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    <link>https://joker1point.github.io/techlog/blog/agent-lessons-precipitation</link>
    <description>把&quot;记住教训&quot;从 agent 的自觉变成基础设施：三层漏斗体系——规则强制捕获（项目级原始档）→ 定期蒸馏（全局技能）→ 协议化进化（活性维护）。</description>
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    <title>我是如何保证 Agent Skill 多而不乱的？</title>
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    <description>700+ Skill 库的四层治理体系：L1 排序层（选得对）、L2 存储管理层（管得住）、L3 分区保护层（改不坏）、L4 自进化层（不腐烂），叠加快慢双路径检索。</description>
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    <description>接手陌生项目的四阶段方法论：宏观定向（1-2小时）→ 架构建模（半天）→ 运行验证（半天）→ 持续深化。12 个可执行步骤，配合 agent 技能栈实现认知加速。</description>
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    <description>一条 52 秒的产品短片，从「靠感觉做」变成「按规范复现」：四件套的实测参数、为什么每段时长必须是 GIF 的整数遍、音效为什么全部本地合成而不进素材库、指针为什么要放大到界面宽的 4.5%，以及用「承接（carry）」替代「淡入淡出换片」的改造过程。</description>
    <pubDate>Fri, 09 Oct 2026 00:00:00 GMT</pubDate>
    <author>birenwenmou@qq.com (眠月)</author>
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