Senior Fullstack

SkillAI & models

This skill gives your AI a fullstack development toolkit. Once added, it can set up new web projects in Next.js, FastAPI, MERN, or Django, and analyze your existing code with security and complexity scoring. It can also help you decide which tech stack fits your project best.

Available today. Use it from your connected AI after setup.

Add the skill, then ask your AI to set up a new project in one of the supported stacks or to review your existing code for security and quality issues.

Then ask your AI: use the Senior Fullstack skill

What your AI can do with it

  • Set up a new fullstack project in Next.js, FastAPI, MERN, or Django
  • Create a Next.js app or a FastAPI with React project when you ask
  • Analyze your code quality with security scoring
  • Score your code for complexity
  • Guide you in choosing the right tech stack for your project

What this skill tells your AI

The instructions your AI receives, as published by borghei/claude-skills in engineering/senior-fullstack/SKILL.md and read by ahel’s review.

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.

Core Capabilities

  • Project scaffolding — generate complete Next.js, FastAPI+React, MERN, or Django+React structures with TypeScript, Docker/docker-compose, env templates, and package configs.
  • Code quality analysis — static scan for security issues, cyclomatic complexity, dependency CVEs, test coverage estimate, and documentation scoring, with an overall score/grade and prioritized P0/P1/P2 recommendations.
  • Stack selection — decision matrix and trade-off guides for frameworks, databases, ORMs, auth, and deployment platforms by use case (MVP, SaaS, Enterprise).
  • Architecture patterns — frontend component design, backend clean architecture, API design (REST/GraphQL), caching, and authentication.
  • Lifecycle workflows — local setup, git, CI/CD, testing, code review, deployment, and observability.

When to Use

Use this skill when you hear:

  • "scaffold a new project" / "set up a fullstack project" / "generate project boilerplate"
  • "create a Next.js app" / "set up FastAPI with React"
  • "analyze code quality" / "check for security issues in codebase"
  • "what stack should I use"

Clarify First

Before scaffolding, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Stack — Next.js / FastAPI+React / MERN / Django+React (selects the scaffold template and entire file tree)
  • App name & output path — where the project is written (project_scaffolder positional args)
  • Task — scaffold a new project vs analyze an existing codebase's quality (selects 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.

Tools

ToolPurposeCommand
project_scaffolder.pyScaffold a fullstack project structure with boilerplate, Docker, and env configpython scripts/project_scaffolder.py nextjs my-app --output ./projects
code_quality_analyzer.pyStatic-analyze a codebase for security, complexity, deps, coverage, and docspython scripts/code_quality_analyzer.py . --verbose --json --output audit.json

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • references/tooling-workflows-and-quality.md — full tool docs (templates, flags, sample output, output formats), the three end-to-end workflows, the stack decision matrix / common issues, the troubleshooting table, and the success-criteria bar. Read when running the tools in depth or checking generated work before shipping.
  • references/architecture_patterns.md — frontend component architecture, backend clean architecture / repository pattern, REST & GraphQL API design, database patterns, caching strategies, and authentication architecture. Read when designing or reviewing system structure.
  • references/development_workflows.md — local dev setup, git workflows, CI/CD pipelines, testing strategies, code review process, deployment strategies, and observability. Read when standing up the development lifecycle.
  • references/tech_stack_guide.md — frontend/backend framework comparisons, database selection, ORMs, auth solutions, deployment platforms, and stack recommendations by use case. Read when choosing a stack.

Scope & Limitations

What this skill covers:

  • Project scaffolding for Next.js, FastAPI+React, MERN, and Django+React stacks with Docker, TypeScript, and environment configuration
  • Static code quality analysis including complexity metrics, security pattern detection, dependency vulnerability checks, test coverage estimation, and documentation scoring
  • Stack selection guidance via the tech stack decision matrix and reference guides
  • Fullstack architecture patterns (frontend component design, backend clean architecture, API design, caching, auth)

What this skill does NOT cover:

  • Runtime performance profiling, load testing, or APM instrumentation -- see senior-devops for observability tooling
  • Infrastructure provisioning, Terraform/Pulumi, or cloud deployment automation -- see aws-solution-architect and senior-devops
  • Comprehensive CVE scanning against live vulnerability databases -- use npm audit, pip-audit, or senior-secops for deep security analysis
  • Mobile or native desktop application scaffolding -- this skill targets web-based fullstack architectures only

Integration Points

SkillIntegrationData Flow
senior-devopsCI/CD pipeline setup for scaffolded projectsScaffolder output directory feeds into DevOps pipeline configuration and Docker deployment workflows
senior-secopsDeep security audit after initial quality scanCode quality analyzer P0/P1 security findings hand off to SecOps for remediation tracking and penetration testing
senior-qaTest strategy for scaffolded projectsTest coverage estimation from the analyzer informs QA test plan gaps; scaffolded test infrastructure provides the harness
code-reviewerAutomated review of generated and existing codeQuality analyzer JSON report provides structured input for code review checklists and PR approval criteria
senior-architectArchitecture validation of stack choicesTech stack guide recommendations feed into architecture decision records; complexity metrics validate design compliance
aws-solution-architectCloud deployment of scaffolded applicationsDocker Compose configurations from the scaffolder translate into ECS/EKS task definitions and infrastructure blueprints

Signals

GitHub stars
752
Forks
137
Last commit
Aug 2026

ahel review

  • K1binfo
    installs-packages (in scripts/project_scaffolder.py)
  • K1binfo
    installs-packages (in references/tooling-workflows-and-quality.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Catalog kind
skill
Gateway key
senior-fullstack
Source
github.com/borghei/claude-skills