["src"]
    }
  ]
}

Common Patterns

Optional Handling

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

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

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

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

# 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

{
  "typeCheckingMode": "basic",
  "reportMissingImports": true,
  "reportUndefinedVariable": true
}

Gradually Increase Strictness

{
  "typeCheckingMode": "standard",
  "reportUnknownParameterType": "warning",
  "reportUnknownArgumentType": "warning"
}

Use Type Stubs

# Generate stubs for third-party packages
pyright --createstub package_name

# Custom stubs directory
mkdir -p typings

Leverage Inlay Hints

{
  "python.analysis.inlayHints.variableTypes": true,
  "python.analysis.inlayHints.functionReturnTypes": true,
  "python.analysis.inlayHints.callArgumentNames": true
}

Type Coverage

# Check type completeness
pyright --stats

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

Ignore Strategically

# 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

{
  "extraPaths": ["src", "lib"],
  "stubPath": "typings",
  "venvPath": ".",
  "venv": ".venv"
}

Stub Generation

# Generate stubs for package
pyright --createstub requests

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

Performance Issues

{
  "exclude": [
    "**/node_modules",
    "**/__pycache__",
    ".venv",
    "build",
    "dist"
  ]
}

VS Code Not Using Pyright

{
  "python.languageServer": "Pylance",
  "python.analysis.typeCheckingMode": "basic",
  "python.analysis.diagnosticMode": "workspace"
}

Resources

Official:

Community:

---

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

Related skills

FAQ

What type-checking modes does Pyright have?

basic, standard, and strict, set via typeCheckingMode in pyrightconfig.json.

Is Pyright related to Pylance?

Yes, Pyright powers the Pylance VS Code extension.

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