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Agent Skill · 研究检索

competitive-ads-extractor(竞争性广告提取器)

competitive-ads-extractor 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

competitive-ads-extractor 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 16,339。

总安装 7,247周安装 305GitHub Stars 26,374下载 2,538核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:competitive-ads-extractor(竞争性广告提取器)
来源仓库:https://github.com/davila7/claude-code-templates
仓库路径:skills/competitive-ads-extractor
安装命令:
npx skills add https://github.com/davila7/claude-code-templates --skill competitive-ads-extractor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/davila7/claude-code-templates --skill competitive-ads-extractor

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

竞争性广告提取器技能从 Facebook、LinkedIn 等平台抓取对手广告素材与文案。适用于市场洞察、创意灵感获取与竞品策略逆向分析场景。输出包含痛点、用例与转化要素的结构化分析报告。受限于平台公开政策,无法获取私密投放账户或非公开测试广告。

competitive-ads-extractor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/competitive-ads-extractor

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/davila7/claude-code-templates --skill competit…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

competitive-ads-extractor 怎么安装?

在终端执行 npx skills add https://github.com/davila7/claude-code-templates --skill competitive-ads-ex…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

competitive-ads-extractor 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

competitive-ads-extractor 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

competitive-ads-extractor 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

competitive-ads-extractor 用的人多吗?

公开数据是累计安装 7,247 次,近一周安装 305 次,下载 2,538 次,GitHub 26,374 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

competitive-ads-extractor 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 26,374 星,维护活跃度相对可查。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
competitive-ads-extractor

竞争性广告提取器 · 本页

7,24726,374只读MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Competitive Ads Extractor

This skill extracts your competitors' ads from ad libraries and analyzes what's working—the problems they're highlighting, use cases they're targeting, and copy/creative that's resonating.

When to Use This Skill

  • Researching competitor ad strategies
  • Finding inspiration for your own ads
  • Understanding market positioning
  • Identifying successful ad patterns
  • Analyzing messaging that works
  • Discovering new use cases or pain points
  • Planning ad campaigns with proven concepts

What This Skill Does

  1. Extracts Ads: Scrapes ads from Facebook Ad Library, LinkedIn, etc.
  2. Captures Screenshots: Saves visual copies of all ads
  3. Analyzes Messaging: Identifies problems, use cases, and value props
  4. Categorizes Ads: Groups by theme, audience, or format
  5. Identifies Patterns: Finds common successful approaches
  6. Provides Insights: Explains why certain ads likely perform well

How to Use

Basic Extraction

Extract all current ads from [Competitor Name] on Facebook Ad Library
Scrape ads from [Company] and analyze their messaging

Specific Analysis

Get all ads from [Competitor] focusing on their messaging
about [specific problem]. What pain points are they highlighting?

Competitive Set

Extract ads from these 5 competitors: [list].
Compare their approaches and tell me what's working.

Specific Platform

Get LinkedIn ads from [Competitor] and analyze their
B2B positioning strategy

Example

User: "Extract ads from Notion on Facebook Ad Library and tell me what messaging is working for them."

Process:

Accessing Facebook Ad Library...
Searching for: Notion
Found: 23 active ads

Extracting screenshots...
[████████████████████] 100%

Saved to: competitor-ads/notion/
- ad-001-collaboration.png
- ad-002-productivity.png
- ad-003-templates.png
...

Analyzing messaging...

Output:

# Notion Ad Analysis

## Overview
- Total Ads: 23 active
- Primary Themes: Productivity (35%), Collaboration (30%),
  Templates (20%), AI Features (15%)
- Ad Formats: Static images (60%), Video (40%)
- CTA Patterns: "Try for free", "Get started"

## Key Problems They're Highlighting

1. **Scattered Information** (8 ads)
   Copy: "Stop switching between 10 different tools"
   Why it works: Direct pain point many teams face

2. **Meeting Overload** (5 ads)
   Copy: "Replace unnecessary meetings with async updates"
   Why it works: Post-COVID remote work pain point

3. **Lost Documentation** (4 ads)
   Copy: "Never ask 'where is that doc?' again"
   Why it works: Universal workplace frustration

## Successful Creative Patterns

### Pattern 1: Before/After Split
- Shows chaotic tool landscape → Clean Notion workspace
- Used in 6 high-performing ads
- Visual metaphor is immediately clear

### Pattern 2: Feature Showcase
- GIF of actual product usage
- Shows specific feature in 5 seconds
- Used for new features (AI, templates)

### Pattern 3: Social Proof
- "Join 20M users" messaging
- Customer logos
- Used in 4 ads targeting enterprise

## Copy That's Working

Best Headlines:
1. "Your team's knowledge, finally in one place"
   → Benefit-focused, addresses pain directly

2. "The all-in-one workspace"
   → Clear positioning, broad appeal

3. "AI that actually helps you work"
   → Addresses AI skepticism, practical angle

Best Body Copy Patterns:
- Short sentences (under 10 words)
- Focus on outcomes not features
- Include specific numbers ("Cut meetings by 50%")

## Audience Targeting Insights

Based on ad variations:
- Startup founders: Solo productivity angle
- Team leads: Collaboration and alignment
- Enterprise: Security and compliance mentions
- Students: Free plan, templates, organization

## Recommendations for Your Ads

1. **Test the "tool sprawl" pain point**
   → Strong resonance based on their ad frequency

2. **Use product screenshots over abstract visuals**
   → All their top ads show actual UI

3. **Lead with the problem, not the solution**
   → "Tired of X?" performs better than "Introducing Y"

4. **Keep copy under 100 characters**
   → Their shortest ads seem most frequent

5. **Test before/after visual formats**
   → Proven pattern in their creative

## Files Saved
- All ads: ~/competitor-ads/notion/
- Analysis: ~/competitor-ads/notion/analysis.md
- Best performers: ~/competitor-ads/notion/top-10/

Inspired by: Sumant Subrahmanya's use case from Lenny's Newsletter

What You Can Learn

Messaging Analysis

  • What problems they emphasize
  • How they position against competition
  • Value propositions that resonate
  • Target audience segments

Creative Patterns

  • Visual styles that work
  • Video vs. static image performance
  • Color schemes and branding
  • Layout patterns

Copy Formulas

  • Headline structures
  • Call-to-action patterns
  • Length and tone
  • Emotional triggers

Campaign Strategy

  • Seasonal campaigns
  • Product launch approaches
  • Feature announcement tactics
  • Retargeting patterns

Best Practices

Legal & Ethical

✓ Only use for research and inspiration ✓ Don't copy ads directly ✓ Respect intellectual property ✓ Use insights to inform original creative ✗ Don't plagiarize copy or steal designs

Analysis Tips

  1. Look for patterns: What themes repeat?
  2. Track over time: Save ads monthly to see evolution
  3. Test hypotheses: Adapt successful patterns for your brand
  4. Segment by audience: Different messages for different targets
  5. Compare platforms: LinkedIn vs Facebook messaging differs

Advanced Features

Trend Tracking

Compare [Competitor]'s ads from Q1 vs Q2.
What messaging has changed?

Multi-Competitor Analysis

Extract ads from [Company A], [Company B], [Company C].
What are the common patterns? Where do they differ?

Industry Benchmarks

Show me ad patterns across the top 10 project management
tools. What problems do they all focus on?

Format Analysis

Analyze video ads vs static image ads from [Competitor].
Which gets more engagement? (if data available)

Common Workflows

Ad Campaign Planning

  1. Extract competitor ads
  2. Identify successful patterns
  3. Note gaps in their messaging
  4. Brainstorm unique angles
  5. Draft test ad variations

Positioning Research

  1. Get ads from 5 competitors
  2. Map their positioning
  3. Find underserved angles
  4. Develop differentiated messaging
  5. Test against their approaches

Creative Inspiration

  1. Extract ads by theme
  2. Analyze visual patterns
  3. Note color and layout trends
  4. Adapt successful patterns
  5. Create original variations

Tips for Success

  1. Regular Monitoring: Check monthly for changes
  2. Broad Research: Look at adjacent competitors too
  3. Save Everything: Build a reference library
  4. Test Insights: Run your own experiments
  5. Track Performance: A/B test inspired concepts
  6. Stay Original: Use for inspiration, not copying
  7. Multiple Platforms: Compare Facebook, LinkedIn, TikTok, etc.

Output Formats

  • Screenshots: All ads saved as images
  • Analysis Report: Markdown summary of insights
  • Spreadsheet: CSV with ad copy, CTAs, themes
  • Presentation: Visual deck of top performers
  • Pattern Library: Categorized by approach

Related Use Cases

  • Writing better ad copy for your campaigns
  • Understanding market positioning
  • Finding content gaps in your messaging
  • Discovering new use cases for your product
  • Planning product marketing strategy
  • Inspiring social media content

平台分布

Claude Code

27.45%
按下载量换算697

OpenCode

23.87%
按下载量换算606

Cursor

18.38%
按下载量换算466

Gemini CLI

12.51%
按下载量换算318

Antigravity

8.69%
按下载量换算221

Codex

3.72%
按下载量换算94

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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