a-tokyo
출처를 확인한 실질적인 문서가 있는 Skill 2개입니다. 카드를 열어 원문, 패키지 구성과 설치 방법을 확인하세요.
a-tokyoapp-ai-guardrails
- Scaffold a new production application with the full agentic-AI guardrail canon baked in from commit 1: a uniform 7-gate interface (lint, typecheck, test, coverage, build, e2e, audit) on each stack's native runner, strict types, maximal static analysis, coverage thresholds with teeth plus seed tests, pre-commit hooks, hardened CI with optional SonarCloud, supply-chain pinning, and an agent-ready AGENTS.md — every gate verified green before the first commit. Native adapters: Next.js, NestJS, Dja
- 1시간 설치 수
- 1
- GitHub Stars
- 15
- 업데이트
- 8월 6일
a-tokyoproduction-grade
Principle-engineering posture for production-grade code: reads the repo first, plans before code, matches conventions, pulls latest docs over training recall, and ships the simplest correct change that holds the bar — proper algorithms and data structures, idempotent writes, schema+queries+indexes as one artefact, typed errors, tests in the same diff. Substrate-agnostic; defers to peer skills on their lanes. Use for non-trivial planning, design, implementation, review, or refactoring; RCA and de
- 1시간 설치 수
- 1
- GitHub Stars
- 17
- 업데이트
- 8월 6일