Individual skill
skill-social-performance-review
生成月度社媒效果复盘报告,分析小红书、抖音、B站、微博等平台的内容表现,输出下月可执行建议。 当用户说"月度复盘""效果复盘""这个月表现""内容复盘""运营总结""下月建议""月报"时使用。 和 skill-publish-analytics 的区别:analytics 从发布日志做四维归因,本 SKILL 做跨平台组合级月度复盘。
skills/builtin/skill-social-performance-review/SKILL.md
Source commit 5c12e42e9019d276368130b52385b770749ffa6f
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 4,599
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- agent-skill Repository topic
- content-automation Repository topic
- content-creation Repository topic
- content-generation Repository topic
- mcp Repository topic
- openclaw Repository topic
- social-media Repository topic
- social-media-management Repository topic
- data Derived category
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Browse files
EASEL-META.mddoc · 484 bytesSKILL.mdcore · 8,604 bytesSKILL.mdcore · 8,604 bytesreferences/analysis-framework.mddoc · 3,916 bytesreferences/benchmarks.mddoc · 7,640 bytesreferences/report-template.mddoc · 2,127 bytesscripts/review.pyruns · 8,301 bytes
Read excerpt
# 月度效果复盘
> 分析上月社媒内容表现,找出有效模式与失败原因,输出客户可读的复盘报告和下月可执行建议。
## 数据层定位
本 SKILL 是归因链的**消费层**,不新建数据底座:
- **粉丝 / 时序数据的权威来源是 `skill-data-tracker` 快照底座**(`outputs/_analytics/snapshots/`);发布事件底座是 `skill-publish-log`(`outputs/_analytics/publish-log.json`)。有对应底座数据时优先取用做环比与粉丝趋势。
- **本 SKILL 的临时文件与产物不是底座** — 阶段 3 的 `outputs/复盘主题/.tmp-{月份}.json` 是标准化输入(用完即删),`context/best-performers.md`、`context/review-history.md` 是复盘沉淀,均不重复存储粉丝时序或发布事件本身。
- 当底座数据缺失时,退到 CSV / 截图 / 口述输入(见「数据质量」),不阻断复盘。
## 输入