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nim-metaprogrammingnim 元编程

Agent Skill

nim-metaprogramming 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

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来源可访问

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通过对话安装

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请帮我安装这个 Agent Skill:nim-metaprogramming(nim 元编程)
来源仓库:https://github.com/thebushidocollective/han
仓库路径:skills/nim-metaprogramming
安装命令:
npx skills add https://github.com/thebushidocollective/han --skill 'Nim Metaprogramming'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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skills.shnpx skills
npx skills add https://github.com/thebushidocollective/han --skill 'Nim Metaprogramming'

简介

用于查找 Nim 元编程相关的技术资料和最佳实践。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位信息。
  • 可配合来源仓库和 README 核验具体内容,但需注意权限范围。
  • 安装方式:通过 npx 从 GitHub 仓库添加,建议先确认网络访问权限。
  • 注意:搜索结果的真实性需人工复核,避免依赖过时资料。

SKILL.md

Nim Metaprogramming

Introduction

Nim's metaprogramming system provides powerful compile-time code generation and manipulation through templates, macros, and compile-time evaluation. This enables zero-overhead abstractions, domain-specific languages, and optimizations performed at compile time rather than runtime.

The system operates on Nim's abstract syntax tree (AST), allowing inspection and transformation of code structure. Templates provide hygienic macro-like substitution, while macros enable full AST manipulation. Compile-time evaluation executes Nim code during compilation for constant folding and validation.

This skill covers templates for code substitution, macros for AST transformation, compile-time evaluation with static blocks, AST inspection and manipulation, code generation patterns, DSL creation, and metaprogramming best practices.

Templates

Templates provide hygienic code substitution with type safety and inline expansion.

# Basic template
template max(a, b: untyped): untyped =
  if a > b: a else: b

echo max(5, 10)  # Expands inline

# Template with multiple statements
template withFile(filename: string, body: untyped): untyped =
  let file = open(filename, fmRead)
  try:
    body
  finally:
    file.close()

withFile("data.txt"):
  for line in file.lines:
    echo line

# Template with inject
template defineProperty(name: untyped, typ: typedesc): untyped =
  var `name Value`: typ

  proc `get name`(): typ {.inject.} =
    `name Value`

  proc `set name`(value: typ) {.inject.} =
    `name Value` = value

defineProperty(age, int)
setAge(30)
echo getAge()  # 30

# Template accepting block
template benchmark(name: string, code: untyped): untyped =
  let start = cpuTime()
  code
  let elapsed = cpuTime() - start
  echo name, ": ", elapsed, " seconds"

benchmark "computation":
  var sum = 0
  for i in 1..1000000:
    sum += i

# Template with typed parameters
template swap(a, b: typed): untyped =
  let tmp = a
  a = b
  b = tmp

var x = 5
var y = 10
swap(x, y)
echo x, " ", y  # 10 5

# Template for DSL
template html(body: untyped): string =
  var result = ""
  template tag(name: string, content: untyped): untyped =
    result.add "<" & name & ">"
    content
    result.add "</" & name & ">"

  body
  result

let page = html:
  tag "html":
    tag "body":
      tag "h1":
        result.add "Hello World"

# Template with generic constraints
template findMax[T: Ordinal](items: openArray[T]): T =
  var maxVal = items[0]
  for item in items:
    if item > maxVal:
      maxVal = item
  maxVal

echo findMax([1, 5, 3, 9, 2])

# Template forwarding
template forward(call: untyped): untyped =
  echo "Before call"
  call
  echo "After call"

proc myProc() =
  echo "Inside proc"

forward myProc()

# Template for custom operators
template `~=`(a, b: float): bool =
  abs(a - b) < 0.0001

echo 1.0 ~= 1.00001  # true

# Template with immediate parameter
template log(msg: string): untyped =
  when defined(debug):
    echo "[LOG] ", msg

log "Debug message"  # Only in debug builds

Templates provide compile-time code substitution with hygiene and type safety.

Macros and AST Manipulation

Macros transform AST at compile time, enabling powerful code generation and domain-specific languages.

import macros

# Basic macro
macro debug(n: varargs[typed]): untyped =
  result = newStmtList()
  for arg in n:
    result.add quote do:
      echo astToStr(`arg`), " = ", `arg`

let x = 5
let y = 10
debug x, y, x + y

# Macro examining AST
macro inspect(node: untyped): untyped =
  echo node.treeRepr
  result = node

inspect:
  let x = 5 + 3

# Building AST manually
macro makeProc(name: untyped, body: untyped): untyped =
  result = newProc(
    name = name,
    params = [newEmptyNode()],
    body = body
  )

makeProc greet:
  echo "Hello!"

greet()

# Macro for property generation
macro property(name: untyped, typ: typedesc): untyped =
  let
    fieldName = ident($name & "Field")
    getName = ident("get" & $name)
    setName = ident("set" & $name)

  result = quote do:
    var `fieldName`: `typ`

    proc `getName`(): `typ` =
      `fieldName`

    proc `setName`(value: `typ`) =
      `fieldName` = value

property(count, int)
setCount(42)
echo getCount()

# Case statement macro
macro switch(value: typed, branches: varargs[untyped]): untyped =
  result = nnkCaseStmt.newTree(value)

  for branch in branches:
    expectKind(branch, nnkCall)
    let pattern = branch[0]
    let body = branch[1]
    result.add nnkOfBranch.newTree(pattern, body)

switch(5):
  1: echo "one"
  2: echo "two"
  5: echo "five"

# Builder pattern macro
macro build(typ: typedesc, fields: varargs[untyped]): untyped =
  result = nnkObjConstr.newTree(typ)

  for field in fields:
    expectKind(field, nnkExprEqExpr)
    result.add field

type Person = object
  name: string
  age: int

let p = build(Person, name = "Alice", age = 30)

# Compile-time assertion macro
macro staticAssert(condition: bool, message: string): untyped =
  if not condition.boolVal:
    error(message.strVal)
  result = newEmptyNode()

staticAssert sizeof(int) >= 4, "int must be at least 4 bytes"

# Unrolling loop macro
macro unroll(count: static[int], body: untyped): untyped =
  result = newStmtList()
  for i in 0..<count:
    let iNode = newLit(i)
    result.add body.replace(ident("it"), iNode)

unroll 5:
  echo "Iteration: ", it

# Pattern matching macro
macro match(value: typed, patterns: varargs[untyped]): untyped =
  result = nnkIfStmt.newTree()

  for pattern in patterns:
    expectMinLen(pattern, 2)
    let condition = pattern[0]
    let body = pattern[1]

    let check = quote do:
      `value` == `condition`

    result.add nnkElifBranch.newTree(check, body)

Macros enable compile-time code transformation and generation through AST manipulation.

Compile-Time Evaluation

Nim executes code at compile time for constants, optimizations, and validations.

# Compile-time constants
const maxSize = 100
const computed = maxSize * 2 + 10  # Evaluated at compile time

# Compile-time function evaluation
proc factorial(n: int): int =
  if n <= 1: 1 else: n * factorial(n - 1)

const fact10 = factorial(10)  # Computed at compile time

# Static block
static:
  echo "This runs at compile time"
  echo "Factorial of 10 is: ", factorial(10)

# Compile-time type information
proc sizeInfo[T](x: T): string =
  static:
    "Size of " & $T & " is " & $sizeof(T) & " bytes"

echo sizeInfo(5)
echo sizeInfo(5.0)

# Compile-time conditional compilation
when sizeof(int) == 8:
  proc printSize() = echo "64-bit platform"
else:
  proc printSize() = echo "32-bit platform"

# Compile-time string operations
const
  version = "1.0.0"
  parts = version.split('.')
  major = parts[0].parseInt

when major >= 1:
  echo "Version 1.0 or later"

# Compile-time file reading
const configData = staticRead("config.txt")

proc getConfig(): string =
  configData

# Compile-time HTTP requests (with stdlib)
const apiResponse = staticExec("curl -s https://api.example.com/data")

# Compile-time code generation
proc generateAccessors(fields: seq[string]): string =
  result = ""
  for field in fields:
    result.add &"""
      proc get{field.capitalizeAscii}(): int = {field}
      proc set{field.capitalizeAscii}(val: int) = {field} = val
    """

const accessors = generateAccessors(@["x", "y", "z"])

# Static parameter constraints
proc processArray[T; N: static[int]](arr: array[N, T]) =
  static:
    echo "Array size: ", N
  for item in arr:
    echo item

processArray([1, 2, 3, 4, 5])

# Compile-time assertions
static:
  doAssert sizeof(int) >= 4, "int too small"
  doAssert sizeof(ptr) == sizeof(int), "pointer size mismatch"

# Compile-time regex compilation
import re

const emailPattern = re"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}"

proc validateEmail(email: string): bool =
  email.match(emailPattern)

# Compile-time validation
proc validateConfig() =
  static:
    when not fileExists("config.txt"):
      {.fatal: "config.txt not found".}

# Compile-time optimization
proc optimizedPower(base: float, exp: static[int]): float =
  when exp == 0:
    1.0
  elif exp == 1:
    base
  elif exp mod 2 == 0:
    let half = optimizedPower(base, exp div 2)
    half * half
  else:
    base * optimizedPower(base, exp - 1)

echo optimizedPower(2.0, 10)

Compile-time evaluation enables zero-runtime-cost abstractions and build-time validations.

DSL Creation

Nim's metaprogramming enables creating domain-specific languages with natural syntax.

# HTML DSL
macro html(body: untyped): string =
  proc processNode(node: NimNode): NimNode =
    case node.kind
    of nnkCall, nnkCommand:
      let tag = node[0]
      let attrs = newSeq[NimNode]()
      var content = newStmtList()

      for i in 1..<node.len:
        if node[i].kind == nnkExprEqExpr:
          attrs.add node[i]
        else:
          content.add processNode(node[i])

      result = quote do:
        result.add "<" & `tag`.astToStr & ">"
        `content`
        result.add "</" & `tag`.astToStr & ">"
    of nnkStrLit:
      result = quote do:
        result.add `node`
    else:
      result = newStmtList()

  result = quote do:
    var result = ""
    `processNode(body)`
    result

let page = html:
  html:
    head:
      title: "My Page"
    body:
      h1: "Welcome"
      p: "Hello World"

# SQL DSL
macro select(fields: varargs[untyped]): string =
  var fieldList = ""
  for i, field in fields:
    if i > 0: fieldList.add ", "
    fieldList.add $field

  result = newLit("SELECT " & fieldList)

macro fromTable(table: untyped): string =
  newLit(" FROM " & $table)

let query = select(name, age) & fromTable(users)

# Test DSL
macro describe(name: string, tests: untyped): untyped =
  result = newStmtList()

  for test in tests:
    if test.kind == nnkCall and $test[0] == "it":
      let testName = test[1]
      let testBody = test[2]

      result.add quote do:
        echo "Testing: ", `testName`
        try:
          `testBody`
          echo "  ✓ Passed"
        except:
          echo "  ✗ Failed"

describe "Math operations":
  it "adds numbers":
    doAssert 1 + 1 == 2

  it "multiplies numbers":
    doAssert 2 * 3 == 6

# Configuration DSL
macro config(body: untyped): untyped =
  result = nnkObjConstr.newTree(ident("Config"))

  for stmt in body:
    if stmt.kind == nnkCall:
      let key = stmt[0]
      let value = stmt[1]
      result.add nnkExprColonExpr.newTree(key, value)

type Config = object
  host: string
  port: int
  debug: bool

let cfg = config:
  host("localhost")
  port(8080)
  debug(true)

# Builder DSL
macro builder(typ: typedesc, body: untyped): untyped =
  var assignments = newStmtList()

  for stmt in body:
    if stmt.kind == nnkCall:
      let field = stmt[0]
      let value = stmt[1]
      assignments.add quote do:
        result.`field` = `value`

  result = quote do:
    var result: `typ`
    `assignments`
    result

type Request = object
  url: string
  method: string
  headers: seq[string]

let req = builder(Request):
  url("https://api.example.com")
  method("GET")

DSLs enable domain-specific notation within Nim while maintaining type safety.

Code Generation Patterns

Metaprogramming enables automated code generation from specifications or runtime data.

# Generate enum from compile-time list
macro generateEnum(name: untyped, values: static[seq[string]]): untyped =
  result = nnkTypeSection.newTree(
    nnkTypeDef.newTree(
      name,
      newEmptyNode(),
      nnkEnumTy.newTree(newEmptyNode())
    )
  )

  for value in values:
    result[0][2].add ident(value)

generateEnum(Color, @["Red", "Green", "Blue"])

# Generate getters/setters
macro generateAccessors(typ: typedesc): untyped =
  let impl = typ.getImpl
  result = newStmtList()

  for field in impl[2][2]:
    let fieldName = field[0]
    let fieldType = field[1]

    let getter = ident("get" & ($fieldName).capitalizeAscii)
    let setter = ident("set" & ($fieldName).capitalizeAscii)

    result.add quote do:
      proc `getter`(obj: `typ`): `fieldType` =
        obj.`fieldName`

      proc `setter`(obj: var `typ`, value: `fieldType`) =
        obj.`fieldName` = value

type Person = object
  name: string
  age: int

generateAccessors(Person)

# Generate pattern matching
macro matchGen(value: typed, patterns: varargs[untyped]): untyped =
  result = nnkCaseStmt.newTree(value)

  for pattern in patterns:
    let condition = pattern[0]
    let body = pattern[1]
    result.add nnkOfBranch.newTree(condition, body)

# Generate state machine
macro stateMachine(states: varargs[untyped]): untyped =
  var stateEnum = nnkEnumTy.newTree(newEmptyNode())

  for state in states:
    stateEnum.add ident($state)

  result = nnkTypeSection.newTree(
    nnkTypeDef.newTree(
      ident("State"),
      newEmptyNode(),
      stateEnum
    )
  )

stateMachine Idle, Running, Stopped

# Generate serialization
macro deriveJson(typ: typedesc): untyped =
  result = newStmtList()

  # Generate toJson proc
  result.add quote do:
    proc toJson(obj: `typ`): JsonNode =
      result = newJObject()
      # Add fields...

# Generate validators
macro validate(typ: typedesc, rules: untyped): untyped =
  result = quote do:
    proc validate(obj: `typ`): bool =
      # Generated validation logic
      true

Code generation reduces boilerplate and ensures consistency across similar implementations.

Best Practices

  1. Use templates for simple substitutions to avoid macro complexity when AST manipulation isn't needed
  2. Prefer typed macro parameters over untyped when possible for better type checking
  3. Test macros thoroughly as compile-time errors are harder to debug than runtime errors
  4. Document macro usage with examples since expanded code isn't visible to users
  5. Use quote do for AST generation to write natural Nim code instead of manual AST construction
  6. Leverage compile-time evaluation for validations and optimizations without runtime cost
  7. Keep macros focused on single responsibilities for maintainability
  8. Use static blocks for compile-time side effects like logging or validation
  9. Provide error messages in macros using error() for clear compile-time failures
  10. Test macro expansions by examining generated code with dumpTree or expandMacros

Common Pitfalls

  1. Overusing macros for problems solvable with templates adds unnecessary complexity
  2. Not handling AST node kinds properly causes compilation failures on unexpected input
  3. Forgetting hygiene in templates can capture unintended identifiers from calling scope
  4. Creating overly complex macros makes code hard to understand and maintain
  5. Not validating macro inputs leads to confusing error messages at macro expansion
  6. Mixing runtime and compile-time code without static blocks causes errors
  7. Assuming AST structure without checking node kinds breaks on different inputs
  8. Not using result variable in templates returns last statement unexpectedly
  9. Creating DSLs that are too magical reduces code readability and maintainability
  10. Forgetting to return nodes from macros causes empty code generation

When to Use This Skill

Apply templates for zero-overhead abstractions replacing repetitive patterns.

Use macros when transforming or generating code based on compile-time information.

Leverage compile-time evaluation for constants, validations, and build-time optimizations.

Create DSLs for domain-specific problems requiring specialized notation.

Generate code for boilerplate like serialization, getters, or pattern matching.

Use metaprogramming for performance-critical abstractions with zero runtime cost.

Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

30.72%
按下载量换算618

Codex

21.58%
按下载量换算434

Claude Code

18.37%
按下载量换算369

windsurf

13.64%
按下载量换算274

Cursor

7.83%
按下载量换算157

Antigravity

3.42%
按下载量换算69

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权限和风险

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