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English(EN) /skill-doctor: 40 skills, 3,060 tokens a turn, and the wrong ones to cut

Claude Code 的 /skill-doctor 工具可识别未使用的技能和token浪费

Claude Code 推出了一个名为 /skill-doctor 的新诊断工具,该工具会报告系统中加载的各个技能的token成本和使用频率。该工具显示,每次调用的总token成本中有很大一部分归因于从未被调用的技能。报告还强调了重复技能以及被标记为未使用但实际上是更大、已使用插件一部分的技能等问题。 AI

影响 Claude Code 的这项新诊断工具可以通过识别和禁用利用率低的技能,帮助用户优化token使用并降低成本。

排序理由 现有AI产品的新功能发布。

在 dev.to — Claude Code tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Claude Code 的 /skill-doctor 工具可识别未使用的技能和token浪费

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Signal score
28 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
现有AI产品的新功能发布。
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Rulestack ·

    /skill-doctor:40项技能,每次3060个token,以及不该削减的技能

    <blockquote> <p>We ran the new <code>/skill-doctor</code> command on the machine that runs our shop. It listed 40 skills costing about 3,060 tokens on every turn, flagged three as never invoked, and attributed 149 million tokens over seven days to a single skill. One of the three…