AppsVortex

Arness — DevOps skill for Claude Code

DevOps community

Structured AI workflows for Claude Code — from first idea to production deploy.

How to install Arness

This entry records only its repository, not the path inside it, so there is no exact command to give. Open AppsVortex/arness and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Arness does

Structured AI workflows for Claude Code — from first idea to production deploy. Three plugins: Spark (discovery & prototyping), Code (development pipeline), Infra (infrastructure & deployment).

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README

Arness

![Arness](assets/arness.png)

[![Docs](https://img.shields.io/badge/docs-arness.appsvortex.com-7e3ff2?logo=astro&logoColor=white)](https://arness.appsvortex.com/)

Arness — H not required.

**Structured AI workflows for Claude Code. From first idea to production deploy.**

Seven entry commands. That's all you need to remember. Behind them, 138 specialist skills and agents handle the details across three independent plugins — ideation, development, and infrastructure.

Most AI coding tools help you write code faster. Arness helps you build software better. It gives your Claude Code session a structured pipeline: specs before code, plans before execution, reviews before shipping. Every stage produces a human-readable artifact that feeds the next. Nothing is hidden, nothing is locked in.

Three Plugins, One Lifecycle

Arness Spark — Where ideas come alive

![Arness Spark](assets/spark.png)

Most projects fail before the first commit — wrong problem, wrong audience, wrong architecture. Spark takes a raw idea and puts it through product discovery, stress testing, brand naming, use case writing, architecture evaluation, and interactive prototyping. By the time you write real code, you have a validated concept, a prioritized feature backlog, and a scaffolded codebase ready for development.

**Start here:** `/arn-brainstorming` | [Full guide](docs/plugins/arn-spark.md)

Arness Code — Where products get built

![Arness Code](assets/code.png)

The development pipeline that treats AI-assisted coding like engineering, not guesswork. Every feature flows through spec, plan, structure, execute, review, and ship — with three ceremony tiers (swift, standard, thorough) that scale process to match scope. A one-file fix gets a lightweight pass. A cross-cutting refactor gets phases, task dependencies, and quality gates.

**Start here:** `/arn-planning` | [Full guide](docs/plugins/arn-code.md)