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zig-best-practices

Use when reading or writing Zig files (.zig, build.zig, build.zig.zon).

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aiskillstore/marketplace
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포함된 파일(5)

  • SKILL.md3.3 KB
  • C-INTEROP.md2.0 KB
  • DEBUGGING.md1.6 KB
  • GENERICS.md1.7 KB
  • skill-report.json31.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Zig Best Practices

Follows type-first, functional, and error handling patterns from CLAUDE.md. This skill covers Zig-specific idioms only.

Type System Patterns

Tagged unions for mutually exclusive states — prevents invalid combinations that a struct with multiple nullable fields would allow:

const RequestState = union(enum) {
    idle,
    loading,
    success: []const u8,
    failure: anyerror,
};

Explicit error sets — documents exactly what can fail; anyerror hides failure modes:

const ParseError = error{ InvalidSyntax, UnexpectedToken, EndOfInput };
fn parse(input: []const u8) ParseError!Ast { ... }

Distinct types for domain IDs — compiler prevents mixing up different ID types:

const UserId = enum(u64) { _ };
const OrderId = enum(u64) { _ };

Comptime validation — catch invalid configurations at compile time, not runtime:

fn Buffer(comptime size: usize) type {
    if (size == 0) @compileError("buffer size must be greater than 0");
    return struct { data: [size]u8 = undefined, len: usize = 0 };
}

Memory Management

  • Pass allocators explicitly to every function that allocates; no global allocator state.
  • Place defer resource.deinit() immediately after acquisition — keeps cleanup co-located with creation.
  • Use errdefer for cleanup on error paths; defer for unconditional cleanup.
  • Use arena allocators for batch/temporary work; they free everything at once.
  • Use std.testing.allocator in tests — reports leaks with stack traces.
fn createResource(allocator: std.mem.Allocator) !*Resource {
    const resource = try allocator.create(Resource);
    errdefer allocator.destroy(resource);  // runs only on error
    resource.* = try initializeResource();
    return resource;
}

Key Conventions

  • Prefer const over var; prefer slices over raw pointers.
  • Prefer comptime T: type over anytype; explicit types produce clearer errors. Use anytype only for genuinely polymorphic cases (callbacks, std.debug.print-style).
  • Exhaustive switch: include an else returning an error or unreachable for truly impossible cases.
  • Use std.log.scoped(.module_name) for namespaced logging; define a module-level const log constant.
  • Larger cohesive files are idiomatic — tests alongside implementation, comptime generics at file scope.

Advanced Topics

  • Generic containers (queues, stacks, trees): See GENERICS.md
  • C library interop (raylib, SDL, curl): See C-INTEROP.md
  • Debugging memory leaks (GPA, stack traces): See DEBUGGING.md

Tooling

zigdoc — browse std library and dependency docs:

zigdoc std.mem.Allocator   # std lib symbol
zigdoc vaxis.Window        # project dependency
zigdoc @init               # create AGENTS.md with API patterns

ziglint — static analysis with .ziglint.zon config:

ziglint                    # lint current directory
ziglint --ignore Z001      # suppress specific rule

References

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academy-guide

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Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aiskillstore/marketplace4432026년 10월 23일 업데이트

acquisition-policy-workflow

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Trigger for: explaining current FAR, DFARS, or agency-supplement text; determining documented acquisition-policy status for an agency and FAR part; comparing codified text, RFO model text, and agency deviations; tracing acquisition rulemaking; finding procurement comment periods; analyzing public comments; refreshing prior policy analysis; or producing an Acquisition Policy Impact Brief. Use published federal sources and supplied policy documents without making legal or procurement-specific applicability determinations. Do not use for clause selection, market research execution, opportunities, pricing, grants, or cooperative agreements.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aiskillstore/marketplace4432026년 10월 23일 업데이트

action-item-organizer

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Systematic framework for extracting actionable items from documents and organizing them into prioritized, trackable checklists. Use when converting reports, meeting notes, audits, or any document with embedded action items into structured TODO lists.

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aiskillstore/marketplace4432026년 10월 23일 업데이트

agent-browser

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Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aiskillstore/marketplace4432026년 10월 23일 업데이트

agent-development

무료

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aiskillstore/marketplace4432026년 10월 23일 업데이트

agent-tools

무료

Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aiskillstore/marketplace4432026년 10월 23일 업데이트

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