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Agent Skill · 开发规范

zig-best-practices(之字形最佳实践)

zig-best-practices 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

zig-best-practices 是开发规范类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发规范类的 1,265 个 Skill 里排第 927。

总安装 333周安装 14GitHub Stars 公开资料未说明下载 116核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:zig-best-practices(之字形最佳实践)
来源仓库:https://github.com/nkootstra/skills
仓库路径:skills/zig-best-practices
安装命令:
npx skills add https://github.com/nkootstra/skills --skill zig-best-practices
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。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/nkootstra/skills --skill zig-best-practices

这个 Skill 是做什么的

开发规范类 Skill 用来统一代码风格、目录结构和评审口径,产出多为检查清单或改写建议。

zig-best-practices 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中整理仓库状态与协作事项。适用于围绕代码变更、项目进度或团队协作进行信息梳理的场景。

通过 npx skills add 命令从 GitHub 仓库安装,需确认权限与维护状态。使用前应核实是否会触发联网、命令执行或文件读写操作。建议结合原始 README 和仓库路径进一步了解具体功能与限制。

来源仓库内路径:skills/zig-best-practices

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/nkootstra/skills --skill zig-best-practices;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

zig-best-practices 怎么安装?

在终端执行 npx skills add https://github.com/nkootstra/skills --skill zig-best-practices。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

zig-best-practices 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

zig-best-practices 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

zig-best-practices 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

zig-best-practices 用的人多吗?

公开数据是累计安装 333 次,近一周安装 14 次,下载 116 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

zig-best-practices 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发规范类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发规范类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
vercel-react-best-practices

Vercel React 最佳实践 · Codex、Claude

8,490,72025,918操作浏览器MIT通过
web-design-guidelines

网页设计指南 · Codex、Claude

6,686,01625,885需要联网MIT有提醒
remotion-best-practices

Remotion 最佳实践 · Codex、Claude

6,505,6323,027操作浏览器MIT有提醒
supabase-postgres-best-practices

Supabase Postgres 最佳实践 · Codex、Claude

3,175,5232,030需要联网MIT通过
next-best-practices

Next.js 最佳实践 · Codex、Claude

1,848,240841操作浏览器MIT通过
zig-best-practices

之字形最佳实践 · 本页

333—需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Zig Best Practices

Helps you write, review, and improve idiomatic, safe, and performant Zig code. Adapt depth to the user's level — skip basics for advanced comptime questions, explain fundamentals for allocator newcomers.

How to use this skill

Read SKILL.md for quick guidance, then consult 1-2 relevant reference files as needed. Do NOT load all references at once.

Reference files — when to read each one

ReferenceRead when...
references/memory-management.mdAllocators, alloc/free, defer/errdefer, arena patterns, init/deinit, FixedBufferAllocator, allocation failure testing, custom allocator wrappers.
references/error-handling.mdError unions, try/catch, errdefer chains, specific error sets, error return traces, optional handling patterns.
references/comptime-and-generics.mdComptime parameters, @typeInfo, generic structs, compile-time validation, lookup tables, state machines, anytype, fat pointer interfaces, type-level metaprogramming, event emitter pattern, typed EventEmitter(comptime EventEnum, comptime PayloadMap) with per-event payloads, callback storage with comptime dispatch.
references/types-and-pointers.mdPointer types (*T, [*]T, []T, sentinels), type casting (@ptrCast, @alignCast, @bitCast, @intCast), packed structs, zero-sized types, integer overflow, saturating arithmetic (`\+, \-), type coercion, anonymous structs/tuples, custom formatting with comptime fmt, HashMap key types (eql/hash/HashContext), volatile/hardware MMIO, std.atomic.Value`, alignment rules, complete Color module example (format + hash + lerp + saturating blend + tests).
references/testing-and-build.mdInline tests, table-driven tests, std.testing.allocator, coverage, build.zig, build.zig.zon, dependencies, cross-compilation, WASM target (.cpu_arch =.wasm32,.os_tag =.freestanding), custom build steps, b.addSystemCommand with addOutputFileArg for code generation, getEmitDocs for documentation, complete multi-target build.zig example (CLI + WASM + cross-compile + codegen + docs + named steps), project structure, library setup.
references/stdlib-recipes.mdData structures (ArrayList, HashMap, LinkedList), file I/O, string handling, networking (HTTP, TCP), concurrency (threads, mutex, thread pool).
references/performance.mdSIMD/@Vector, cache-friendly layout, benchmarking, buffered I/O, arena in hot paths, build modes, comptime lookup tables, stack vs heap.
references/c-interop.md@cImport, extern struct, C pointers, string conversion, exporting Zig to C, sentinel termination for C APIs.
references/code-review-checklist.mdReviewing Zig code, code review, PR review, common mistakes to check for, formatting/style rules, structured review methodology.

Mandatory workflows

When writing code: completeness checklist

Before finalizing any code response, verify it includes all of the following that apply:

  1. Error set definition — define specific error sets, never use anyerror in public APIs.
  2. Build boilerplate — if a project is requested, include both build.zig AND build.zig.zon.
  3. init/deinit pair — every struct that owns resources must have both.
  4. Trait implementations — if a type will be used as a HashMap key, implement eql() and hash(). If it should be printable, implement format().
  5. Doc comments — all pub functions and types must have /// doc comments.
  6. Inline tests — include at minimum one test per public function using std.testing.allocator.
  7. Integer overflow safety — any arithmetic on bounded integers (u8, u16, etc.) must use widening, saturating operators, or explicit overflow checks. State which approach and why.

When reviewing code: structured analysis

Review code in three mandatory passes. Do NOT skip any pass.

Pass 1 — Memory Safety:

  • Every alloc has a matching free via defer
  • Every fallible path after allocation has errdefer
  • No global mutable allocators — allocators passed as parameters
  • No dangling pointers from slices into freed memory
  • No reading from undefined memory without initialization first

Pass 2 — Concurrency, Hardware, and Low-Level Safety:

  • Hardware register pointers use volatile (not regular pointers)
  • Thread-shared state uses std.atomic.Value or std.Thread.Mutex (NOT volatile)
  • @ptrCast is always paired with @alignCast — or use std.mem.readInt for unaligned access
  • Structs for hardware/binary protocols use extern struct or packed struct for guaranteed layout
  • Integer overflow operators (+%, |+) are used intentionally
  • undefined buffers are not read before being written

Pass 3 — API Design and Completeness:

  • anyerror replaced with specific error sets
  • var replaced with const wherever mutation isn't needed
  • File/network I/O uses buffered readers/writers
  • Public API has doc comments
  • Null/optional handling is safe (no unguarded .? unwrap)

When doing arithmetic on bounded integers: overflow verification

Before finalizing code that does arithmetic on u8, u16, or any bounded integer type:

  1. Write the range — what is the maximum value of each intermediate expression? (e.g., u8 * u8 max = 65025, which overflows u8 and u16 alike — needs u32.)
  2. Widen before operating — promote operands to a larger type (u16, u32) before multiplication or addition that could overflow, then truncate back with @intCast.
  3. Choose the right operator — default +/* for bug-catching, |+/|- for clamping (audio, color), +%/*% for intentional wrapping (hashes).
  4. Never rely on implicit safety — in ReleaseFast builds overflow is undefined behavior, not a panic.

When writing comptime/pointer-heavy code: verification step

Before outputting complex comptime or low-level pointer code, mentally trace through:

  1. Does every comptime block actually run at comptime? (No runtime variables in comptime context)
  2. Are @setEvalBranchQuota calls needed for large iterations?
  3. Do all pointer casts maintain alignment? (@ptrCast + @alignCast together)
  4. Are packed struct fields accessed correctly? (Cannot take address of non-byte-aligned fields)
  5. For @typeInfo(.@"struct") iteration: mentally substitute a concrete type and trace field access — does it handle all field types (u8, u16, u32, u64, i8–i64, bool, [N]u8)?
  6. For serialization/deserialization: use std.mem.readInt/std.mem.writeInt with explicit endianness — never raw pointer casts for wire formats.

Compile-check step for comptime type-safety

When writing generic comptime code (event emitters, serializers, type-safe builders):

  1. Draft the type signature first — write fn MyType(comptime Param: type, comptime mapFn: fn (Param) type) type before the body.
  2. Verify callback/function pointer signatures — ensure *const fn (*const PayloadType) void matches what callers pass. Never use anytype for stored callbacks.
  3. Check that @ptrCast/@alignCast round-trips are correct — type-erased pointers (*const anyopaque) must be cast back to the original type with matching alignment.
  4. Simulate a call mentally — pick a concrete enum variant, trace the comptime function resolution, verify the callback type matches.

Constraint checklist against anytype misuse

Before using anytype in a function signature, verify:

  • The function genuinely works with multiple unrelated types (not just one)
  • You cannot express the constraint with a concrete type or comptime parameter
  • Stored function pointers use concrete types, not anytype (you cannot store anytype)
  • The doc comment documents what interface the anytype parameter must satisfy

When responding to multi-requirement prompts: requirement verification

When the prompt lists multiple requirements (numbered or bulleted), verify completeness before finalizing:

  1. Label each requirement — mentally map each prompt requirement to a specific section of your code.
  2. Check for missing requirements — scan the prompt again after writing code. Each requirement must have corresponding code.
  3. Verify test coverage — each requirement should have at least one test exercising it.
  4. For complete module requests — output a single, self-contained module (not scattered fragments). Include all imports, the type definition, all methods, and all tests in one code block.

Quick principles

  1. Default to const. Only use var when you genuinely need mutation.
  2. Pair every allocation with deallocation via defer. Use errdefer for cleanup that should only run on error paths.
  3. Pass allocators as explicit parameters. Functions that allocate accept an Allocator — no globals, no hidden heap.
  4. Errors are values. Use specific error sets, propagate with try, handle with catch. Never silently discard errors without good reason.
  5. Use optionals (?T) for absence, not undefined. Reserve undefined for buffers you'll fill immediately.
  6. **Prefer slices ([]T) over many-item pointers ([*]T).** Convert raw pointers to slices as early as possible.
  7. Push work to comptime when it makes sense. But don't overuse anytype — if a concrete type works, use it.
  8. Write inline tests with std.testing.allocator. It catches memory leaks automatically.
  9. Run zig fmt unconditionally. No exceptions, no debates.
  10. Profile before optimizing. Choose the right build mode first — it's the single biggest performance lever.

平台分布

Codex

35.21%
按下载量换算41

Claude

28.59%
按下载量换算33

Cursor

17.95%
按下载量换算21

Gemini CLI

9.04%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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