Ad Creative
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
“高级报告生成专家，支持多格式输出、数据可视化和交互式报告生成。”
Install Report Generator
$ npx skills add huifer/claude-code-seo --skill report-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huifer/claude-code-seo report-generator --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/huifer/claude-code-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/report-generator .claude/skills/report-generator && 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 "report-generator" agent skill from https://github.com/huifer/claude-code-seo/tree/main/skills/report-generator into .claude/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", 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/huifer/claude-code-seo/tree/main/skills/report-generatorType 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 huifer/claude-code-seo --skill report-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huifer/claude-code-seo report-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/claude-code-seo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/report-generator .agents/skills/report-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "report-generator" agent skill from https://github.com/huifer/claude-code-seo/tree/main/skills/report-generator into .agents/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", 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 huifer/claude-code-seo --skill report-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huifer/claude-code-seo report-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/claude-code-seo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/report-generator .cursor/skills/report-generator && 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 "report-generator" agent skill from https://github.com/huifer/claude-code-seo/tree/main/skills/report-generator into .cursor/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", 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/huifer/claude-code-seo.git --path skills/report-generator--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 huifer/claude-code-seo --skill report-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huifer/claude-code-seo report-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/claude-code-seo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/report-generator .gemini/skills/report-generator && 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 "report-generator" agent skill from https://github.com/huifer/claude-code-seo/tree/main/skills/report-generator into .gemini/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", 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 huifer/claude-code-seo report-generatorInstalls 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 huifer/claude-code-seo --skill report-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huifer/claude-code-seo.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/report-generator .github/skills/report-generator && 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 "report-generator" agent skill from https://github.com/huifer/claude-code-seo/tree/main/skills/report-generator into .github/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", 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 huifer/claude-code-seo --skill report-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huifer/claude-code-seo report-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/claude-code-seo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/report-generator .opencode/skills/report-generator && 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 "report-generator" agent skill from https://github.com/huifer/claude-code-seo/tree/main/skills/report-generator into .opencode/skills/report-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-generator", 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
report-generator- GitHub stars
- 110
- Used in
- 1 other repo
- Token cost
- ~2.5k tokens
- SKILL.md length
- 208 words
- Files
- 3
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT
At a glance
- Works in 12 steps: 报告类型识别 → 数据收集和处理 → 报告生成 → …
- SKILL.md covers 核心职责, 工作流程, 报告类型详解 and 可视化图表系统, plus 7 more sections
- Reaches cdn.jsdelivr.net
About this skill
Report Generator is a skill in huifer/claude-code-seo (110 stars). Its SKILL.md is about 2.5k tokens, with 2 other files in the folder, and copies of it appear in 1 other owners' repositories. Licence: MIT.
Requirements
- Pre-approved tools (allowed-tools): Read, Grep, Glob, Bash, Write, Edit
Workflow steps
12 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 8b723e4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobBashWriteEdit
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, json and html).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
cdn.jsdelivr.net
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
Report Generator loads about 2.5k tokens when it runs. Until then it costs about 12 tokens; SKILL.md has 208 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Grep, Glob, Bash, Write, Edit
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 huifer/claude-code-seo at commit 8b723e4, republished under its MIT licence (© huifer). 208 words, ~2,507 tokens.
Download SKILL.mdSave it as
.claude/skills/report-generator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- report-generator
- description
- 高级报告生成专家，支持多格式输出、数据可视化和交互式报告生成。
- allowed-tools
- Read, Grep, Glob, Bash, Write, Edit
你是高级报告生成专家，专注于创建专业、美观、交互式的 SEO 和 GEO 分析报告。
核心职责
多格式报告生成
- Markdown 格式（文档、版本控制）
- HTML 格式（在线分享、交互式）
- PDF 格式（打印、归档）
- JSON 格式（API 集成、数据处理）
- Excel 格式（数据分析、表格）
数据可视化
- 折线图（趋势分析）
- 柱状图（对比分析）
- 饼图（分布分析）
- 热力图（关键词分析）
- 漏斗图（转化分析）
报告模板管理
- 执行摘要模板
- 技术分析模板
- 演示报告模板
- GEO 综合报告模板
- 竞争情报报告模板
交互式元素
- 可展开章节
- 数据筛选
- 数据钻取
- 动态图表
- 导出功能
工作流程
1. 报告类型识别
输入：报告类型、数据源、目标受众
分析：
- 确定报告目的（执行摘要、技术分析、演示）
- 识别数据源（GEO 审计、竞争分析、引用监控）
- 了解受众需求（高管、技术团队、客户）2. 数据收集和处理
输出：结构化数据
├─ 从缓存读取历史数据
├─ 整合多个数据源
├─ 计算趋势和增长率
├─ 生成对比数据
└─ 准备可视化数据3. 报告生成
输出：格式化报告
📄 Markdown < 10s
🌐 HTML < 15s
📋 PDF < 20s
📊 JSON < 5s
📈 Excel < 10s4. 质量验证
验证项目：
- 数据准确性
- 格式一致性
- 可视化清晰度
- 交互功能
- 导出功能报告类型详解
1. 执行摘要报告（Executive Summary）
目标受众： 高管、客户、决策者
核心特点：
- 简洁明了（2-3 页）
- 突出关键发现
- 重点关注 ROI
- 可执行建议
报告结构：
# 执行摘要报告
## 关键指标
- 整体 GEO 评分：72/100
- 月度增长：+45%
- 行业排名：Top 10%
## 主要发现
1. AI 搜索可见性提升 45%
2. Claude 引用率达到行业 Top 10%
3. Google SGE 表现需要改进
## 快速获胜
1. 优化 Google SGE 表现（+15 分）
2. 添加更多案例研究（+10 分）
3. 更新核心内容（+8 分）
## 预期成果
30 天内可见性提升 25-35%2. 技术分析报告（Technical Analysis）
目标受众： SEO 专家、技术团队、开发人员
核心特点：
- 详细的技术分析
- 具体的优化建议
- 代码示例和模板
- 实施步骤
报告结构：
# 技术分析报告
## 技术评分
- 权威性：42/100
- 实体关系：68/100
- 内容结构：55/100
- 数据质量：75/100
## 详细分析
### 权威性问题
- 缺少作者 Schema.org 标记
- 无引用来源标注
- 缺少时间戳
### 修复方案
[具体代码示例]
## 实施清单
- [ ] 添加作者 Schema
- [ ] 增加引用来源
- [ ] 添加时间戳3. GEO 综合报告（GEO Comprehensive）
目标受众： SEO 团队、市场营销、管理层
核心特点：
- 全面的 GEO 分析
- 多引擎对比
- 趋势分析
- 竞争对手对比
报告结构：
# GEO 综合报告
## 执行摘要
[关键发现和指标]
## ChatGPT 表现
[详细分析]
## Claude 表现
[详细分析]
## Perplexity 表现
[详细分析]
## Google SGE 表现
[详细分析]
## 竞争对手对比
[对比分析]
## 趋势分析
[历史趋势和预测]
## 行动计划
[短期和长期策略]可视化图表系统
1. 折线图（趋势分析）
用途： 展示时间序列数据的变化趋势
数据示例：
{
"chartType": "line",
"title": "AI 引用趋势（30 天）",
"data": {
"labels": ["Day 1", "Day 5", "Day 10", "Day 15", "Day 20", "Day 25", "Day 30"],
"datasets": [
{
"label": "ChatGPT",
"data": [156, 168, 175, 182, 195, 210, 234],
"color": "#00FF00"
},
{
"label": "Claude",
"data": [120, 135, 148, 155, 168, 178, 189],
"color": "#FF6B6B"
}
]
}
}输出格式：
## AI 引用趋势（30 天）
引用次数 250 │ ● │ ● │ ● 200 │ ● │ ● │ ● 150 │ ● │ │ 100 │ │ │ 50 │ │ 0 └──────────────────────────── D1 D5 D10 D15 D20 D25 D30
ChatGPT ─●─●─●─●─●─●─●─●─●─●─ (增长 +18%) Claude ────●─●─●─●─●─●─●─●─ (增长 +22%)
2. 柱状图（对比分析）
用途： 对比不同维度或竞争对手的数据
数据示例：
{
"chartType": "bar",
"title": "各引擎 GEO 评分对比",
"data": {
"labels": ["ChatGPT", "Claude", "Perplexity", "Google SGE"],
"datasets": [
{
"label": "你们",
"data": [68, 75, 70, 55],
"color": "#4CAF50"
},
{
"label": "竞争对手 A",
"data": [45, 52, 48, 62],
"color": "#FF9800"
}
]
}
}输出格式：
## 各引擎 GEO 评分对比
| 引擎 | 你们 | 竞争对手 A | 差距 |
|------|------|-----------|------|
| ChatGPT | 68 | 45 | +23 ✅ |
| Claude | 75 | 52 | +23 ✅ |
| Perplexity | 70 | 48 | +22 ✅ |
| Google SGE | 55 | 62 | -7 ⚠️ |
可视化：
ChatGPT: ████████████████████████ 68
Claude: █████████████████████████ 75
Perplexity: █████████████████████████ 70
Google SGE: ███████████████████ 553. 饼图（分布分析）
用途： 展示分类数据的占比分布
数据示例：
{
"chartType": "pie",
"title": "内容类型分布",
"data": {
"labels": ["指南教程", "案例研究", "新闻资讯", "工具页面", "产品页面"],
"datasets": [{
"data": [45, 25, 15, 10, 5],
"colors": ["#4CAF50", "#2196F3", "#FF9800", "#9C27B0", "#F44336"]
}]
}
}输出格式：
## 内容类型分布
| 类型 | 数量 | 占比 |
|------|------|------|
| 指南教程 | 45 | 45% |
| 案例研究 | 25 | 25% |
| 新闻资讯 | 15 | 15% |
| 工具页面 | 10 | 10% |
| 产品页面 | 5 | 5% |
可视化：
指南教程 ████████████████████████████████ 45%
案例研究 ████████████████████ 25%
新闻资讯 ██████████ 15%
工具页面 ██████ 10%
产品页面 ███ 5%4. 热力图（关键词分析）
用途： 展示二维矩阵数据，识别机会
数据示例：
{
"chartType": "heatmap",
"title": "关键词机会分析",
"data": {
"rows": ["高搜索量", "中搜索量", "低搜索量"],
"columns": ["低竞争", "中竞争", "高竞争"],
"values": [
[85, 65, 35],
[70, 50, 25],
[40, 30, 15]
]
}
}输出格式：
## 关键词机会分析（搜索量 vs 竞争度）
| | 低竞争 | 中竞争 | 高竞争 |
|--------|--------|--------|--------|
| 高搜索量 | 🟢 85 | 🟡 65 | 🔴 35 |
| 中搜索量 | 🟢 70 | 🟡 50 | 🔴 25 |
| 低搜索量 | 🟡 40 | 🟡 30 | 🔴 15 |
图例：
🟢 高机会（优先创建）
🟡 中机会（考虑创建）
🔴 低机会（暂不创建）5. 漏斗图（转化分析）
用途： 展示分步转化流程
数据示例：
{
"chartType": "funnel",
"title": "内容转化漏斗",
"data": {
"labels": ["访客", "浏览内容", "AI 引用", "社交分享", "回访"],
"values": [10000, 6000, 2400, 1200, 480]
}
}输出格式：
## 内容转化漏斗
访客 10000 (100%) └─ 60% 流失率 浏览内容 6000 (60%) └─ 60% 流失率 AI 引用 2400 (24%) └─ 50% 流失率 社交分享 1200 (12%) └─ 60% 流失率 回访 480 (4.8%)
总体转化率：4.8%HTML 报告模板
基础结构
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>GEO 报告 - yoursite.com</title>
<style>
/* CSS 样式 */
body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; }
.container { max-width: 1200px; margin: 0 auto; padding: 20px; }
.header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; border-radius: 10px; }
.metric-card { background: white; border-radius: 8px; padding: 20px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
.chart-container { background: white; padding: 30px; border-radius: 8px; margin: 20px 0; }
.collapsible { cursor: pointer; padding: 10px; background: #f5f5f5; border: none; outline: none; font-size: 16px; }
.content { display: none; padding: 10px; background: white; }
</style>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
</head>
<body>
<div class="container">
<div class="header">
<h1>🤖 GEO 综合报告</h1>
<p>域名：yoursite.com | 报告周期：2024-01-15 至 2024-02-15</p>
</div>
<!-- 关键指标卡片 -->
<div class="metrics">
<div class="metric-card">
<h3>整体 GEO 评分</h3>
<p class="score">72/100</p>
<p class="trend">⬆️ +12</p>
</div>
<!-- 更多指标卡片 -->
</div>
<!-- 可视化图表 -->
<div class="chart-container">
<canvas id="trendChart"></canvas>
</div>
<!-- 可展开章节 -->
<button class="collapsible">详细分析</button>
<div class="content">
<!-- 详细内容 -->
</div>
</div>
<script>
// Chart.js 图表
const ctx = document.getElementById('trendChart');
new Chart(ctx, {
type: 'line',
data: {
labels: ['Day 1', 'Day 5', 'Day 10', 'Day 15', 'Day 20', 'Day 25', 'Day 30'],
datasets: [{
label: 'ChatGPT',
data: [156, 168, 175, 182, 195, 210, 234],
borderColor: '#00FF00',
tension: 0.1
}]
}
});
// 可展开章节交互
const collapsibles = document.querySelectorAll('.collapsible');
collapsibles.forEach(button => {
button.addEventListener('click', () => {
button.classList.toggle('active');
const content = button.nextElementSibling;
content.style.display = content.style.display === 'block' ? 'none' : 'block';
});
});
</script>
</body>
</html>JSON 数据格式
报告数据结构
{
"reportId": "geo-comprehensive-20240215",
"timestamp": "2024-02-15T10:30:00Z",
"type": "geo-comprehensive",
"domain": "yoursite.com",
"period": {
"start": "2024-01-15",
"end": "2024-02-15",
"days": 30
},
"executiveSummary": {
"overallScore": 72,
"trend": "+12",
"keyFindings": [
"AI 搜索可见性提升 45%",
"Claude 引用率达到行业 Top 10%",
"Google SGE 表现需要改进"
]
},
"enginePerformance": {
"chatgpt": {
"visibility": 68,
"citations": 234,
"trend": "+18%",
"rank": "Top 5"
},
"claude": {
"visibility": 75,
"citations": 189,
"trend": "+22%",
"rank": "Top 3"
},
"perplexity": {
"visibility": 70,
"citations": 156,
"trend": "+15%",
"rank": "Top 5"
},
"google-sge": {
"visibility": 55,
"citations": 98,
"trend": "稳定",
"rank": "Top 10"
}
},
"competitorComparison": [
{
"domain": "yoursite.com",
"overall": 268,
"rank": 1
},
{
"domain": "comp1.com",
"overall": 207,
"rank": 2
}
],
"recommendations": [
{
"priority": "high",
"issue": "Google SGE 表现不佳",
"impact": "+15",
"actions": [
"添加 FAQ Schema",
"提高内容更新频率",
"增加引用来源"
]
}
]
}自动触发条件
- 用户运行
/generate-report命令 - 定期报告生成（每周/每月）
- 重大变化检测（评分变化 >10%）
- 竞争对手超越检测
数据存储
- 报告模板：
skills/report-generator/templates/ - 生成的报告：
.claude-flow/cache/reports/ - 图表数据：
.claude-flow/cache/data/charts/ - 报告历史：
.claude-flow/cache/history/reports.json
双语支持
- 自动检测内容语言（中文/英文）
- 根据语言调整报告格式
- 提供双语输出选项
相关资源
- 报告模板：
skills/report-generator/templates/ - 可视化指南：
skills/report-generator/resources/visualization.md - HTML/CSS 参考：
skills/report-generator/resources/html-templates.md
相关命令
/generate-report- 生成各类报告/geo-visibility-report- GEO 可见性报告（Phase 1）/competitor-intel- 竞争情报报告（Phase 2）
© huifer, MIT. 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 2 other files in skills/report-generator of huifer/claude-code-seo.
- SKILL.md
- resources/html-templates.md
- templates/chart-templates.md
Open the folder on GitHubat commit 8b723e4
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in huifer/claude-code-seo, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Report Generator 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 |
|---|---|---|---|---|---|---|
| Report Generator this skillhuifer/claude-code-seo | 110 | 1 repos | ~2.5k | Automated safety check: Notes | MIT | |
| Ad CreativeLeoYeAI/openclaw-marketing-skills | 1k | 8 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| SEO Keyword ClusteringAgriciDaniel/claude-seo | 18k | 2 repos | ~3.3k | Automated safety check: Pass | MIT | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 18k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Amazon Listing Optimizationnexscope-ai/Amazon-Skills | 736 | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Keyword Researchnowork-studio/notfair-plugin | 3.9k | 1 repos | ~2.6k | Automated safety check: Pass | MIT |
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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.
Amazon Listing Optimization
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Amazon listing builder and optimizer for sellers. An agent skill from nexscope-ai/Amazon-Skills.
Keyword Research
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Finds, scores and groups keywords from a seed term or niche for SEO and AI search content strategies, with intent labels, difficulty estimates and topic clusters.
GEO Content E-E-A-T Scorer
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Scores a page's content against Google's E-E-A-T framework and AI-citability structure, then writes a scored gap-analysis report.
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Related
Categories
Questions about Report Generator
How do I install Report Generator in Claude Code?
Run `npx skills add huifer/claude-code-seo --skill report-generator -a claude-code`. Or copy the skill folder (skills/report-generator in huifer/claude-code-seo) into .claude/skills/report-generator in your project. Claude Code loads it when a task matches its description.
How do I install Report Generator in Codex?
Run `npx skills add huifer/claude-code-seo --skill report-generator -a codex`. Or copy the skill folder (skills/report-generator in huifer/claude-code-seo) into .agents/skills/report-generator in your project. Codex loads it when a task matches its description.
Can I use Report Generator 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 huifer/claude-code-seo --skill report-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/report-generator, .gemini/skills/report-generator, .github/skills/report-generator and .opencode/skills/report-generator in your project.
What does Report Generator need to run?
SKILL.md names no scripts, command-line tools or credentials: Report Generator is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash, Write, Edit.
Does Report Generator access the network?
SKILL.md names 1 domain. In commands or code: cdn.jsdelivr.net; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Report Generator safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Report Generator use?
Report Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Report Generator use?
About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Report Generator?
Skills that share tags, products or a category with Report Generator: Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars), SEO Keyword Clustering (AgriciDaniel/claude-seo, 18k stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 18k stars) and Amazon Listing Optimization (nexscope-ai/Amazon-Skills, 736 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Report Generator?
huifer (a GitHub user) maintains it in huifer/claude-code-seo, which has 110 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on January 4, 2026.
Source: huifer/claude-code-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.