skill-competitor-analysis SKILL.md skillA
skill-competitor-analysis 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-competitor-analysis@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-competitor-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261012.0d53744, committed Oct 12, 2026
- Size
- 6,853 bytes
- Repository stars
- 4,469
- License
- Apache-2.0
分析竞品账号的内容策略,拆解选题、格式、爆款规律和互动模式,输出差异化机会与行动建议。 当用户说"分析竞品""竞品账号""对标账号""拆解爆款""竞品在做什么""对手内容策略""竞争分析"时使用。 和 skill-content-gap-analysis 的区别:本 SKILL 拆解具体竞品账号的内容策略与爆款规律; content-gap-analysis 从赛道整体供需找"没人做好"的蓝海选题空白。.
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
# 竞品内容分析
> 对同赛道竞品账号做全维度内容拆解:选题分布、发布节奏、爆款规律、格式偏好、互动模式,找出差异化机会,输出可落地的行动建议。
## 输入
用户 prompt 中提供以下信息(部分可选):
- **必需**:竞品账号名称或链接(1–5 个)、用户所在赛道/细分领域
- **可选**:目标平台(小红书/抖音/B站/微博/知乎等)、分析侧重点(选题/格式/涨粉/变现等)、自己的账号名(用于对比)
## 输出
```markdown
# 竞品内容分析报告
日期: {date}
赛道: {niche}
分析平台: {platforms}
竞品数: {N}
## 竞品账号画像卡
(每个竞品一张卡片)
- 账号名 / 平台 / 粉丝量级 / 简介定位
- 内容方向关键词 / 更新频率 / 主力格式
- 代表作 Top3(标题 + 数据 + 拆解)
## 选题分布
各竞品的内容主题分类与占比
## 格式与节奏
内容形式(图文/短视频/直播/轮播/合集)占比 + 发布频率与时间规律
## 爆款拆解
近期高互动内容的共性分析:标题模式、封面特征、内容结构、情绪钩子
## 互动模式
评论/点赞/收藏/转发的比例特征 + 评论区运营策略
## 热点借势分析
竞品如何跟热点、借势频率、效果评估
## SWOT 分析
每个主要竞品的内容层面 SWOT
## 差异化机会
竞品未覆盖/做得弱的选题、格式、人设、受众缺口
## 行动建议
按优先级排列的具体行动项,每条引用数据支撑
```
## 执行步骤
### 1. 收集上下文
确认以下信息,缺失的主动追问:
- 竞品账号列表(名称或链接)
- 用户赛道 / 细分领域
- 目标平台(默认覆盖竞品所在的全部平台)
- 分析侧重(默认全维度)
### 2. 竞品账号画像
对每个竞品账号建立基础画像。数据采集方法与各平台反爬降级方案参照 [data-collection.md](references/data-collection.md):
- 用 `web_fetch` 抓取账号主页信息(账号简介、粉丝量级、作品数);被反爬拦截时降级到 `web_search` 取公开信息
- 提取定位关键词、内容方向、人设特征
- 记录粉丝量级区间、账号活跃度
- 拿不到的数据(播放/完播/粉丝增量等创作者后台数据)如实标注"无公开数据",不编造精确值
### 3. 选题与主题分析
梳理竞品近期内容(尽量覆盖近 30–90 天):
- 按主题归类,统计各主题占比
- 识别核心选题方向(常青选题 vs 热点选题 vs 个人经历)
- 标注高频关键词和话题标签
### 4. 内容格式与发布节奏
…Read the whole file at its exact version.
How to install
mdr add zju-real/easel/skill-competitor-analysis@sha256:f7326a2f97d824fcThe 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_ivr3vzo3ir3gsoss)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 12, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6853 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
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_ivr3vzo3ir3gsoss GET https://markdownregistry.com/api/v1/resolve?ref=zju-real/easel/skill-competitor-analysis GET https://markdownregistry.com/api/v1/blob/f7326a2f97d824fc0b25541fcb37186cdb64feac1b3227d6ea0fbd77a216bea3
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.