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Agent Skill · 研究检索

search-ad-keyword-architect(搜索广告关键词架构师)

search-ad-keyword-architect 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。

search-ad-keyword-architect 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 69,087。

总安装 220周安装 9GitHub Stars 607下载 71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
unknown

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:search-ad-keyword-architect(搜索广告关键词架构师)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/search-ad-keyword-architect
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill search-ad-keyword-architect
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/athina-ai/goose-skills --skill search-ad-keyword-architect

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。

search-ad-keyword-architect 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。它可结合来源仓库、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或文件读写。适用于广告关键词研究与搜索优化场景。通过 npx skills add 命令从指定 GitHub 仓库安装。

来源仓库内路径:skills/search-ad-keyword-architect

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/athina-ai/goose-skills --skill search-ad-keywo…;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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

search-ad-keyword-architect 怎么安装?

在终端执行 npx skills add https://github.com/athina-ai/goose-skills --skill search-ad-keyword-archite…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

search-ad-keyword-architect 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。

search-ad-keyword-architect 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

search-ad-keyword-architect 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

search-ad-keyword-architect 用的人多吗?

公开数据是累计安装 220 次,近一周安装 9 次,下载 71 次,GitHub 607 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。

search-ad-keyword-architect 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
search-ad-keyword-architect

搜索广告关键词架构师 · 本页

220607接触敏感数据未明确有提醒

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

Search Ad Keyword Architect

Build a comprehensive keyword architecture for paid search campaigns. Goes beyond basic keyword lists by organizing terms into a strategic framework: funnel stages, intent buckets, match types, and competitive density tiers.

Core principle: Bad keyword strategy is the #1 reason startups waste money on Google Ads. This skill builds the strategic foundation before you write a single ad.

When to Use

  • "Do keyword research for our Google Ads"
  • "What keywords should we bid on?"
  • "Build a keyword strategy for paid search"
  • "Audit our existing keyword list"
  • "Find high-intent keywords in our space"

Phase 0: Intake

  1. Product name + URL — What are we advertising?
  2. Product category — How would a buyer search for this? (e.g., "sales automation", "AI writing tool")
  3. ICP — Target buyer role, company stage, pain points
  4. Competitor domains — 3-5 competitors
  5. Monthly PPC budget — Affects aggressiveness of recommendations
  6. Existing keywords? — Currently bidding on anything?
  7. Known converting keywords? — Any existing performance data

Phase 1: Keyword Universe Building

1A: Competitor SEO Keyword Mining

For each competitor, research their organic keyword rankings:

# If seo-domain-analyzer available:
python3 skills/seo-domain-analyzer/scripts/analyze_domain.py \
  --domain <competitor_domain> \
  --output json

Also web search:

Search: site:<competitor_domain> [product category keywords]
Search: <competitor> SEO keywords ranking
Search: <competitor> top pages organic traffic

Extract keywords with buying intent — skip informational-only terms.

1B: Review & Community Language Mining

The exact language buyers use matters more than what marketers think they search:

Reviews:

python3 skills/review-scraper/scripts/scrape_reviews.py \
  --product "<your product>" \
  --product "<competitor>" \
  --platforms g2,capterra \
  --output json

Extract phrases like:

  • "I was looking for a [term] that could..."
  • "We switched from [X] because we needed..."
  • "Best [term] for [use case]"

Reddit:

python3 skills/reddit-scraper/scripts/scrape_reddit.py \
  --query "best <category> tool OR software OR platform" \
  --sort relevance \
  --time year \
  --limit 30

Hacker News:

python3 skills/hacker-news-scraper/scripts/scrape_hn.py \
  --query "<product category>" \
  --type story \
  --limit 20

1C: Your Site Content Audit

python3 skills/site-content-catalog/scripts/catalog_site.py \
  --url <your_website> \
  --output json

Identify:

  • Pages that could serve as landing pages
  • Keywords your content already ranks for (leverage in ads)
  • Gaps — search terms you're not covering

1D: Search Suggest & Related Terms

Search: "[category] tool" → note Google autocomplete suggestions
Search: "[category] software for [ICP role]"
Search: "[pain point] solution"
Search: "how to [problem your product solves]"

Phase 2: Keyword Architecture

2A: Funnel Stage Mapping

Organize all keywords by buyer journey stage:

StageIntent SignalExample KeywordsBid Priority
Problem-awareSearching for solutions to a pain"how to scale outbound without hiring SDRs"Medium — educational intent
Solution-awareSearching for a category"AI SDR tool", "outbound automation platform"High — comparing options
Product-awareSearching for specific products"[competitor] alternative", "[competitor] vs"Very high — close to purchase
Most-awareSearching for your brand"[your brand]", "[your brand] pricing"Must-have — defend brand

2B: Intent Classification

Intent TypeAd Group StrategyLanding Page Strategy
Transactional ("buy", "pricing", "free trial")Aggressive bid, exact matchDirect product/pricing page
Commercial ("best", "top", "vs", "alternative")Strong bid, exact + phraseComparison or feature page
Informational ("how to", "what is", "guide")Low bid or skip — save for SEOBlog/resource (if targeting)
Navigational (brand searches)Must-bid, exact matchHomepage or brand LP

2C: Competitive Density Assessment

For top 30 keywords, estimate competition level:

DensitySignalStrategy
LowFew ads showing, no big brandsBid aggressively — first mover advantage
MediumSome competitors, not saturatedBid strategically — differentiate with copy
HighMajor players dominatingBid selectively — long-tail variants, exact match only
Very highBig ad budgets, position 1-4 lockedAvoid head-on — focus on long-tail or competitor terms

2D: Match Type Matrix

KeywordExact [keyword]Phrase "keyword"Broad keywordRecommendation
[keyword 1]✓✓✗Start exact, expand to phrase after data
[keyword 2]✓✗✗Exact only — too broad in phrase
[keyword 3]✓✓✓All match types — high-volume, need coverage

Phase 3: Negative Keyword Architecture

Category Negatives

[Industry]-specific terms that share words with your keywords but wrong intent

Intent Negatives

jobs, careers, hiring, salary, internship
free, open source, download (if not applicable)
tutorial, course, certification, how to become
login, support, help, documentation
review, reddit, quora, forum (if not desired)

Competitor Brand Negatives (Optional)

If not running competitor campaigns, negative-match competitor brand names to prevent waste.

Phase 4: Output Format

# Keyword Architecture — [Product Name] — [DATE]

## Research Summary
- Sources analyzed: [competitor SEO, reviews, Reddit, HN, site audit]
- Total keywords discovered: [N]
- After dedup + filtering: [N]
- Recommended for campaign: [N]

---

## Keyword Universe by Funnel Stage

### Most-Aware (Brand Defense)
| Keyword | Match Type | Est. Volume | Competition | Priority |
|---------|-----------|------------|-------------|----------|
| [keyword] | Exact | [H/M/L] | Low | Must-have |

### Product-Aware (Competitor Capture)
| Keyword | Match Type | Est. Volume | Competition | Priority |
...

### Solution-Aware (Category)
...

### Problem-Aware (Top of Funnel)
...

---

## Recommended Ad Group Structure

| Ad Group | Theme | Keywords | Match Types | Landing Page |
|----------|-------|----------|------------|-------------|
| [Name] | [Theme] | [N] keywords | [Exact + Phrase] | [URL] |

---

## Negative Keyword Lists

### Campaign-Level Negatives
[List]

### Ad Group-Level Negatives
[Per ad group]

---

## Competitive Density Map

| Keyword Theme | Your Position | Top Competitors Bidding | Density | Recommendation |
|--------------|--------------|------------------------|---------|---------------|
| [Theme] | [Not bidding / Bidding] | [Names] | [H/M/L] | [Bid / Skip / Long-tail] |

---

## Quick Wins (Start Here)

Top 10 keywords to launch with — highest intent, manageable competition:

| # | Keyword | Match Type | Intent | Competition | Why |
|---|---------|-----------|--------|-------------|-----|
| 1 | [keyword] | Exact | Transactional | Medium | [Reason] |
...

---

## Budget Allocation Recommendation

| Funnel Stage | % of Budget | Reasoning |
|-------------|------------|-----------|
| Brand defense | [X%] | Protect brand searches |
| Competitor capture | [X%] | High-intent, ready to switch |
| Solution-aware | [X%] | Category buyers — highest volume |
| Problem-aware | [X%] | Only if budget allows |

Save to clients/<client-name>/ads/keyword-architecture-[YYYY-MM-DD].md.

Cost

ComponentCost
SEO domain analyzer (per competitor)~$0.10-0.30 (Apify)
Review scraper~$0.10-0.30 (Apify)
Reddit scraper~$0.05-0.10 (Apify)
HN scraperFree
Site content catalogFree-$0.10
AnalysisFree (LLM reasoning)
Total for 3 competitors~$0.50-1.50

Tools Required

  • Apify API token — APIFY_API_TOKEN env var
  • Upstream skills: seo-domain-analyzer, review-scraper, reddit-scraper, hacker-news-scraper, site-content-catalog
  • web_search — for keyword discovery

Trigger Phrases

  • "Do keyword research for Google Ads"
  • "What keywords should we bid on?"
  • "Build a keyword architecture for [product]"
  • "Find high-intent search keywords"
  • "Audit our PPC keyword strategy"

平台分布

Codex

36.04%
按下载量换算26

Claude

28.53%
按下载量换算20

Cursor

18%
按下载量换算13

Gemini CLI

8.85%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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