Agent skill

Mise Configurator

by sickn33 in sickn33/agentic-awesome-skills

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

MITAuto-check passedDevOps & Cloud

Install Mise Configurator

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill mise-configurator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills mise-configurator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mise-configurator .claude/skills/mise-configurator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mise-configurator
GitHub stars
47k
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
407 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: Detect Project Context → Generate mise.toml → Add Bootstrap Commands → …
  • Tasks that involve CI/CD
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 5 more sections
  • Calls mise

What it does

Mise Configurator is an agent skill from sickn33/agentic-awesome-skills. Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering CI/CD. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve CI/CD

Example prompts

  • “/mise-configurator”

Requirements

  • Python 3
  • Node.js
  • Docker

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Detect Project Context
  2. Generate mise.toml
  3. Add Bootstrap Commands
  4. Generate CI/CD Integration

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • mise

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mise Configurator loads about 1k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 407 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 407 words, ~1,007 tokens.

Download SKILL.mdSave it as .claude/skills/mise-configurator/SKILL.md (or your agent's skills folder).
name
mise-configurator
description
Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization.
category
devops
risk
safe
source
self
source_type
self
date_added
2026-04-16
author
community
tags
mise, devops, ci-cd, toolchain, runtimes, automation
tools
claude, cursor, gemini

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

Show full SKILL.md (135 more words)Show less

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.

  • @docker-expert - Use when building containerized development environments

  • @github-actions-templates - Use for advanced workflow automation

  • @monorepo-architect - Use for large multi-package repositories

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/mise-configurator of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Mise Configurator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mise Configurator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mise Configurator this skillsickn33/agentic-awesome-skills47k1 repos~1kAutomated safety check: PassMIT
Monitor CInrwl/nx29k6 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw36k6 repos~4.2kAutomated safety check: PassApache-2.0
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence
Azure Pipelines Log Downloaderansible/ansible71k—~825Automated safety check: PassGPL-3.0
GitHub Actions Templatesbartstc/vite-ts-react-template12214 repos~1.9kAutomated safety check: PassMIT

Similar skills

  • Monitor CI

    nrwl/nx

    Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.

    29k GitHub starsUsed in 6 repos~4.7k tokens
    DevOps & CloudAuto-check passed
  • Terraform and OpenTofu Guide

    agentscope-ai/QwenPaw

    Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.

    36k GitHub starsUsed in 6 repos~4.2k tokens
    DevOps & CloudAuto-check passed
  • Official

    Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.

    63k GitHub starsUsed in 1 repo~1.3k tokens
    DevOps & CloudAuto-check passed
  • Downloads Azure Pipelines CI logs for an Ansible pull request or build so the agent can analyze test failures, after asking you first.

    71k GitHub stars~825 tokensUpdated yesterday
    DevOps & CloudAuto-check passed
  • GitHub Actions Templates

    bartstc/vite-ts-react-template

    Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications.

    122 GitHub starsUsed in 14 repos~1.9k tokens
    DevOps & CloudAuto-check passed
  • Nushell

    ccusage/ccusage

    Guides ccusage Nushell scripts. An agent skill from ccusage/ccusage.

    19k GitHub stars~938 tokensUpdated today
    DevOps & CloudAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,497 skills in this repo
  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Whatsapp Cloud API

    sickn33/agentic-awesome-skills

    Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~4.5k tokens
    Auto-check passed
  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Categories

Questions about Mise Configurator

What does Mise Configurator do?

Generate production-ready mise.toml setups for local development, CI/CD pipelines, and toolchain standardization. Mise Configurator is an agent skill from sickn33/agentic-awesome-skills.toml setups for local development, CI/CD pipelines, and toolchain standardization.

When should I use Mise Configurator?

Mise Configurator fits situations like: tasks that involve CI/CD.

How do I install Mise Configurator in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill mise-configurator -a claude-code`. Or copy the skill folder (skills/mise-configurator in sickn33/agentic-awesome-skills) into .claude/skills/mise-configurator in your project. Claude Code loads it when a task matches its description.

How do I install Mise Configurator in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill mise-configurator -a codex`. Or copy the skill folder (skills/mise-configurator in sickn33/agentic-awesome-skills) into .agents/skills/mise-configurator in your project. Codex loads it when a task matches its description.

Can I use Mise Configurator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill mise-configurator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mise-configurator, .gemini/skills/mise-configurator, .github/skills/mise-configurator and .opencode/skills/mise-configurator in your project.

What does Mise Configurator need to run?

Going by SKILL.md and its folder, Mise Configurator needs the command-line tools its instructions call (mise). Our summary lists: Python 3; Node.js; Docker.

Does Mise Configurator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mise Configurator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mise Configurator use?

Mise Configurator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mise Configurator use?

About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mise Configurator?

Skills that share tags, products or a category with Mise Configurator: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 36k stars), Analyze GitHub Action Logs (withastro/astro, 63k stars) and Azure Pipelines Log Downloader (ansible/ansible, 71k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mise Configurator?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.