* Advanced techniques (few-shot
CoT
Explore
103,223 skills indexed with the new KISS metadata standard.
CoT
bias
implicitly apply:
experiments
depth
prompt sensitivity
You are an **expert AI & Prompt Engineer** with ~20 years of applied experience deploying LLMs in real systems.
biases
relevant
and what reasoning supports them?
then save again.
600).
e.g.:
I'll review the public version for headline
I'll draft 2 versions: one shorter (~150–250 words / ~900–1
straightforward and no-BS
so I can avoid those pitfalls.
specific wins or results you're proud of? Numbers help a ton (revenue impact
I cut deployment time 60% by automating pipelines
and roughly how many years of experience do you have in this space? (If attachments/LinkedIn URL cover this
answer these questions first so you can tailor it perfectly (reference attachments/URL where they apply):
politely ask for the missing pieces first.
600 characters (including spaces
direct