Implement DomainLang features end-to-end with TypeScript and Langium code.
npx skills add https://github.com/DomainLang/DomainLang --skill lead-engineer
Please help me install this Agent Skill. Skill: lead-engineer Source: https://github.com/DomainLang/DomainLang/tree/main/.github/skills/lead-engineer Command: npx skills add https://github.com/DomainLang/DomainLang --skill lead-engineer
This Skill defines the role and expectations for a Lead Engineer in DomainLang, a senior implementer who writes production quality code and ensures technical excellence. It bridges the gap between design vision and working software, guiding teams to deliver robust features.
Start by selecting a feature, implement it end-to-end following the three-layer design flow, run lint, tests, and reviews, and document your decisions.
High-intent search queries and answers about installing and using this skill.
To implement Langium features end-to-end, write production-grade TypeScript code for validators, LSP features, and CLI tools, then execute langium:generate, lint, and tests to ensure maintainability and quality.
Langium code review and feature delivery involves driving PR reviews, enforcing linting and testing workflows, documenting architecture decisions via ADRs, and collaborating with Language Designers and Architects to align design with working software.
LSP feature development with Langium involves writing TypeScript code to define language validators and server capabilities, ensuring performance and maintainability while adhering to conventional-commit workflows and governance.
Yes, you can use this Skill for TypeScript performance optimization in DomainLang, as it guides engineers to maintain high-quality reviews, ensure performance, and execute appropriate ADRs during feature implementation.
Yes, conventional-commit workflows are required for Langium CLI tool development to maintain technical excellence, ensure code quality, and facilitate proper reviews and documentation alongside linting and testing.
You need to write ADRs for Langium architecture decisions when implementing features end-to-end, collaborating with Software Architects, and driving governance to bridge the gap between design vision and working software.
korallisConfigure ESLint, Prettier, and Husky to enforce coding standards.
espensevValidate code changes against the planning contract and run tests.
milady-aiOrchestrates an 8-stage AI agent pipeline for complete feature development from idea to documentation.
eclipse-langiumExplains Langium-based DSL tooling grammar-to-LSP integration and debugging workflows.
