Skill UI

This sophisticated skill automates the entire Pull Request (PR) quality assurance lifecycle. It systematically fetches and categorizes CI check failures and detailed review feedback using the LOGAF priority scale. The workflow guides users through root cause analysis, proposing minimal, targeted fixes, replying to reviewers, and committing updates iteratively until all checks pass, ensuring high code quality before merging.

This comprehensive guide addresses common technical and business logic errors encountered when integrating with the Juicebox API. It covers HTTP status codes (e.g., 401, 403, 429), including authentication failures, quota exhaustion, rate limiting, data validation issues, and analysis timeouts. The resource provides detailed causes, specific fixes, and best practices for building reliable and robust integrations into recruiting and research workflows.

A mandatory workflow for ensuring high code quality across multiple ecosystems, including Node.js/TypeScript and Python. This pipeline runs static analysis tools—such as linters, type checkers (MyPy, tsc), and security scanners (Bandit)—after every code change. It mandates that no task is considered 'done' or committed until all validation checks pass, resolving style, syntax, and type mismatches.

This skill enables the coordination of multiple specialized AI agents within a single session. It is designed for complex, multi-domain tasks such as comprehensive code reviews, security audits, or full-stack feature implementations. It coordinates expertise across various domains (backend, frontend, testing, architecture) to provide holistic analysis and actionable recommendations.

A comprehensive specialist that combines automated static analysis (SonarQube, CodeQL, Semgrep) with advanced AI capabilities. This tool performs multi-layered code reviews assessing security vulnerabilities, performance bottlenecks, architectural coherence, and maintainability across various programming languages, integrating seamlessly into CI/CD pipelines.

Scans your codebase with pattern matching and entropy analysis to detect exposed secrets like API keys, passwords, and private keys, then generates remediation reports so you can fix vulnerabilities before committing or deploying code.

Automates the generation of professional, high-resolution marketing screenshots for your web application using Playwright. This skill guides you through the entire process, from gathering user requirements (product hunt, social media, documentation) to deep code analysis (routes, components). It ensures comprehensive coverage of key features, providing marketing-ready assets for your product launch or documentation.

Runs AgentShield to audit Claude Code configuration files and MCP components for secrets, injection risks, and overly permissive settings, offering CLI, JSON/Markdown/HTML reports, auto-fix, Opus deep analysis, and CI-ready GitHub Action hooks to harden new or existing projects.

Perform Static Application Security Testing (SAST) to identify critical security vulnerabilities, including SQL injection, XSS, hardcoded secrets, and path traversal, directly from source code. Supports multi-language ecosystems (Python, JavaScript, Java, Go, etc.) and major frameworks, enabling crucial pre-deployment security validation and compliance checks (OWASP, PCI-DSS).

Runs Semgrep static analysis with auto language detection, parallel Task subagents, Semgrep Pro checks, and configurable “run all” or “important only” modes to audit codebases for vulnerabilities and bug patterns.

A comprehensive skill set for modern frontend development using React, Next.js, TypeScript, and Tailwind CSS. It covers automated project scaffolding, component generation (including hooks and stories), and critical bundle analysis. Use this to enforce best practices, optimize performance, and maintain high code quality in large-scale web applications.

A comprehensive toolkit for the full software development lifecycle. It guides stack selection using a detailed decision engine, automatically scaffolds complex boilerplate projects across multiple popular stacks (Next.js, MERN, FastAPI, Django), and provides deep code quality analysis. Features include security vulnerability detection, complexity scoring, and dependency auditing, ensuring high-quality development from the start.