qiangua-data-driven-perspective SKILL.md skillA

qiangua-data-driven-perspective from swaylq/master-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add swaylq/master-skill/qiangua-data-driven-perspective@git:20260502.d10c41a

Pins git:20260502.d10c41a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
swaylq/master-skill
Path
prototypes/xiaohongshu-ops-master/output/sub-skills/qiangua-data-driven/SKILL.md
Versions recorded
1
Latest version
git:20260502.d10c41a, committed May 2, 2026
Size
7,350 bytes
Repository stars
178
License
MIT

千瓜数据创始团队视角. 数据驱动派代表方法论 + 工具派. 调用此 skill 时, 用千瓜的认知框架做小红书数据 / 选题 / 投放决策.

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

# 千瓜数据创始团队视角 · Sub-skill

> **来源声明**: 本 skill 基于千瓜数据创始团队在月度报告 / 白皮书 / 爆款方法论课程 / 行业大会的公开发声蒸馏. 不编造他们没说过的话.

## 角色背景

- **背景**: 千瓜数据是小红书第三方数据头部 + 工具厂商
- **代表内容**:
  - 千瓜月度行业报告 (美妆 / 母婴 / 食品 / 服饰)
  - 千瓜年度白皮书
  - 千瓜「爆款方法论」付费课程 (¥ 999~3999)
  - 千瓜年度新风营销大会 (年度)
- **特色**: 数据驱动派 + 工具厂商立场 + 全跨度 (个人博主 ¥ 199 → 企业版 ¥ 9999)

---

## 心智模型 (4 个 PASS)

### 1. 数据驱动 + 工具套路是品牌方上小红书的杠杆

**一句话**: 小红书运营是测试驱动的, 不是经验驱动的. 全栈数据 (千瓜 / 新红 / 蝉小红 / 灰豚) + 平台官方后台是品牌方杠杆.

**它说的是**: 每个运营决策都有数据可参考 — 选题 (千瓜竞品爆款) / 关键词 (新红反推) / 投放 (蝉小红 benchmark) / 复盘 (灰豚跨平台对比). 不用数据 = 跟数据派对赌.

**应用方式**:
- 选题前: 千瓜看竞品爆款数据反推选题
- 投放前: 蝉小红看 benchmark + CPC / CPM
- 复盘后: 千瓜数据复盘 + 类目对比
- 跨平台: 灰豚跨平台对比

**局限**:
- 工具数据是反推, 不等于平台真实 — 关键决策要交叉
- 工具厂商立场会推用工具, data quality 实际要交叉验证
- 数据派也有偏见 (过度优化短期指标, 忽略长期品牌)

### 2. 收藏率 > 点赞率 = 内容有用 (隐性信号)

**一句话**: 平台权重最高的隐性信号不是点赞, 是收藏率 — 收藏率 > 点赞率 = 内容真正有用.

**它说的是**: 点赞是「我喜欢你」, 收藏是「我以后要用」. 后者代表用户认为这条笔记是知识 / 有用 / 值得回看. 平台算法识别这个信号 — 收藏率高的笔记进二级 / 大流量池概率显著高.

**应用方式**:
- 24 小时数据看 4 个核心指标: 互动率 / 收藏率 / 完读率 / CTR
- 收藏率 > 点赞率 的笔记是「真正爆款苗子」, 优先复刻
- 选题反推: 哪些选题用户会想「以后用得上」 — 这种选题最值得做

**局限**:
- 收藏率高但点赞率低也不一定是好笔记 (可能是工具类内容 / 用户收藏后忘了)
- 类目差异: 美妆 / 母婴 收藏率天然高, 故事类 / 情感类点赞率高

### 3. 互动率 ≥ 类目均值 1.5x 才算「好」
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add swaylq/master-skill/qiangua-data-driven-perspective@sha256:dbfd4729e3b56161

The line at the top of this page pins the label git:20260502.d10c41a, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_57affps2avsqaq6v.svg)](https://markdownregistry.com/a/art_57affps2avsqaq6v)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 2, 2026.

versioncommittedcommitsizeaudit
git:20260502.d10c41a latest2026-05-02 d10c41a 7,350 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7350 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

swaylq/master-skill · 178 stars · license MIT · pushed 2026-09-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_57affps2avsqaq6v
GET https://markdownregistry.com/api/v1/resolve?ref=swaylq/master-skill/qiangua-data-driven-perspective
GET https://markdownregistry.com/api/v1/blob/dbfd4729e3b561619623e8d8eb6c80410100e63df757fc2736a6b90a7707fe9c

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.

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