refactor: decouple Hugo publication from pipeline - report first, user selects, then publish
- New flow: pipeline → report candidates → user selects Hugo articles → generate public digest → publish Hugo → user selects IMA articles → IMA deposition - digest-brief.json is now the sole data source (concise, less token consumption) - Removed 来源 line from public-digest-example.md to match SKILL hard rule - Public digest no longer auto-generated with all keep items
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@@ -7,7 +7,7 @@ summary = "围绕 Agent 架构分层、Skills 标准化与桌面 Agent 工程实
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> ⚠️ 格式规范(生成 Hugo 时必须遵守):
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> - 文章编号:`1.` `2.` `3.`(阿拉伯数字 + 点),禁止 `① ② ③` / `一、二、三` 等变体
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> - 四个 section 缺一不可:`今日概览` → `今日重点` → `趋势观察` → `延伸阅读`
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> - 每篇文章结构:标题来源 → 摘要段 → "值得关注:"三点 → "这篇更值得关注的理由"段
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> - 每篇文章结构:标题 → 摘要段 → "值得关注:"三点 → "这篇更值得关注的理由"段
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# 今日概览
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@@ -16,7 +16,6 @@ summary = "围绕 Agent 架构分层、Skills 标准化与桌面 Agent 工程实
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## 今日重点
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### 1. 学习笔记:从 Agent 到 Skills — AI 智能体架构的范式转变
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来源:阿里云开发者
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文章分析了 AI 智能体架构从单体 Agent 向模块化 Skills 的范式转变。Anthropic 先后推出 MCP 和 Agent Skills 开放标准,构建了知识、工具、协作和运行分层架构。文章通过一个自动化美化相册的真实项目,对比了 Claude Code 与 OpenClaw 两种实现方案,验证了新架构的可复用性与灵活性。
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