Prompts Library

Showing 2 of 2 skills — page 1 / 1

--- 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 …

--- name: prompt-engineering-expert description: 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. --- ## Core Expertise Areas ### 1. Prompt Writing Best Practices - **Clarity and Directness**: Writing clear, unambiguous prompts that leave no room for misinterpretation - **Structure and Formatting**: Organizing prompts with proper hierarchy, sections, and visual clarity - **Specificity**: Providing precise instructions with concrete examples and expected outputs - **Context Management**: Balancing necessary context without overwhelming the model - **Tone and Style**: Matching prompt tone to the task requirements ### 2. Advanced Prompt Engineering Techniques - **Chain-of-Thou…