What is zig-programming?

A reference and example library for the Zig programming language, including its syntax, standard library, build system, memory handling, errors, and C interoperability.

Learning Zig, writing or reviewing Zig code, debugging compilation errors, and building Zig applications.

It helps answer Zig questions while accounting for differences between Zig versions.

zig-programming — Skill by whit3rabbit

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/whit3rabbit/claude-zig-skill/zig-programming

Any agent

npx skills add whit3rabbit/claude-zig-skill --skill zig-programming

Clone the repo

git clone --depth 1 https://github.com/whit3rabbit/claude-zig-skill

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,266 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00062	$0.03266
Opus 5	$0.00031	$0.01633
Sonnet 5	$0.00012	$0.00653
Haiku 4.5	$0.00006	$0.00327

Measured 2d ago against content hash 7bc0530b6a08, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

zig-programming scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

zig-programming/SKILL.md · 304 lines

How it starts

The opening of the file, as written. The whole thing — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Zig Programming Language Skill

This skill provides expertise in Zig, a general-purpose programming language focused on robustness, optimality, and maintainability. The skill includes version-specific documentation (0.2.0 through master), automatic version detection, code templates, and comprehensive reference materials organized for progressive disclosure.

Bundled Resources
- References - Progressive disclosure documentation
- Recipes - 223 tested recipes organized by topic
- Templates - Starting points for common tasks
- Examples - Practical code samples
- Scripts - Automation tools
Workflows
Version Awareness
Best Practices

Bundled Resources

References - Progressive Loading Guide

Important: References are version-specific. Use scripts/get_references.py to get the correct reference path for the detected Zig version, or load from references/latest/ (symlink to current stable: 0.15.2).

Load documentation progressively based on task complexity. Use this decision tree:

New to Zig? Start with fundamentals in order:

references/latest/core-language.md → Basic syntax, types, operators
references/latest/control-flow.md → If, while, for, switch
references/latest/functions-errors.md → Functions and error handling
references/latest/quick-reference.md → Syntax quick lookup

Solving specific problems? Jump directly to:

Error handling → latest/functions-errors.md + latest/patterns-error-testing.md
Memory/allocators → latest/memory-management.md + latest/patterns-memory-comptime.md
Data structures → latest/arrays-slices.md, latest/structs-methods.md, latest/enums-unions.md, latest/pointers-references.md
Struct/array/enum patterns → latest/patterns-data-structures.md
Stdlib lookup → grep latest/stdlib-builtins.md (large file, 68KB)
C interop → latest/c-interop.md + latest/patterns-integration.md
Build system → latest/build-system.md + latest/patterns-integration.md

Read the full file on GitHub · 304 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago First seen · 304 lines · 62 tokens per session scan A 7bc0530b6a08

Subscribe to this mod's changes

zig-programming is a skill published in the GitHub repository whit3rabbit/claude-zig-skill (23 stars, last pushed 8mo ago), licensed MIT. It adds 62 tokens to every session and 3,266 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Languages

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

zig-programming