Unverified50% confidenceOpinionExact time
There is no mechanism in a Skill that can compensate for a weak model; a toolkit is only useful when the Agent actually invokes it.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedWhen using Agent-type tools, one should not mount a large number of unrelated skills at once, as they will interfere with each other and cause chaotic results79% similarUnverifiedNo skill can make a weaker model perform exactly like a stronger model; differences in output and comprehension across models remain.77% similarUnverifiedThe author argues that the bottleneck in agent workflows has never been model capability but packaging, and a mediocre model paired with an excellent Skill outperforms a top model facing a blank prompt box.75% similarUnverifiedAn Agent model that cannot guarantee controllable behavior cannot be truly deployed at scale no matter how strong its capabilities are.73% similarUnverifiedSkill本身不生成图像，实际绘制能力取决于所搭载的Agent72% similar
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