/pave-env

PavePlatform Engineering

Sets up local development environments with devcontainer configuration, Docker Compose service definitions that match production, and one-command startup so every developer has a consistent environment from day one. Addresses the 'works on my machine' problem systematically rather than with workarounds.

Install

This skill

Install Pave Env

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install this skill

$ claude plugin install pave-env@tonone-ai

The agent

Install Pave

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Pave

$ claude plugin install pave@tonone-ai

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Full installation guide

Invoke this skill

Command|$ /pave-env

When to use

When local setup is undocumented, takes hours, or breaks consistently for new contributors. When different team members are running different dependency versions and it is causing debugging confusion. When a new engineer joins and you want them to be productive on day one without a multi-hour setup process.

Deep dive

AI Local Dev Environment Setup

'Works on my machine' is solvable. /pave-env produces devcontainer + Docker Compose + one-command startup so every developer has the same environment.

Read the article

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Builds a golden path template for a specific service type: includes project scaffolding, local dev setup with one-command startup, CI pipeline, deployment configuration, and monitoring instrumentation baked in from the start. New services created from it start correctly and consistently.

When the team creates new services frequently and …

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/pave-catalog

Builds a service catalog: inventories all services with their owners, descriptions, tech stacks, upstream and downstream dependencies, health status endpoints, and documentation links. Can be implemented in Backstage, a static site, or a structured document depending on team size and tooling.

When the team does not have a clear picture of wha…

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/pave-audit

Audits developer experience by measuring the things that slow developers down: time to first working local environment, build times at different cache states, deployment friction from commit to production, test execution speed, and time to first production deploy for a new feature. Uses DORA metrics as a framework.

When developers are slowed down by tooling but it …

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