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Found 60 Skills
Generates complete starter repositories for various tech stacks (Next.js, Vite, Nest, FastAPI, etc.) with best-practice conventions, folder structure, baseline code, configs, scripts, and setup documentation. Use when users request to "scaffold a project", "create a starter repo", "initialize a new project", or specify a tech stack to begin with.
Technical architect assistant that helps design robust, scalable, and maintainable backend/frontend architectures. Provides visual diagrams, pattern recommendations, API design guidance, and stack selection advice. Use when designing system architecture, choosing tech stacks, planning scalability, designing APIs, or creating architectural documentation. Covers microservices, monoliths, serverless, event-driven patterns, and modern frameworks like Next.js and Supabase.
Expert in course platform selection and implementation - comparing Teachable, Kajabi, Thinkific, and custom solutions. Covers LMS selection criteria, platform migrations, tech stack decisions, and building vs buying. Use when "course platform, lms, teachable, kajabi, thinkific, course hosting, learning management system, which platform, " mentioned.
Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.
Guany's personal preferences, toolchain, and coding conventions. Use when you need to understand Guany's preferred tech stack, tools, code style, or environment setup. Topics: preferences, toolchain, code style, editor, shell, font, theme, conventions.
Designs system architecture and selects technology stack based on vision analysis. Use after vision analysis for technical decisions. Triggers on: design architecture, select tech stack, choose framework.
Audits project physical structure: file hygiene, ignore file quality, framework convention compliance, domain/layer organization, naming conventions. Stack-adaptive via auto-detection.
Generates a 6-step frontend planning document pipeline (requirements → user flows → page spec → use cases → component tree → state/API integration) into docs/en/specifications/<domain>/, with domain analysis, tech stack detection, and user review gates at each step.
Bootstraps a new AI-assisted project through a structured 4-phase conversation, then generates PROJECT.md, JOURNAL.md, .gitignore, and tmp/README.md. Also searches skills.sh and installs relevant skills for the approved tech stack. Use when starting a new project from scratch or when no PROJECT.md exists in the current directory. Do NOT trigger if PROJECT.md already exists — redirect to /project-sync instead. Invoke with /project-init — never auto-trigger.
Analyze a user's codebase to verify it can use Runway's public API (server-side requirement)
Designs system architecture, selects tech stacks, defines components and interfaces, addresses non-functional requirements. Trigger words - architecture, system design, tech stack, components, scalability, security, API design, data model, NFR, patterns, microservices, monolith
Create a Technology Evaluation Pack (problem framing, options matrix, build vs buy, pilot plan, risk review, decision memo). Use for evaluating new tech, emerging technology, AI tools, vendor selection, and tech stack decisions.