Mise Configurator

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

Published by @sickn33 and contributors·from sickn33/antigravity-awesome-skills·0 agent reads / 30d·0 saves·

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:

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

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

Example 2: Python + GitHub Actions

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

Bundled with this artifact

2 files

Reference files that ship alongside this artifact. Agents pull these in only when the task needs them.

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