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DomainLang
GitHub 제작자 프로필

DomainLang

1개 GitHub 저장소에서 수집된 8개 skills를 저장소 단위로 보여줍니다.

수집된 skills
8
저장소
1
업데이트
2026-04-18
저장소 지도

skills가 있는 위치

수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.

저장소 탐색

저장소와 대표 skills

language-expert
소프트웨어 개발자

Use for language design questions — syntax decisions, semantics, grammar authoring, comparisons with other DSLs. Activate when designing new language features, evaluating syntax alternatives, or discussing DDD pattern representation.

2026-04-18
lead-engineer
소프트웨어 개발자

Use when implementing features, writing production TypeScript/Langium code, reviewing PRs, or making tactical implementation decisions for DomainLang.

2026-04-18
site-maintainer
웹 개발자

Use for documentation website tasks — VitePress pages, navigation, deployment, and user-facing docs at domainlang.net (source in /site/).

2026-04-18
software-architect
소프트웨어 개발자

Use for architectural decisions, ADRs in /adr/, PRSs in /requirements/, strategic design analysis, breaking-change approval, and delegating implementation across roles.

2026-04-18
technical-writer
기술 작가

Use for documentation tasks including JSDoc, grammar comments, READMEs, ADR/PRS prose, error message UX, and consistency review. For public docs in /site, pair with site-maintainer.

2026-04-18
tester
소프트웨어 품질 보증 분석가·테스터

Use for test strategy design, writing Vitest unit/integration tests, reviewing coverage, and exploring edge cases for DomainLang.

2026-04-18
domainlang
컴퓨터 시스템 분석가

Write Domain-Driven Design architecture models using DomainLang (.dlang files). Covers domains, bounded contexts, context maps, teams, classifications, terminology, relationships, namespaces, and imports. Use when creating DDD models, mapping bounded context relationships, documenting ubiquitous language, or generating .dlang files for strategic design.

2026-04-18
critical-code-reviewer
소프트웨어 품질 보증 분석가·테스터

Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.

2026-04-02
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