Scaffold internal CLI packages and commands for TypeScript, Rust, Go, or Python.
npx skills add https://github.com/Derek-X-Wang/skills --skill dx-harness
Please help me install this Agent Skill. Skill: dx-harness Source: https://github.com/Derek-X-Wang/skills/tree/main/dx-harness Command: npx skills add https://github.com/Derek-X-Wang/skills --skill dx-harness
DX harness helps teams standardize project tooling by guiding the creation of an internal CLI (dx) and a project-level skill that automate workflows. It reduces ad-hoc scripting and ensures AI agents can reliably invoke common operations.
Create a new dx harness in your project by following the dx harness guide and add the dx package to your repo.
High-intent search queries and answers about installing and using this skill.
You standardize developer tooling by scaffolding an internal CLI to automate monorepo workflows. This reduces ad-hoc scripting and ensures AI agents reliably invoke common operations like deployments, tests, and dev servers across projects.
An internal dx CLI is a project-level command-line interface that translates shell workflows into AI-friendly commands. It accelerates AI-assisted development by providing self-documenting outputs that allow AI agents to reliably execute standard project operations.
Yes, you can scaffold dx commands for TypeScript, Bun, Node, Rust, Go, or Python micro-tools. The harness supports scaffolding both the dx package itself and individual commands within these language environments inside a repository.
Configure a monorepo for AI-friendly outputs by adding a dx package and a project-level skill. This setup translates shell workflows into self-documenting commands and recipes that conform to architecture principles for human-AI collaboration.
Yes, the dx harness works without external dependencies. It relies on creating a project-level skill and internal dx package within your repo to standardize developer tooling, meaning no third-party packages are required to start.
xxihScaffold repository baselines and CI workflows across multiple languages.
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