This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Fullstack development toolkit with project scaffolding for Next.js/FastAPI/MERN/Django stacks and code quality analysis. Use when scaffolding new projects, analyzing codebase quality, or implementing fullstack architecture patterns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Fullstack development skill that scaffolds production-ready project structures (Next.js, FastAPI+React, MERN, Django+React) and runs static code quality analysis across security, complexity, dependency health, test coverage, and documentation — paired with reference guides for architecture patterns, development workflows, and stack selection.
Use this skill when you hear:
Before scaffolding, confirm these inputs. If any is unknown or vague, ASK — do not assume:
project_scaffolder positional args)project_scaffolder vs code_quality_analyzer)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
project_scaffolder.py | Scaffold a fullstack project structure with boilerplate, Docker, and env config | python scripts/project_scaffolder.py nextjs my-app --output ./projects |
code_quality_analyzer.py | Static-analyze a codebase for security, complexity, deps, coverage, and docs | python scripts/code_quality_analyzer.py . --verbose --json --output audit.json |
Load the reference that matches the task — keep this file lean and pull detail on demand:
What this skill covers:
What this skill does NOT cover:
senior-devops for observability toolingaws-solution-architect and senior-devopsnpm audit, pip-audit, or senior-secops for deep security analysis| Skill | Integration | Data Flow |
|---|---|---|
senior-devops | CI/CD pipeline setup for scaffolded projects | Scaffolder output directory feeds into DevOps pipeline configuration and Docker deployment workflows |
senior-secops | Deep security audit after initial quality scan | Code quality analyzer P0/P1 security findings hand off to SecOps for remediation tracking and penetration testing |
senior-qa | Test strategy for scaffolded projects | Test coverage estimation from the analyzer informs QA test plan gaps; scaffolded test infrastructure provides the harness |
code-reviewer | Automated review of generated and existing code | Quality analyzer JSON report provides structured input for code review checklists and PR approval criteria |
senior-architect | Architecture validation of stack choices | Tech stack guide recommendations feed into architecture decision records; complexity metrics validate design compliance |
aws-solution-architect | Cloud deployment of scaffolded applications | Docker Compose configurations from the scaffolder translate into ECS/EKS task definitions and infrastructure blueprints |
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.