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๐˜๐จ๐ฎ๐ซ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ ๐Š๐ง๐จ๐ฐ๐ฌ ๐–๐ก๐š๐ญ ๐“๐จ ๐ƒ๐จโ€ฆ ๐๐ฎ๐ญ ๐ƒ๐จ๐ž๐ฌ ๐ˆ๐ญ ๐Š๐ง๐จ๐ฐ ๐‡๐จ๐ฐ ๐“๐จ ๐ƒ๐จ ๐ˆ๐ญ? ๐Ÿค”

DEV CommunityยทSeenivasa Ramaduraiยท6 months ago
#aW08TcR8
#agents#ai#llm#agent#skills
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๐˜๐จ๐ฎ๐ซ ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ ๐Š๐ง๐จ๐ฐ๐ฌ ๐–๐ก๐š๐ญ ๐“๐จ ๐ƒ๐จโ€ฆ ๐๐ฎ๐ญ ๐ƒ๐จ๐ž๐ฌ ๐ˆ๐ญ ๐Š๐ง๐จ๐ฐ ๐‡๐จ๐ฐ ๐“๐จ ๐ƒ๐จ ๐ˆ๐ญ? ๐Ÿค”

The missing piece in most LLM applications , and how AgentSkills fix it. We've gotten pretty good at telling AI agents who they are.

" You are an expert software engineer. " "You are a seasoned marketing strategist ." We hand them a persona , dump in some context , maybe paste in a few examples and then we hit send and hope for the best.

And for simple tasks? That works fine.

But the moment you ask an agent to do something that involves multiple steps, decisions , and potential failure points things start to fall apart in ways that are hard to predict and even harder to debug.

The agent sounds confident .โ€ฆ

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