Complete AI Training

Skill · DevOps

Mise configurator

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

Agentic Awesome SkillsAdded Sep 5, 2026

How to use it

  1. Start your plan and connect your AI once
  2. Ask for the task in your own words, or say it directly:
Use the Mise configurator skill to help me with this.

Without a connection: copy the SKILL.md below into your AI's project instructions.

SKILL.md

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