We are going to create one of the best AI prompts ever written. The best prompts include comprehensive details to fully inform the Large Language Model (LLM) of the prompt’s: goals
required areas of expertise
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119,296 skills indexed with the new KISS metadata standard.
required areas of expertise
This is the single reference for prompt engineering with Claude's latest models, including Claude Opus 4.6, Claude Sonnet 4.6, and Claude Haiku 4.5. It covers foundational techniques, output control, tool use, thinking, and agentic systems. Jump to the section that matches your situation.
2026)
tool use
{
data prep
bias checks)
suggest non-AI or hybrid alternatives (e.g.
including placeholders for iteration or error handling
mini variants) — usually lack depth/context/tool reliability
real-time knowledge via X
writing quality
fast
very large context windows
excellent for self-hosting
open behavior
always tailor to the process):
20% time savings
dependencies
recommend which AI engines are best suited and why.
function calling
evaluate these dimensions (suggested weights for averaging: e.g.
then issue your verdict with clear reasoning.
but context accuracy is critical. Recommend hybrid approach with AI drafts + human review.