init: AI日报 pipeline 完整代码 + 技能文档 + 运行记录

skill/references/rendering-guide.md

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+# Rendering & Guide Formatting Reference
+
+## `clean_guide_text(text)` function (in `blog_markdown()`)
+
+Strips unwanted artifacts from LLM-generated guide text:
+
+```python
+def clean_guide_text(text):
+    # Strip all [N] reference numbers
+    text = re.sub(r'\[\d+\]', '', text)
+    text = re.sub(r'\[N\]', '', text).strip()
+    # Strip "主线判断：" prefix
+    text = re.sub(r'^主线判断[：:]\s*', '', text)
+    # Clean extra whitespace
+    text = re.sub(r'\s+', ' ', text).strip()
+    return text
+```
+
+## Summary section rendering
+
+Type labels map: `{'strong': '强信号', 'medium': '中信号', 'risk': '待验证'}`
+
+Output format per type group:
+```
+## 总结
+
+**强信号**
+
+- **标题（从text第一句提取）**
+  解释内容...
+
+- **标题**
+  解释内容...
+
+**中信号**
+
+- **标题**
+  解释内容...
+
+**待验证**
+
+- **标题**
+  解释内容...
+```
+
+Title extraction logic:
+1. Try splitting on `：` or `:` — if prefix < 60 chars, use as title
+2. Otherwise, split on `。！？` and use first sentence as title
+
+## Title translation (Stage 2a)
+
+Titles are translated from English to Chinese in Stage 2a. Rules:
+- Brand names preserved: GPT-5, Codex, Gemini, OpenAI, Meta, etc.
+- Technical terms with no good Chinese equivalent: keep English
+- Everything else: translate to natural Chinese
+- LLM prompt explicitly states: "英文品牌名/模型名保留原样，其余翻译为中文"
+
+## LLM prompt for guide (as of 2026-05-30)
+
+Key instructions to LLM:
+- 不要空泛总结（如"行业焦点转向XX"），要指向具体事件
+- 不要引用编号如[1][3]，读者看不到对应关系
+- 不要建议（"开发者应该..."之类删掉）
+- 每条控制在2-3句话以内
+- 用大白话，不要学术腔