By jhleee
A collection of practical skills for Claude Code — critical feedback evaluation (비판적수용) and backend-to-frontend integration document generation.
This skill should be used when the user asks to "create integration docs", "generate API spec for frontend", "hand off backend to frontend", "prepare API contract for frontend team", "create API handoff document", "document backend APIs for frontend agent", "backend-frontend handoff", or when backend implementation is complete and needs to be documented for a frontend AI agent to consume. Not for standalone OpenAPI/Swagger generation or non-REST API documentation.
This skill should be used when the user asks to "evaluate this feedback", "should I accept this review comment", "is this code review valid", "review this PR feedback", "assess code review suggestions", or when code review feedback needs to be critically evaluated against objective principles before accepting or rejecting. Not for writing code reviews — only for evaluating received feedback.
A collection of practical skills for Claude Code.
피드백을 무조건 수용하거나 거부하지 않고, 객관적 원칙에 기반하여 비판적으로 수용한다.
6단계 평가 프로세스: 피드백 이해 → 코드 분석 → 원칙 평가 → 피드백 검증 → 사용자 의도 확인 → 판단 및 응답
Generate structured integration documents from backend code for frontend AI agents.
4-phase workflow: Code Discovery → User Feedback → Document Generation → Validation
claude plugin add -- jhleee/cc-useful
스킬은 Claude가 관련 컨텍스트를 감지하면 자동으로 트리거됩니다.
jhleee
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npx claudepluginhub jhleee/cc-useful --plugin cc-usefulLangGraph 7-layer agent architecture skill — scaffolding, tools, subgraphs, nodes, prompt versioning, and dependency linting for StateGraph projects
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Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.