skill-social-performance-review SKILL.md skillA
skill-social-performance-review from zju-real/easel is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zju-real/easel/skill-social-performance-review@git:20261012.0d53744Pins git:20261012.0d53744 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zju-real/easel
- Path
skills/builtin/skill-social-performance-review/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261012.0d53744, committed Oct 12, 2026
- Size
- 8,604 bytes
- Repository stars
- 4,469
- License
- Apache-2.0
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。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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
用户 prompt 中提供以下信息：
- **复盘月份**：哪个月的数据
- **平台**：小红书 / 抖音 / B站 / 微博 / 公众号（可多选）
- **数据来源**（按优先级）：
- CSV 导出（小红书创作者中心 / 抖音创作者服务平台 / B站创作中心 / 微博数据中心）
- 截图（各平台后台数据概览）
- 口述（用户描述哪些帖子表现好/差）
- **业务背景**（可选）：当月是否有特殊事件、促销、付费推广
示例 prompt：
```
Execute /skill-social-performance-review
月份：2025年6月
平台：小红书
数据：附上后台截图
背景：6月中旬做了一次好物分享合集
```
## 输出
结构化月度复盘报告，保存到 `outputs/复盘主题/[客户名]-social-review-[月份]-[年份].md`。
报告包含：月度概览、表现最佳/最差帖子分析、内容支柱与格式拆解、关键洞察、下月建议。
完整报告模板见 `references/report-template.md`。
## 数据质量
SKILL 适配三种数据质量等级，缺数据不中断分析：
| 等级 | 数据来源 | 分析深度 |
|------|----------|----------|
| **完整** | CSV 导出 + 账号概览截图 | 逐帖评分，完整指标对比 |
| **部分** | 截图或 Top/Bottom 帖子列表 | 模式分析，标注数据缺口 |
| **最少** | 用户口述表现好/差的帖子 | 定性分析 + 基于最佳实践的建议 |
…Read the whole file at its exact version.
How to install
mdr add zju-real/easel/skill-social-performance-review@sha256:68048ef7d2b46eb9The line at the top of this page pins the label git:20261012.0d53744, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_emhxrkpdjtnhv6lu)
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Versions
The registry has recorded 1 version of this file, committed on Oct 12, 2026.
Audit of the latest version
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Source
zju-real/easel · 4,469 stars · license Apache-2.0 · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_emhxrkpdjtnhv6lu GET https://markdownregistry.com/api/v1/resolve?ref=zju-real/easel/skill-social-performance-review GET https://markdownregistry.com/api/v1/blob/68048ef7d2b46eb92fb9b6b1ffcd9bacbdc5a59b89cffdceca112a014527d012
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.