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Found 70 Skills
Logo design principles and AI image generation best practices for creating logos. Covers logo types, prompting techniques, scalability rules, and iteration workflows. Use for: brand identity, startup logos, app icons, favicons, logo concepts. Triggers: logo design, create logo, brand logo, logo generation, ai logo, logo maker, icon design, brand mark, logo concept, startup logo, app icon logo
Use when designing new system architecture, reviewing existing designs, or making architectural decisions. Invoke for system design, architecture review, design patterns, ADRs, scalability planning.
Use when designing system architecture, choosing between monolith/microservices/serverless, planning scalability, or making technology decisions. Covers microservices, event-driven, CQRS, modular monoliths, distributed systems, and reliability patterns for production-grade software.
Expert-level system design, architecture patterns, scalability, and distributed systems
Analyzes technical systems and problems through engineering lens using first principles, systems thinking, design methodologies, and optimization frameworks. Provides insights on feasibility, performance, reliability, scalability, and trade-offs. Use when: System design, technical feasibility, optimization, failure analysis, performance issues. Evaluates: Requirements, constraints, trade-offs, efficiency, robustness, maintainability.
Expert software architecture covering system design, distributed systems, microservices, scalability patterns, and technical decision-making.
Evaluate acquisition channels using unit economics, customer quality, and scalability. Recommends scale/test/kill decisions.
Software architecture and system design - scalability patterns, reliability engineering, and the art of making technical trade-offs that survive productionUse when "system design, architecture, scalability, how should we structure, distributed, microservices, monolith, high availability, design the system, component diagram, architecture, system-design, scalability, reliability, distributed, api, modeling, c4" mentioned.
Analyzes events through computer science lens using computational complexity, algorithms, data structures, systems architecture, information theory, and software engineering principles to evaluate feasibility, scalability, security. Provides insights on algorithmic efficiency, system design, computational limits, data management, and technical trade-offs. Use when: Technology evaluation, system architecture, algorithm design, scalability analysis, security assessment. Evaluates: Computational complexity, algorithmic efficiency, system architecture, scalability, data integrity, security.
System architecture skill for designing scalable, maintainable software systems. Covers microservices/monolith decisions, API design, DB selection, caching, security, and scalability planning.
Create critical process briefs through challenging dialogue that exposes operational blind spots and stress-tests workflows. Use when user wants to map out business processes, operations, or workflows. Proactively finds gaps, exposes hidden complexity, identifies fragile points, and tests scalability. Creates structured process briefs in .ideas/[name]/process.md. Triggers include "how would this work operationally", "what's the process", "how do we deliver", or operational details questions.
Produce a Platform & Infrastructure Improvement Pack (shared capabilities plan, reliability/performance/privacy targets, scaling triggers, analytics + discoverability decisions, execution roadmap). Use for platform engineering, infrastructure planning, scalability, reliability, and architecture foundations.