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wangzhuc 87c4a7d293 feat: effect feedback loop, evergreen topics, merged search, content quality checks 
- Topic selection: add historical effect analysis (framework/strategy/title
  performance weighting when stats available), add 2-3 evergreen topics
  alongside trending ones
- Step 3: merge material collection and content enhancement into single
  search pass, with framework-specific search strategies
- Step 5: split verification into writing quality (A) and content quality (B),
  add checks for hook strength, quote density, angle sharpness per framework
- Fix exemplar category mapping for new frameworks (opinion → hot-take,
  retrospective → story-emotional)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-31 16:20:17 +08:00
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personas chore: rebuild dist/openclaw from source 2026-03-30 16:55:01 +00:00
references feat: effect feedback loop, evergreen topics, merged search, content quality checks 2026-03-31 16:20:17 +08:00
scripts chore: rebuild dist/openclaw from source 2026-03-30 16:55:01 +00:00
toolkit 新增 OpenClaw 兼容：build 脚本 + CI + 首次产物 2026-03-30 13:00:07 +08:00
config.example.yaml 新增 OpenClaw 兼容：build 脚本 + CI + 首次产物 2026-03-30 13:00:07 +08:00
requirements.txt 新增 OpenClaw 兼容：build 脚本 + CI + 首次产物 2026-03-30 13:00:07 +08:00
SKILL.md chore: rebuild dist/openclaw from source 2026-03-30 16:55:01 +00:00
style.example.yaml 新增 OpenClaw 兼容：build 脚本 + CI + 首次产物 2026-03-30 13:00:07 +08:00
VERSION chore: rebuild dist/openclaw from source 2026-03-30 16:55:01 +00:00
writing-config.example.yaml chore: rebuild dist/openclaw from source 2026-03-30 11:59:47 +00:00