Raw LLM Responses

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Mostly yes conceptually, but not 1:1. Claude Skills are basically reusable instruction modules plus routing logic. In ChatGPT, the closest equivalents are project instructions, custom GPT instructions, and a small prompt library you paste in when needed. The part that usually breaks is trigger behavior, because Claude can activate a skill from description while ChatGPT usually needs you to invoke the pattern more explicitly. I would turn each skill into purpose, trigger, inputs, steps, and output format, then port them one by one instead of trying to move the whole graph at once.
reddit Viral AI Reaction 1776969532.0 ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_oi3lak5","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"rdc_oi3y5cy","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_ohy0xd7","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"rdc_ohvbtyk","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"rdc_ohvqsp6","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"} ]