mise-configurator
Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.
What this skill does
# 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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