CS Master Skill

Use this skill when working on problems requiring deep computer science expertise:

When to Use

• Algorithm design: Optimal solutions for computational problems, not just "make it work"
• Complexity analysis: Big-O analysis, space-time tradeoffs, proving correctness
• Advanced data structures: Segment trees, tries, union-find, skip lists, bloom filters
• Graph algorithms: Shortest paths, network flow, bipartite matching, topological sort
• Distributed systems: Consensus, replication, partitioning, CAP theorem applications

Core Capabilities

1. Optimal algorithm selection: Choose the right algorithm based on constraints (n size, memory, real-time requirements)
2. Complexity reasoning: Analyze time/space complexity, identify bottlenecks, prove bounds
3. Trade-off analysis: Balance between time/space, consistency/availability, latency/throughput
4. Advanced data structure design: Custom structures optimized for specific access patterns
5. Distributed systems architecture: Design fault-tolerant, scalable systems with proper guarantees

Progressive Disclosure

• algorithms.md - Algorithm selection, optimization patterns, implementation details
• systems.md - Systems programming, performance optimization, low-level design
• distributed.md - Distributed systems patterns, consensus, replication strategies

Not For

• Basic CRUD operations (use general programming skills)
• Simple loops/conditionals (already covered)
• Generic refactoring without algorithmic considerations