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Justfile

Community
mizchi
justfile

Reference for the `just` command runner — justfile syntax and GitHub Actions integration. Use when an existing repo already has a `justfile` and tasks must be added, modified, or audited. For new mizchi-owned repos, prefer the `pkfire` skill (`Taskfile.pkl` + `pkf`) instead; justfile is kept only for compatibility with existing repos.

Overview

Publishermizchi
Repositoryskills
Skill namejustfile
Stars
333
Forks
4
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Justfile 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/mizchi/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/justfile .claude/skills/justfile
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Justfile 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 Justfile 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 Justfile 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.

justfile Skill

just is a command runner for project-specific commands. Similar to Make but simpler.

Basic Syntax

just
# Default recipe (runs when just is called without arguments)
default:
  @echo "Available: just --list"

# Basic recipe
build:
  cargo build --release

# Dependencies
test: build
  cargo test

# Arguments
greet name:
  echo "Hello, {{name}}!"

# Default arguments
serve port="8080":
  python -m http.server {{port}}

# Variadic arguments
run *args:
  cargo run -- {{args}}

Variables

just
# String
version := "1.0.0"

# Shell command result
git_hash := `git rev-parse --short HEAD`

# Environment variable with default
home := env_var_or_default("HOME", "/tmp")

# Usage
info:
  echo "Version: {{version}}, Hash: {{git_hash}}"

Settings

just
# Shell
set shell := ["bash", "-cu"]

# Load .env
set dotenv-load

# Continue on error
set ignore-errors

# Suppress command echo
set quiet

# Working directory
set working-directory := "subdir"

Conditionals

just
# OS detection
install:
  {{if os() == "macos" { "brew install foo" } else { "apt install foo" }}}

# Architecture detection
build:
  {{if arch() == "aarch64" { "make arm" } else { "make x86" }}}

Built-in Functions

FunctionDescription
os()OS name (linux, macos, windows)
arch()Architecture (x86_64, aarch64)
env_var("NAME")Get environment variable
justfile_directory()Directory containing justfile
invocation_directory()Directory where just was invoked

Common Commands

bash
just              # Run default recipe
just recipe       # Run specific recipe
just recipe arg   # Run with arguments
just --list       # List recipes
just --dry-run    # Show without running
just --choose     # Select with fzf
just --fmt        # Format justfile

GitHub Actions

Use extractions/setup-just@v4. See assets/gh_action_example.yaml for full example.

yaml
steps:
  - uses: actions/checkout@v7

  - uses: extractions/setup-just@v4
    # with:
    #   just-version: '1.58.0'  # Optional pin (latest as of 2026-09)

  - run: just build
  - run: just test

Practical Example

just
set dotenv-load
set shell := ["bash", "-cu"]

default:
  @just --list

# Dev server
dev:
  npm run dev

# Build
build:
  npm run build

# Test
test *args:
  npm test {{args}}

# Lint + format
check:
  npm run lint
  npm run format:check

# CI (called from GitHub Actions)
ci: check build test

# Release
release version:
  git tag -a v{{version}} -m "Release v{{version}}"
  git push origin v{{version}}

# Cleanup
clean:
  rm -rf dist node_modules

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 Justfile AI skill do?

Reference for the `just` command runner — justfile syntax and GitHub Actions integration. Use when an existing repo already has a `justfile` and tasks must be added, modified, or audited. For new mizchi-owned repos, prefer the `pkfire` skill (`Taskfile.pkl` + `pkf`) instead; justfile is kept only for compatibility with existing repos.

Why use Justfile on TypingMind?

Because you install it once and use it with any model. Justfile 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 Justfile in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mizchi/skills/tree/main/justfile. 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 Justfile?

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 Justfile?

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

Is the Justfile AI skill free?

It is published on GitHub by mizchi. 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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