SEO Content Brief Generator
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
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. An agent skill from ZJU-REAL/Easel.
Install Skill Competitor Analysis
$ npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-competitor-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-competitor-analysis .claude/skills/skill-competitor-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "skill-competitor-analysis" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-competitor-analysis into .claude/skills/skill-competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-competitor-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-competitor-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-competitor-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/skill-competitor-analysis .agents/skills/skill-competitor-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-competitor-analysis" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-competitor-analysis into .agents/skills/skill-competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-competitor-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-competitor-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/skill-competitor-analysis .cursor/skills/skill-competitor-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-competitor-analysis" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-competitor-analysis into .cursor/skills/skill-competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-competitor-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZJU-REAL/Easel.git --path skills/openclaw/skill-competitor-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-competitor-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/skill-competitor-analysis .gemini/skills/skill-competitor-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-competitor-analysis" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-competitor-analysis into .gemini/skills/skill-competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-competitor-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZJU-REAL/Easel skill-competitor-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/skill-competitor-analysis .github/skills/skill-competitor-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-competitor-analysis" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-competitor-analysis into .github/skills/skill-competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-competitor-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel skill-competitor-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/skill-competitor-analysis .opencode/skills/skill-competitor-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-competitor-analysis" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-competitor-analysis into .opencode/skills/skill-competitor-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-competitor-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
skill-competitor-analysis- GitHub stars
- 3.4k
- Token cost
- ~773 tokens
- SKILL.md length
- 148 words
- Files
- 5 (incl. references)
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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. An agent skill from ZJU-REAL/Easel.
- Works in 10 steps: 收集上下文 → 竞品账号画像 → 选题与主题分析 → …
- Tasks that involve Competitor analysis
- SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Competitor Analysis is an agent skill from ZJU-REAL/Easel. 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。
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `EASEL-META.md`, `references/analysis-templates.md` and `references/data-collection.md`).
It sits in Marketing & SEO, covering Competitor analysis. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Competitor analysis
Example prompts
- “竞品在做什么”
- “对手内容策略”
- “/skill-competitor-analysis”
Workflow steps
10 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Skill Competitor Analysis loads about 773 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 148 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 148 words, ~773 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-competitor-analysis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- skill-competitor-analysis
- description
- 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。
- layer
- discover
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
# 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：
- 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
分析竞品的格式偏好和发布规律（更新频率指标与涨粉节奏推断方法参照 viral-patterns.md）：
- 格式分布：图文 / 短视频 / 中长视频 / 直播 / 图片轮播 / 合集
- 发布频率：日更 / 周几更 / 不规律
- 发布时间段：集中在哪些时段
- 平台适配：同一内容在不同平台的差异化处理
5. 爆款内容拆解
爆款判定、拆解维度与"爆款密码"反推方法参照 viral-patterns.md。筛选互动量显著高于均值的内容（≥账号中位数 3–5 倍），逐条拆解：
- 标题/封面：用了什么钩子？（数字、悬念、痛点、反常识、情绪词）
- 内容结构：开头留人方式、中间节奏、结尾引导互动的手法
- 选题时机：是否踩中热点、节日、平台活动
- 格式特征：时长、图片数、排版、字体、BGM 等
6. 互动模式分析
分析竞品内容的互动特征：
- 互动结构：点赞/评论/收藏/转发的比例分布
- 评论区特征：用户主要在讨论什么、情绪倾向
- 博主互动：是否回复评论、回复风格、置顶评论策略
- 收藏型 vs 传播型：哪些内容被收藏多（工具向），哪些被转发多（情绪向）
7. 热点借势分析
用 web_fetch 调用热搜 API（参照 hotlist-apis.md）获取当前各平台热点，然后：
- 对比竞品近期内容与热搜话题的重合度
- 分析竞品追热点的频率、速度、角度
- 评估追热点内容 vs 常规内容的互动差异
- 识别竞品擅长借势的热点类型（社会事件/行业动态/平台梗/节日）
8. SWOT 分析
对每个主要竞品做内容层面的 SWOT：
- S（优势）：内容质量、更新频率、人设辨识度、粉丝粘性
- W（劣势）：格式单一、选题窄、互动少、更新不稳定
- O（机会）：未覆盖的受众需求、新兴平台/格式、赛道空白
- T（威胁）：该竞品对用户的直接竞争压力点
9. 差异化机会挖掘
基于以上分析，找出可切入的差异化方向：
- 选题空白：竞品没做但受众有需求的主题
- 格式差异：竞品集中做图文，可以用短视频突围（反之亦然）
- 人设差异：竞品偏专业严肃，可以走亲和真实路线（反之亦然）
- 受众细分：竞品覆盖大众，可以深耕更垂直的人群
- 平台差异：竞品主攻某平台，可以在另一平台建立优势
10. 输出行动建议
汇总为可落地的行动清单：
- 每条建议标注优先级（高/中/低）和预期效果
- 引用具体竞品数据作为支撑（"竞品 A 用 XX 格式获得了 XX 互动"）
- 区分速赢（本周可做）和长线布局（需要持续积累）
- 建议与用户自身定位和风格匹配
参照 analysis-templates.md 输出竞争矩阵。
Profile 感知
- 有 Profile 时：
- 读取
identity.md：获取用户定位和差异化，精准匹配竞品梯度 - 读取
platforms.md：聚焦用户实际运营的平台，分析该平台上的竞品表现 - 读取
style.md：在行动建议中匹配用户的内容风格和调性偏好 - 读取
audience.md（如有）：用受众画像优化差异化机会分析 - 分析结论中直接对标用户账号，给出"你 vs 竞品"的对比
- 读取
- 无 Profile 时：
- 退回通用模式，要求用户手动提供赛道和竞品信息
- 分析覆盖全平台，不做平台特化
- 附注"如提供账号 Profile 可获得更精准的竞品对标和差异化建议"
© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (references) in skills/openclaw/skill-competitor-analysis of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
- references/analysis-templates.md
- references/data-collection.md
- references/viral-patterns.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Skill Competitor Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Competitor Analysis this skillZJU-REAL/Easel | 3.4k | — | ~773 | Automated safety check: Pass | Apache-2.0 | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor ProfilingNexus-JPF/note-companion | 870 | 4 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Startup Competitorsferdinandobons/startup-skill | 1.2k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 1 repos | ~3.2k | Automated safety check: Pass | MIT |
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社媒卡片视觉设计系统：提供配色、中文字体层级、满画幅布局、品类骨架和死空白/密度质检，避免模板化 PPT 与廉价 AI 感。
Ecom Details Image
ZJU-REAL/Easel
生成电商商品视觉方案：主图概念、场景图、详情页视觉方向和 AI 生图 Prompt. An agent skill from ZJU-REAL/Easel.
Infographic
ZJU-REAL/Easel
将数据或文字内容转化为可视化信息图，支持静态（AntV）和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画；要单张静态图片 URL 用 chart-visualization，要 CSV/JSON→整页报告用 data-report
Novel Writer
ZJU-REAL/Easel
长篇小说/网文连载创作：从世界观、人设和三级大纲写到逐章正文，并用文件化状态维护伏笔、前情和跨章一致性. An agent skill from ZJU-REAL/Easel.
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Questions about Skill Competitor Analysis
What does Skill Competitor Analysis do?
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. An agent skill from ZJU-REAL/Easel. Skill Competitor Analysis is an agent skill from ZJU-REAL/Easel.
When should I use Skill Competitor Analysis?
Skill Competitor Analysis fits situations like: tasks that involve Competitor analysis.
How do I install Skill Competitor Analysis in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a claude-code`. Or copy the skill folder (skills/openclaw/skill-competitor-analysis in ZJU-REAL/Easel) into .claude/skills/skill-competitor-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Skill Competitor Analysis in Codex?
Run `npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a codex`. Or copy the skill folder (skills/openclaw/skill-competitor-analysis in ZJU-REAL/Easel) into .agents/skills/skill-competitor-analysis in your project. Codex loads it when a task matches its description.
Can I use Skill Competitor Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-competitor-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-competitor-analysis, .gemini/skills/skill-competitor-analysis, .github/skills/skill-competitor-analysis and .opencode/skills/skill-competitor-analysis in your project.
What does Skill Competitor Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Competitor Analysis is instructions for the agent only.
Does Skill Competitor Analysis access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Skill Competitor Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Skill Competitor Analysis use?
Skill Competitor Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Skill Competitor Analysis use?
About 773 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Skill Competitor Analysis?
Skills that share tags, products or a category with Skill Competitor Analysis: SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Profiling (Nexus-JPF/note-companion, 870 stars) and Startup Competitors (ferdinandobons/startup-skill, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Competitor Analysis?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.
Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.