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Found 92 Skills
Identifies performance bottlenecks and provides ordered scaling strategies with triggers, phased plans, and cost implications. Use for "scalability planning", "performance bottlenecks", "capacity planning", or "growth strategy".
Use when designing, planning, implementing, or reviewing any non-trivial change — enforces stateless design, efficient resource usage, and architectural patterns that handle 10x-100x growth without redesign
Design and optimize systems for high concurrency, throughput, scalability, and elastic scale—concurrency models (threads, async/await, actors), lock-free patterns, connection pooling, caching stampede mitigation, horizontal scaling, load balancing, backpressure, queueing, rate limiting, bulkheads, read replicas, sharding, pool tuning, profiling, capacity planning, SLO-driven autoscaling, multi-region and CDN edge architecture. Use when the user asks about high concurrency, scalability, throughput, horizontal scaling, connection pooling, backpressure, rate limiting, caching stampede, read replica, sharding, autoscaling, capacity planning, lock contention, async scalability, or load balancing—not service decomposition (microservices-developer), event buses only (event-driven-architecture), generic CRUD (senior-software-engineer), SRE on-call only (site-reliability-engineer), load tests without architecture (performance-engineer), or cost-only FinOps (cloud-economist).
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.
System architecture and technical design specialist. 🚨 TIER 2 SKILL - ON-DEMAND ACTIVATION 🚨 Use when user requests involve: - System architecture design and planning - Technical specifications and ADRs - Technology evaluation and selection - Scalability and performance planning - Integration architecture and API design - English: "design system", "architecture", "ADR", "tech stack", "scalability" - Swedish: "arkitektur", "systemdesign", "teknikval", "skalbarhet" Architecture Specialist (British female voice) provides: - System design and architecture patterns - Architecture Decision Records (ADRs) - Technology evaluation and trade-off analysis - Cloud and microservices architecture - Integration patterns and API design User confirmation optional but recommended for major architectural decisions.
Implement database sharding for horizontal scalability. Use when scaling large databases, distributing data across multiple servers, or designing sharded architectures.
Expert-level system design, architecture patterns, scalability, and distributed systems
Build and operate Turborepo monorepos with deterministic task graphs, cache correctness, and CI scalability. Use for `turbo.json` design, task dependency modeling, outputs/inputs hashing, environment variable handling, remote cache rollout, and pipeline troubleshooting.
System architecture skill for designing scalable, maintainable software systems. Covers microservices/monolith decisions, API design, DB selection, caching, security, and scalability planning.
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.
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.