This skill equips Claude with deep expertise in prompt engineering, custom instructions design, and prompt optimization. It provides comprehensive guidance on crafting effective AI prompts, designing agent instructions, and iteratively improving prompt performance.
Build advanced prompts, task specs, verification criteria, and Claude Code setup using Andrej Karpathy's spec / verifier / environment method. Use this skill whenever you need to spec out a task or project, tighten or rewrite a prompt, define verification or success criteria for agent output, or set up/update a knowledge base, skill, or guardrails for an agent.
Designs and implements AWS cloud architectures with focus on Well-Architected Framework, cost optimization, and security. Use when: 1. Designing or reviewing AWS infrastructure architecture 2. Migrating workloads to AWS or between AWS services 3. Optimizing AWS costs (right-sizing, Reserved Instances, Savings Plans) 4. Implementing AWS security, compliance, or disaster recovery 5. Troubleshooting AWS service issues or performance problems
Multi-agent orchestration skill for team assembly, task decomposition, workflow optimization, and coordination strategies to achieve optimal team performance and resource utilization.
High-end Prompt Engineering & Prompt Refiner skill. Transforms raw or messy user requests into concise, token-efficient, high-performance master prompts for systems like GPT, Claude, and Gemini. Use when you want to optimize or redesign a prompt so it solves the problem reliably while minimizing tokens.
Catches quality drops when you change an AI feature's prompt or model: runs your test cases, compares old and new answers side by side, and tracks cost and speed.
