keyword cleanup: v2 engine, alias rule layer, LLM semantic suggestions

- build_review_bundle.py: 新增 _compute_percentile/_compute_growth,
  候选池从固定阈值改为百分位排名 + 增速因子 (v2 policy)
- term_cleanup_policy.json: 升级 v2 schema
- generate_term_cleanup_suggestions.py: 新增 _prepare_alias_suggestions,
  规则层输出 alias (大小写/单复数/分词变体)
- generate_term_cleanup_semantic_suggestions.py: 新增 LLM 语义建议脚本
  (DeepSeek API, 产出 semantic alias/stopword/promote)
- SKILL.md: 更新为 5 Phase 工作流程
- 首轮清洗 apply: interest 54, aliases 17组, stopwords 17个
- docs/design/keyword-cleanup-flow-overview.md: 流程文档
- plans/: 引擎设计方案

configs/term_stopwords.json

@@ -1,6 +1,19 @@
 [
+  "AGI",
+  "AIHOT",
+  "AI日报",
+  "All In Code",
+  "auto-twitter-campaign",
+  "ChangeSet",
+  "Channels",
+  "Lumina",
+  "Memory",
+  "OpenViking",
+  "Prompt",
+  "Seedance 2.0",
   "奋斗文化",
   "小银",
+  "质量门禁",
   "银行客户经理",
   "飞盘物理"
 ]