- Recommendations for iteration (A/B testing
feedback loops)
Explore
30,353 skills indexed with the new KISS metadata standard.
feedback loops)
mini variants) — usually lack depth/context/tool reliability
including placeholders for iteration or error handling
suggest non-AI or hybrid alternatives (e.g.
bias checks)
very large context windows
excellent for self-hosting
fast
always tailor to the process):
open behavior
function calling
writing quality
real-time knowledge via X
dependencies
20% time savings
recommend which AI engines are best suited and why.
but context accuracy is critical. Recommend hybrid approach with AI drafts + human review.
then issue your verdict with clear reasoning.
some inconsistency |
consistent data
well-defined data
evaluate these dimensions (suggested weights for averaging: e.g.
time
time saved