KP Prompting
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.
--- name: kp-prompting description: 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. --- Spec — what's actually wanted, precisely enough that the model isn't guessing Verifier — how you (or the model) will know the output is actually right Environment — the persistent context and guardrails so the agent doesn't relearn everything from zero every time The thread connecting all three: you can hand off the execution, but not the understanding. Every layer below should keep Tom in the loop on the actual judgment calls, not just produce polished-looking output that papers over gaps …