[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FR4R2SXMMFRXYCH5CXZAS":3,"skill-same:01M71FR4R2SXMMFRXYCH5CXZAS":106},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M71FR4R2SXMMFRXYCH5CXZAS","python-typing-patterns",null,"Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.","JSGforever\u002Fskillguard","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","01M71FQD3E132VMR5F4TAYX3YS","01M71FQD4DYW0XJ4XQ4YQH75Y9",2,"GPL-3.0","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__0xdarkmatter--python-typing-patterns\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36],"python","python typing patterns","patterns","typing","annotation","pytest","Safety","protocol","syntax","union","pyright","write","read","mypy","Type Safety","self","type","triggers","generic","2026-11-10 10:12:30",false,"---\nname: python-typing-patterns\ndescription: \"Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.\"\ncompatibility: \"Python 3.10+ (uses union syntax X | Y). Some patterns require 3.11+ (Self, TypeVarTuple).\"\nallowed-tools: \"Read Write\"\ndepends-on: []\nrelated-skills: [python-pytest-patterns]\n---\n\n# Python Typing Patterns\n\nModern type hints for safe, documented Python code.\n\n## Basic Annotations\n\n```python\n# Variables\nname: str = \"Alice\"\ncount: int = 42\nitems: list[str] = [\"a\", \"b\"]\nmapping: dict[str, int] = {\"key\": 1}\n\n# Function signatures\ndef greet(name: str, times: int = 1) -> str:\n    return f\"Hello, {name}!\" * times\n\n# None handling\ndef find(id: int) -> str | None:\n    return db.get(id)  # May return None\n```\n\n## Collections\n\n```python\nfrom collections.abc import Sequence, Mapping, Iterable\n\n# Use collection ABCs for flexibility\ndef process(items: Sequence[str]) -> list[str]:\n    \"\"\"Accepts list, tuple, or any sequence.\"\"\"\n    return [item.upper() for item in items]\n\ndef lookup(data: Mapping[str, int], key: str) -> int:\n    \"\"\"Accepts dict or any mapping.\"\"\"\n    return data.get(key, 0)\n\n# Nested types\nMatrix = list[list[float]]\nConfig = dict[str, str | int | bool]\n```\n\n## Optional and Union\n\n```python\n# Modern syntax (3.10+)\ndef find(id: int) -> User | None:\n    pass\n\ndef parse(value: str | int | float) -> str:\n    pass\n\n# With default None\ndef fetch(url: str, timeout: float | None = None) -> bytes:\n    pass\n```\n\n## TypedDict\n\n```python\nfrom typing import TypedDict, Required, NotRequired\n\nclass UserDict(TypedDict):\n    id: int\n    name: str\n    email: str | None\n\nclass ConfigDict(TypedDict, total=False):  # All optional\n    debug: bool\n    log_level: str\n\nclass APIResponse(TypedDict):\n    data: Required[list[dict]]\n    error: NotRequired[str]\n\ndef process_user(user: UserDict) -> str:\n    return user[\"name\"]  # Type-safe key access\n```\n\n## Callable\n\n```python\nfrom collections.abc import Callable\n\n# Function type\nHandler = Callable[[str, int], bool]\n\ndef register(callback: Callable[[str], None]) -> None:\n    pass\n\n# With keyword args (use Protocol instead)\nfrom typing import Protocol\n\nclass Processor(Protocol):\n    def __call__(self, data: str, *, verbose: bool = False) -> int:\n        ...\n```\n\n## Generics\n\n```python\nfrom typing import TypeVar\n\nT = TypeVar(\"T\")\n\ndef first(items: list[T]) -> T | None:\n    return items[0] if items else None\n\n# Bounded TypeVar\nfrom typing import SupportsFloat\n\nN = TypeVar(\"N\", bound=SupportsFloat)\n\ndef average(values: list[N]) -> float:\n    return sum(float(v) for v in values) \u002F len(values)\n```\n\n## Protocol (Structural Typing)\n\n```python\nfrom typing import Protocol\n\nclass Readable(Protocol):\n    def read(self, n: int = -1) -> bytes:\n        ...\n\ndef load(source: Readable) -> dict:\n    \"\"\"Accepts any object with read() method.\"\"\"\n    data = source.read()\n    return json.loads(data)\n\n# Works with file, BytesIO, custom classes\nload(open(\"data.json\", \"rb\"))\nload(io.BytesIO(b\"{}\"))\n```\n\n## Type Guards\n\n```python\nfrom typing import TypeGuard\n\ndef is_string_list(val: list[object]) -> TypeGuard[list[str]]:\n    return all(isinstance(x, str) for x in val)\n\ndef process(items: list[object]) -> None:\n    if is_string_list(items):\n        # items is now list[str]\n        print(\", \".join(items))\n```\n\n## Literal and Final\n\n```python\nfrom typing import Literal, Final\n\nMode = Literal[\"read\", \"write\", \"append\"]\n\ndef open_file(path: str, mode: Mode) -> None:\n    pass\n\n# Constants\nMAX_SIZE: Final = 1024\nAPI_VERSION: Final[str] = \"v2\"\n```\n\n## Quick Reference\n\n| Type | Use Case |\n|------|----------|\n| `X \\| None` | Optional value |\n| `list[T]` | Homogeneous list |\n| `dict[K, V]` | Dictionary |\n| `Callable[[Args], Ret]` | Function type |\n| `TypeVar(\"T\")` | Generic parameter |\n| `Protocol` | Structural typing |\n| `TypedDict` | Dict with fixed keys |\n| `Literal[\"a\", \"b\"]` | Specific values only |\n| `Final` | Cannot be reassigned |\n\n## Type Checker Commands\n\n```bash\n# mypy\nmypy src\u002F --strict\n\n# pyright\npyright src\u002F\n\n# In pyproject.toml\n[tool.mypy]\nstrict = true\npython_version = \"3.11\"\n```\n\n## Additional Resources\n\n- `.\u002Freferences\u002Fgenerics-advanced.md` - TypeVar, ParamSpec, TypeVarTuple\n- `.\u002Freferences\u002Fprotocols-patterns.md` - Structural typing, runtime protocols\n- `.\u002Freferences\u002Ftype-narrowing.md` - Guards, isinstance, assert\n- `.\u002Freferences\u002Fmypy-config.md` - mypy\u002Fpyright configuration\n- `.\u002Freferences\u002Fruntime-validation.md` - Pydantic v2, typeguard, beartype\n- `.\u002Freferences\u002Foverloads.md` - @overload decorator patterns\n\n## Scripts\n\n- `.\u002Fscripts\u002Fcheck-types.sh` - Run type checkers with common options\n\n## Assets\n\n- `.\u002Fassets\u002Fpyproject-typing.toml` - Recommended mypy\u002Fpyright config\n\n---\n\n## See Also\n\nThis is a **foundation skill** with no prerequisites.\n\n**Related Skills:**\n- `python-pytest-patterns` - Type-safe fixtures and mocking\n\n**Build on this skill:**\n- `python-async-patterns` - Async type annotations\n- `python-fastapi-patterns` - Pydantic models and validation\n- `python-database-patterns` - SQLAlchemy type annotations\n","# Python Typing Patterns\n\nModern type hints for safe, documented Python code.\n\n## Basic Annotations\n\n```python\n# Variables\nname: str = \"Alice\"\ncount: int = 42\nitems: list[str] = [\"a\", \"b\"]\nmapping: dict[str, int] = {\"key\": 1}\n\n# Function signatures\ndef greet(name: str, times: int = 1) -> str:\n    return f\"Hello, {name}!\" * times\n\n# None handling\ndef find(id: int) -> str | None:\n    return db.get(id)  # May return None\n```\n\n## Collections\n\n```python\nfrom collections.abc import Sequence, Mapping, Iterable\n\n# Use collection ABCs for flexibility\ndef process(items: Sequence[str]) -> list[str]:\n    \"\"\"Accepts list, tuple, or any sequence.\"\"\"\n    return [item.upper() for item in items]\n\ndef lookup(data: Mapping[str, int], key: str) -> int:\n    \"\"\"Accepts dict or any mapping.\"\"\"\n    return data.get(key, 0)\n\n# Nested types\nMatrix = list[list[float]]\nConfig = dict[str, str | int | bool]\n```\n\n## Optional and Union\n\n```python\n# Modern syntax (3.10+)\ndef find(id: int) -> User | None:\n    pass\n\ndef parse(value: str | int | float) -> str:\n    pass\n\n# With default None\ndef fetch(url: str, timeout: float | None = None) -> bytes:\n    pass\n```\n\n## TypedDict\n\n```python\nfrom typing import TypedDict, Required, NotRequired\n\nclass UserDict(TypedDict):\n    id: int\n    name: str\n    email: str | None\n\nclass ConfigDict(TypedDict, total=False):  # All optional\n    debug: bool\n    log_level: str\n\nclass APIResponse(TypedDict):\n    data: Required[list[dict]]\n    error: NotRequired[str]\n\ndef process_user(user: UserDict) -> str:\n    return user[\"name\"]  # Type-safe key access\n```\n\n## Callable\n\n```python\nfrom collections.abc import Callable\n\n# Function type\nHandler = Callable[[str, int], bool]\n\ndef register(callback: Callable[[str], None]) -> None:\n    pass\n\n# With keyword args (use Protocol instead)\nfrom typing import Protocol\n\nclass Processor(Protocol):\n    def __call__(self, data: str, *, verbose: bool = False) -> int:\n        ...\n```\n\n## Generics\n\n```python\nfrom typing import TypeVar\n\nT = TypeVar(\"T\")\n\ndef first(items: list[T]) -> T | None:\n    return items[0] if items else None\n\n# Bounded TypeVar\nfrom typing import SupportsFloat\n\nN = TypeVar(\"N\", bound=SupportsFloat)\n\ndef average(values: list[N]) -> float:\n    return sum(float(v) for v in values) \u002F len(values)\n```\n\n## Protocol (Structural Typing)\n\n```python\nfrom typing import Protocol\n\nclass Readable(Protocol):\n    def read(self, n: int = -1) -> bytes:\n        ...\n\ndef load(source: Readable) -> dict:\n    \"\"\"Accepts any object with read() method.\"\"\"\n    data = source.read()\n    return json.loads(data)\n\n# Works with file, BytesIO, custom classes\nload(open(\"data.json\", \"rb\"))\nload(io.BytesIO(b\"{}\"))\n```\n\n## Type Guards\n\n```python\nfrom typing import TypeGuard\n\ndef is_string_list(val: list[object]) -> TypeGuard[list[str]]:\n    return all(isinstance(x, str) for x in val)\n\ndef process(items: list[object]) -> None:\n    if is_string_list(items):\n        # items is now list[str]\n        print(\", \".join(items))\n```\n\n## Literal and Final\n\n```python\nfrom typing import Literal, Final\n\nMode = Literal[\"read\", \"write\", \"append\"]\n\ndef open_file(path: str, mode: Mode) -> None:\n    pass\n\n# Constants\nMAX_SIZE: Final = 1024\nAPI_VERSION: Final[str] = \"v2\"\n```\n\n## Quick Reference\n\n| Type | Use Case |\n|------|----------|\n| `X \\| None` | Optional value |\n| `list[T]` | Homogeneous list |\n| `dict[K, V]` | Dictionary |\n| `Callable[[Args], Ret]` | Function type |\n| `TypeVar(\"T\")` | Generic parameter |\n| `Protocol` | Structural typing |\n| `TypedDict` | Dict with fixed keys |\n| `Literal[\"a\", \"b\"]` | Specific values only |\n| `Final` | Cannot be reassigned |\n\n## Type Checker Commands\n\n```bash\n# mypy\nmypy src\u002F --strict\n\n# pyright\npyright src\u002F\n\n# In pyproject.toml\n[tool.mypy]\nstrict = true\npython_version = \"3.11\"\n```\n\n## Additional Resources\n\n- `.\u002Freferences\u002Fgenerics-advanced.md` - TypeVar, ParamSpec, TypeVarTuple\n- `.\u002Freferences\u002Fprotocols-patterns.md` - Structural typing, runtime protocols\n- `.\u002Freferences\u002Ftype-narrowing.md` - Guards, isinstance, assert\n- `.\u002Freferences\u002Fmypy-config.md` - mypy\u002Fpyright configuration\n- `.\u002Freferences\u002Fruntime-validation.md` - Pydantic v2, typeguard, beartype\n- `.\u002Freferences\u002Foverloads.md` - @overload decorator patterns\n\n## Scripts\n\n- `.\u002Fscripts\u002Fcheck-types.sh` - Run type checkers with common options\n\n## Assets\n\n- `.\u002Fassets\u002Fpyproject-typing.toml` - Recommended mypy\u002Fpyright config\n\n---\n\n## See Also\n\nThis is a **foundation skill** with no prerequisites.\n\n**Related Skills:**\n- `python-pytest-patterns` - Type-safe fixtures and mocking\n\n**Build on this skill:**\n- `python-async-patterns` - Async type annotations\n- `python-fastapi-patterns` - Pydantic models and validation\n- `python-database-patterns` - SQLAlchemy type annotations\n",{"name":5,"depends-on":42,"description":7,"allowed-tools":43,"compatibility":44,"related-skills":45},[],"Read Write","Python 3.10+ (uses union syntax X | Y). 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Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative editors, whiteboards, video editing. Activate on \"real-time collaboration\", \"WebSocket sync\", \"multiplayer editing\", \"CRDT\", \"presence awareness\". NOT for simple chat, request-response APIs, or single-user apps.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--real-time-collaboration-engine\u002FSKILL.md",[],[162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181],"time","real time collaboration engine","real time collaboration","collaboration","engine","real time","Video","reliability","video editing","performance","conflict resolution","presence","access","apps","updates","Bash","activate","optimizer","react","streaming",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":191,"publishedAt":37},"01M71HXP6CTY4KFN0QVMMN0V7J","react-performance-optimizer","Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on \"React performance\", \"slow render\", \"useMemo\", \"bundle size\", \"virtualization\". NOT for backend optimization, non-React frameworks, or premature optimization.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--react-performance-optimizer\u002FSKILL.md",[188],{"categoryNo":189,"categoryName":190,"taxonomyType":116,"taxonomyTypeDesc":117},"01JBSEEDCAT000000000000009","前端开发",[171,192,179,180,193,194,195,196,197,198,162,199,200,175,177,201,178,181,202,203],"react performance optimizer","react performance","performance optimizer","app","nextjs","expert","re","render","2025","code","router","strategies",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":208,"categories":209,"keywords":211,"publishedAt":37},"01M71HXH7QXSQB4QTDZ7SP7YXQ","llm-streaming-response-handler","Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. 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