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Agent Skill · 研究检索

paid-channel-prioritizer(付费频道优先顺序)

paid-channel-prioritizer 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。

paid-channel-prioritizer 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,权限为需要联网;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 73,674 个 Skill 里排第 67,721。

总安装 242周安装 10GitHub Stars 607下载 79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:paid-channel-prioritizer(付费频道优先顺序)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/paid-channel-prioritizer
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill paid-channel-prioritizer
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 paid-channel-prioritizer

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。

根据产品特性与目标客户特征推荐最适合的 1-2 个广告投放渠道。结合预算规模与竞争格局给出 90 天执行计划,避免分散投入。分析 Google、Meta、LinkedIn 等平台的学习曲线与转化潜力。输入包括月预算、ICP 描述与竞品列表,输出包含推荐理由与落地步骤。

paid-channel-prioritizer 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/paid-channel-prioritizer

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 paid-channel-pr…;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

    它需要需要联网,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

paid-channel-prioritizer 怎么安装?

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

paid-channel-prioritizer 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。

paid-channel-prioritizer 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

paid-channel-prioritizer 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。

paid-channel-prioritizer 用的人多吗?

公开数据是累计安装 242 次,近一周安装 10 次,下载 79 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。

paid-channel-prioritizer 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

  • 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

  • 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
paid-channel-prioritizer

付费频道优先顺序 · 本页

242607需要联网未明确有提醒

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

Paid Channel Prioritizer

Answer the question every early-stage founder asks: "Where should I run ads?" This skill analyzes your product, ICP, competitors, and budget to recommend the right 1-2 channels to start with — plus a 90-day plan to get there.

Core principle: A $3K/month ad budget split across Google, Meta, LinkedIn, and TikTok means $750/channel — not enough for any platform to learn and optimize. This skill picks the best 1-2 channels and concentrates budget where it'll compound fastest.

When to Use

  • "Where should I run ads?"
  • "Which ad platform is best for us?"
  • "I have $X/month for ads — where should I spend it?"
  • "Should I do Google Ads or Facebook Ads?"
  • "Help me choose a paid channel"

Phase 0: Intake

  1. Product name + URL — What are you selling?
  2. Business model — SaaS / Marketplace / E-commerce / Service / App
  3. B2B or B2C? — Drives channel selection heavily
  4. ICP — Who are you selling to? (Role, company size, industry)
  5. Monthly ad budget — Be honest — how much can you spend?
  6. Average deal size / LTV — What's a customer worth?
  7. Current acquisition channels — How are you getting customers today? (Organic, referral, outbound, etc.)
  8. Competitor names — 3-5 competitors
  9. Landing page ready? — Do you have a dedicated LP or just a homepage?
  10. Conversion goal — Free trial / Demo / Purchase / Lead magnet download

Phase 1: Channel Scoring

1A: Buyer Intent Analysis

Where does your buyer look when they have a problem?

Buyer Journey StageLikely ChannelSignal
"I need a tool for X" (active search)Google SearchHigh-intent keywords exist
"I'm browsing and see something relevant" (passive)Meta (FB/IG)Visual/emotional product
"I need to solve this at work" (professional)LinkedInB2B decision-maker targeting
"Everyone's talking about this" (social proof)Twitter/X AdsCategory is trending
"I watch content about this" (education)YouTubeLong consideration cycle
"I discovered it through content" (entertainment)TikTokB2C, young audience, visual

1B: Competitor Ad Presence Research

Search: site:facebook.com/ads/library "<competitor_domain>"
Search: "<competitor>" Google Ads OR PPC OR paid search
Search: "<competitor>" LinkedIn Ads OR sponsored
Search: "<competitor>" advertising strategy

Also check:

# If ad scrapers available:
python3 skills/meta-ad-scraper/scripts/scrape_meta_ads.py --domain <competitor_domain>
python3 skills/google-ad-scraper/scripts/scrape_google_ads.py --domain <competitor_domain>

Build a competitor channel map:

CompetitorGoogleMetaLinkedInTwitterYouTubeTikTok
[Comp A][Active/Not found][N ads][Active/Not found].........
[Comp B]..................

Insight: Where competitors are spending = validated channel. Where they're absent = opportunity or dead end.

1C: Channel Scoring Matrix

Score each channel for this specific product:

Factor (Weight)Google SearchMetaLinkedInYouTubeTwitterTikTok
Buyer intent (25%)[1-10][1-10][1-10][1-10][1-10][1-10]
Targeting precision (20%)[1-10][1-10][1-10][1-10][1-10][1-10]
Competitor validation (15%)[1-10][1-10][1-10][1-10][1-10][1-10]
Budget efficiency (15%)[1-10][1-10][1-10][1-10][1-10][1-10]
ICP reachability (15%)[1-10][1-10][1-10][1-10][1-10][1-10]
Creative requirements (10%)[1-10][1-10][1-10][1-10][1-10][1-10]
Weighted Score[X/10][X/10][X/10][X/10][X/10][X/10]

Channel Context Notes

ChannelBest ForWorst ForMin Viable BudgetCreative Needs
Google SearchHigh-intent capture, B2B, established categoryNew categories nobody searches for$1K/moText ads (low barrier)
Meta (FB/IG)Visual products, B2C, retargeting, lookalikesNiche B2B with tiny audience$1K/moImages + video (medium)
LinkedInB2B enterprise, specific titles/industriesB2C, budget-conscious startups$3K/moProfessional content (medium)
YouTubeEducation-heavy products, long considerationImpulse purchases, tiny budgets$2K/moVideo production (high)
Twitter/XDev tools, trending categories, tech audiencesMainstream B2C, precise targeting$1K/moShort-form copy (low)
TikTokB2C, Gen Z/millennial, visual/fun productsB2B enterprise, older audience$500/moShort video (high frequency)

Phase 2: Recommendation

Primary Channel Selection

Pick the #1 channel based on:

  1. Highest weighted score
  2. Budget viability (can they afford minimum viable spend?)
  3. Creative readiness (can they produce the required content?)

Secondary Channel Selection

Pick channel #2 only if:

  • Budget > $3K/month (enough for two channels)
  • It serves a different funnel stage than channel #1
  • It doesn't require creative they can't produce

Budget Allocation

Budget LevelRecommendation
< $1.5K/mo1 channel only — concentrate everything
$1.5K-3K/mo1 primary + retargeting — primary channel + Meta/Google retargeting ($300-500)
$3K-7K/mo2 channels — 65% primary, 25% secondary, 10% retargeting
$7K+/mo2-3 channels — diversify with testing budget

Phase 3: 90-Day Ramp Plan

Month 1: Foundation (Days 1-30)

Week 1: Setup

  • Set up conversion tracking (Pixel, GTM, GA4)
  • Create landing page (if needed)
  • Build initial audiences / keyword list
  • Launch 2-3 ad variants on primary channel

Week 2-3: Learn

  • Collect data — do NOT optimize yet
  • Monitor for setup issues (tracking, disapprovals, targeting)
  • Minimum 500 impressions per variant before judging

Week 4: First Optimization

  • Pause worst-performing ad variant
  • Add 1-2 new variants based on early signals
  • Adjust bids/budgets based on CPM/CPC data

Month 2: Optimize (Days 31-60)

  • Review conversion data — any ads producing results?
  • Launch retargeting campaign (if not already)
  • Test new audiences / keywords
  • A/B test landing pages (if conversion rate is low)
  • Begin secondary channel test (if budget allows)

Month 3: Scale or Pivot (Days 61-90)

  • If working: Increase budget 30-50% on winning audiences/keywords
  • If not working: Diagnose (bad targeting? bad LP? bad offer?)
  • Evaluate secondary channel test results
  • Run this skill again with real data → ad-campaign-analyzer

Phase 4: Output Format

# Paid Channel Strategy — [Product Name] — [DATE]

## Your Profile
- Product: [Name]
- Model: [SaaS / B2C / etc.]
- ICP: [Summary]
- Monthly budget: $[X]
- Conversion goal: [Goal]

---

## Channel Scoring

| Channel | Score | Verdict |
|---------|-------|---------|
| [Top channel] | [X/10] | **PRIMARY — Start here** |
| [Second channel] | [X/10] | **SECONDARY — Add in month 2** |
| [Third channel] | [X/10] | Test later if budget grows |
| [Others] | [X/10] | Not recommended now |

---

## Why [Primary Channel]

**Top reasons:**
1. [Reason — tied to their specific product/ICP]
2. [Reason]
3. [Reason]

**What competitors are doing there:** [Evidence]

**Minimum viable budget:** $[X]/mo
**Expected cost per conversion:** $[X-Y] range (category benchmark)

---

## Why NOT [Channel They Might Assume]

[Brief explanation of why the obvious choice isn't right — e.g., "LinkedIn is too expensive for your $2K budget — you'd only reach ~500 people/month"]

---

## Budget Allocation

| Channel | Monthly Budget | Purpose |
|---------|---------------|---------|
| [Primary] | $[X] | [Prospecting / Lead gen] |
| [Retargeting] | $[X] | [Bring back visitors] |
| [Secondary — Month 2] | $[X] | [Test — evaluate after 30 days] |

---

## 90-Day Ramp Plan

### Month 1: [Primary Channel] Launch
[Specific weekly actions]

### Month 2: Optimize + Test [Secondary]
[Specific actions]

### Month 3: Scale or Pivot
[Decision criteria]

---

## Pre-Launch Checklist
- [ ] Landing page live and tested
- [ ] Conversion tracking installed and verified
- [ ] Initial audiences / keywords built
- [ ] 3 ad variants ready
- [ ] Daily budget cap set ($[X]/day)
- [ ] Weekly review scheduled

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

Cost

ComponentCost
Competitor ad research~$0.40-1.00 (Apify, if using ad scrapers)
Web researchFree
Analysis and planningFree (LLM reasoning)
TotalFree-$1.00

Tools Required

  • web_search — for competitor research and channel validation
  • Optional: meta-ad-scraper, google-ad-scraper for competitor presence check
  • Optional: ad-creative-intelligence for deeper competitor ad analysis

Trigger Phrases

  • "Where should I run ads?"
  • "Which ad platform should I use?"
  • "Help me pick a paid channel"
  • "Google Ads or Facebook Ads?"
  • "I have $[X]/month — where should I advertise?"
  • "What paid channels work for [product type]?"

平台分布

Codex

34.68%
按下载量换算27

Claude

28.72%
按下载量换算23

Cursor

19.83%
按下载量换算16

Gemini CLI

10.28%
按下载量换算8

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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