mise-configurator

Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.

5 stars

Best use case

mise-configurator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.

Teams using mise-configurator should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mise-configurator/SKILL.md --create-dirs "https://raw.githubusercontent.com/FrancoStino/opencode-skills-collection/main/bundled-skills/mise-configurator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/mise-configurator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How mise-configurator Compares

Feature / Agentmise-configuratorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Mise Configurator

## Overview

This skill generates clean, production-ready `mise.toml` configurations for local development environments and CI/CD pipelines.

It helps standardize runtime versions, simplify onboarding, replace legacy version managers like `asdf`, `nvm`, and `pyenv`, and create reproducible multi-language environments with minimal setup effort.

## When to Use This Skill

- Use when you need to create or update a `mise.toml`
- Use when working with Node.js, Python, Go, Rust, Java, Bun, Terraform, or mixed stacks
- Use when the user asks about CI/CD runtime setup using mise
- Use when migrating from `.tool-versions`, `asdf`, `nvm`, or `pyenv`
- Use when standardizing tool versions across teams or monorepos

## How It Works

### Step 1: Detect Project Context

Inspect available repository files such as:

- `package.json`
- `pnpm-lock.yaml`
- `pyproject.toml`
- `requirements.txt`
- `go.mod`
- `Cargo.toml`
- `.tool-versions`
- `Dockerfile`
- GitHub Actions or CI files

Infer languages, package managers, and pinned versions.

### Step 2: Generate `mise.toml`

Create a minimal, valid, copy-paste-ready configuration using:

- existing pinned versions when found
- explicit user-provided target versions when absent
- practical defaults for developer productivity
- concrete pinned versions in shared production configs

### Step 3: Add Bootstrap Commands

Provide setup commands such as:

```bash
mise trust
mise install
```

### Step 4: Generate CI/CD Integration

If requested, generate pipeline examples using mise with caching and runtime installation.

## Examples

### Example 1: Node.js + pnpm Project

```toml
[tools]
node = "22.11.0"
pnpm = "9.15.0"
```

### Example 2: Python + GitHub Actions

```toml
[tools]
python = "3.12.7"
poetry = "1.8.4"
```

```yaml
steps:
  - uses: actions/checkout@v4
  - uses: jdx/mise-action@v2
  - run: poetry install
  - run: pytest
```

## Best Practices

- ✅ Respect versions already pinned in the repository
    
- ✅ Keep configs minimal and readable
    
- ✅ Prefer stable runtime releases
    
- ✅ Generate CI examples with caching

- ✅ Ask for target versions before pinning when the repository does not already declare them

- ❌ Do not use floating `latest` or `lts` aliases in shared production configs unless explicitly requested
    
- ❌ Do not over-engineer unnecessary tool entries
    
- ❌ Do not ignore existing lockfiles or version files
    

## Limitations

- This skill does not replace environment-specific validation, testing, or expert review.
    
- Stop and ask for clarification if required inputs, permissions, or safety boundaries are missing.
    
- Runtime availability may vary by OS, shell, or CI platform.
    
- Some plugins or niche tools may require manual adjustment.
    

## Security & Safety Notes

- Review generated shell commands before execution.
    
- Confirm CI/CD permissions before modifying pipelines.
    
- Validate runtime versions against production requirements.
    
- Use only in authorized repositories and environments.
    

## Common Pitfalls

- **Problem:** Wrong runtime version selected  
    **Solution:** Check repository lockfiles and pinned versions first.
    
- **Problem:** CI installs are slow  
    **Solution:** Enable cache layers and reuse mise cache directories.
    
- **Problem:** Tool missing from registry  
    **Solution:** Verify plugin support or install manually.
    

## Related Skills

- `@docker-expert` - Use when building containerized development environments
    
- `@github-actions-templates` - Use for advanced workflow automation
    
- `@monorepo-architect` - Use for large multi-package repositories

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