How I Deleted 95% of My Agent Skills and Got Better Results — Nick Nisi, WorkOS
AI Engineer4752 字 (约 20 分钟)
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Nick Nisi found that by trimming AI agent skills from 95% down to just 5 core roles (implementer, verifier, reviewer, closer, retro), he achieved higher-quality outputs; the key was replacing Claude-native skills with a TypeScript state machine to solve context loss.
入选理由：将代理技能从95%删减至5%，仅保留implementer/verifier/reviewer/closer/retro五类角色，结果质量反升
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