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Zig Docs

Organization
aiskillstore
zig-docs

Fetches Zig language and standard library documentation via CLI. Activates when needing Zig API details, std lib function signatures, or language reference content that isn't covered in zig-best-practices.

Overview

Publisheraiskillstore
Repositorymarketplace
Skill namezig-docs
Stars
427
Forks
45
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aiskillstore on GitHub. Read the source before you install it.

Installation

Install the Zig Docs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aiskillstore/marketplace.git /tmp/marketplace
mkdir -p .claude/skills
cp -r /tmp/marketplace/skills/0xbigboss/zig-docs .claude/skills/zig-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zig Docs in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Zig Docs on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Zig Docs is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Zig Documentation Fetching

Instructions

  • Use raw GitHub sources for std lib documentation (most reliable)
  • Use pandoc for language reference from ziglang.org (works for prose content)
  • The std lib HTML docs at ziglang.org are JavaScript-rendered and return empty content; avoid them
  • Zig source files contain doc comments (//! for module docs, /// for item docs) that serve as authoritative documentation

Quick Reference

Fetch Standard Library Source (Recommended)

Standard library modules are self-documenting. Fetch source directly:

bash
# Module source with doc comments
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/<module>.zig"

# Common modules:
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/log.zig"
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/mem.zig"
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/fs.zig"
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/heap.zig"
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/debug.zig"
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/testing.zig"

Fetch Allocator Interface

bash
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/mem/Allocator.zig"

Fetch Language Reference (Prose)

bash
# Full language reference (large, ~500KB of text)
pandoc -f html -t plain "https://ziglang.org/documentation/master/"

# Pipe to head for specific sections
pandoc -f html -t plain "https://ziglang.org/documentation/master/" | head -200

List Standard Library Contents

bash
# List all std lib modules via GitHub API
curl -sL "https://api.github.com/repos/ziglang/zig/contents/lib/std" | jq -r '.[].name'

# List subdirectory contents
curl -sL "https://api.github.com/repos/ziglang/zig/contents/lib/std/mem" | jq -r '.[].name'

Fetch zig.guide Content

bash
# Landing page and navigation
pandoc -f html -t plain "https://zig.guide/"

Documentation Sources

SourceURL PatternNotes
Std lib sourceraw.githubusercontent.com/ziglang/zig/master/lib/std/<path>Most reliable; includes doc comments
Language referenceziglang.org/documentation/master/Use pandoc; prose content
zig.guidezig.guide/Beginner-friendly; use pandoc
GitHub APIapi.github.com/repos/ziglang/zig/contents/lib/stdList directory contents

Common Module Paths

ModulePath
Allocatorlib/std/mem/Allocator.zig
ArrayListlib/std/array_list.zig
HashMaplib/std/hash_map.zig
StringHashMaplib/std/hash/map.zig
File Systemlib/std/fs.zig
Filelib/std/fs/File.zig
IOlib/std/Io.zig
Logginglib/std/log.zig
Testinglib/std/testing.zig
Debuglib/std/debug.zig
Heaplib/std/heap.zig
Build Systemlib/std/Build.zig
JSONlib/std/json.zig
HTTPlib/std/http.zig
Threadlib/std/Thread.zig
Processlib/std/process.zig

Version-Specific Documentation

Replace master with version tag for stable releases:

bash
# 0.14.0 release
curl -sL "https://raw.githubusercontent.com/ziglang/zig/0.14.0/lib/std/log.zig"

# Language reference for specific version
pandoc -f html -t plain "https://ziglang.org/documentation/0.14.0/"

Searching Documentation

Search for specific function/type in std lib

bash
# Search for function name across std lib
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/<module>.zig" | grep -A5 "pub fn <name>"

# Example: find allocator.create
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/mem/Allocator.zig" | grep -A10 "pub fn create"

Extract doc comments

bash
# Module-level docs (//!)
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/log.zig" | grep "^//!"

# Function/type docs (///)
curl -sL "https://raw.githubusercontent.com/ziglang/zig/master/lib/std/mem/Allocator.zig" | grep -B1 "pub fn" | grep "///"

Troubleshooting

Empty content from ziglang.org/documentation/master/std/:

  • The std lib HTML docs are JavaScript-rendered; use raw GitHub instead

pandoc fails:

  • Some pages require JavaScript; fall back to curl + raw GitHub
  • Check URL is correct (no trailing slash issues)

Rate limiting on GitHub API:

  • Use raw.githubusercontent.com URLs directly instead of API
  • Cache frequently accessed content locally

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Zig Docs AI skill do?

Fetches Zig language and standard library documentation via CLI. Activates when needing Zig API details, std lib function signatures, or language reference content that isn't covered in zig-best-practices.

Why use Zig Docs on TypingMind?

Because you install it once and use it with any model. Zig Docs is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Zig Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiskillstore/marketplace/tree/main/skills/0xbigboss/zig-docs. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Zig Docs?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Zig Docs?

As many as you like. As long as a model supports skills, you can use Zig Docs with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Zig Docs AI skill free?

It is published on GitHub by aiskillstore. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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