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Agent Skill · 研究检索

meta-ads-research(元广告研究)

meta-ads-research 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

meta-ads-research 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 28,714。

总安装 3,170周安装 127GitHub Stars 公开资料未说明下载 1,026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-0
版本
1.0.0

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:meta-ads-research(元广告研究)
来源仓库:https://github.com/elias-didoo/meta-ads-research
安装命令:
openclaw skills install meta-ads-research
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install meta-ads-research

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。

为元广告活动提供竞争情报与市场基准分析服务。在启动新项目前研究对手广告策略与着陆页设计。抓取公开竞品素材并解析其受众定位与创意手法。仅限合法公开信息获取,不得绕过反爬机制。meta-ads-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。输出结果仅供参考,不构成投资建议或侵权依据。

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 OpenClaw;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 openclaw skills install meta-ads-research;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

meta-ads-research 怎么安装?

在终端执行 openclaw skills install meta-ads-research。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

meta-ads-research 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

meta-ads-research 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。

meta-ads-research 是免费的吗?

来源标注的许可证是 MIT-0。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。

meta-ads-research 用的人多吗?

公开数据是累计安装 3,170 次,近一周安装 127 次,下载 1,026 次。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。

meta-ads-research 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
meta-ads-research

元广告研究 · 本页

3,170—需要联网MIT-0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

name
meta-ads-research
description
[Didoo AI] Conducts competitive intelligence for Meta Ads campaigns — analyzes competitor ads, landing pages, and market benchmarks. Use before launching a new campaign or entering a new market.

Meta Ads Market Research

When to Use

Before launching a new campaign or entering a new market — to understand the competitive landscape, what types of ads are working, and where opportunities exist.


Step 1: Define Research Scope

Ask:

  • What industry or category? (e.g., SaaS, e-commerce, local services)
  • What markets or countries?
  • What product or service type?
  • Any specific competitors to analyze?

Finding the right competitors to analyze:

  • Do NOT start with the biggest brands — their ad strategy is not replicable for small businesses
  • Start with: businesses of similar size, similar budget, similar market — 5 to 10 competitors
  • Search by category keywords in Meta Ad Library, not by brand name
  • Use web search: "[your niche] Facebook ads competitors" to find real SMBs running ads

Step 2: Competitive Ad Intelligence

Use Meta's Ad Library, web search, and web fetch to find what competitors are running.

What to analyze for each competitor ad

Surface-level (what you see):

  • Primary hook / headline
  • Offer or value proposition
  • CTA (sign up, buy, learn more, book call)
  • Creative format (video, carousel, single image, Stories, Reels)
  • Visual style and tone

Deeper-level (why it works):

  • Psychological trigger used (fear, social proof, urgency, exclusivity, transformation, authority)
  • Emotional hook angle (who/what/when/where/why/how angle)
  • Audience targeting signal (what audience does this ad seem to be reaching?)
  • Ad endurance — how long has this same ad been running? (Long-running ads = proven to work)
  • Ad saturation — how many different ads is this brand running? (Many variants = active spender)

How to find them:

  1. Meta Ad Library: search by category keyword, not just brand name
  2. Google Search: "[niche] Facebook ads case study", "[competitor] what ads are they running"
  3. Web fetch competitor landing pages — understand their full funnel, not just the ad

What to document for each competitor:

  • Brand name
  • Primary hook and psychological trigger
  • Offer / CTA
  • Creative format
  • Estimated spend signal (High / Medium / Low — from Ad Library if available)
  • Ad endurance (how long running, if identifiable)
  • Landing page URL

Step 3: Market Trend Research

Use web search to find:

Industry benchmarks:

  • Average CPM for this industry and target geo
  • Average CPL or CPA by objective
  • Seasonal or timing factors

Creative trends in this category:

  • What hook angles are dominant? (e.g., "results transformation" vs. "social proof")
  • What formats are gaining traction? (Reels outperforming static? Carousels working for DTC?)
  • Any new creative approaches emerging?

Bidding and competitive landscape:

  • Is this a highly competitive category (CPM high)? What does that mean for budget planning?
  • Are there identifiable "ad saturation" patterns — same angles repeated across competitors?

Step 4: Full-Funnel Path Analysis

Map the complete user journey for top competitors — not just the landing page, but what happens after.

For each top competitor:

  1. Ad → Landing page: What does the landing page promise that the ad set up?
  2. Landing page → Next step: What does the page ask them to do next? (Form, checkout, call, chat)
  3. Post-conversion: What's their follow-up sequence? (Email capture? Retargeting?)

This reveals:

  • Whether competitors are running a full funnel or just top-of-funnel ads
  • What offer depth is needed to compete (some categories need a tripwire product, some don't)
  • Retargeting patterns (are they chasing visitors who didn't convert?)

Step 5: Gap and Opportunity Analysis

Based on all findings, identify:

White space — Angles or formats no one is using in this category

  • Look for underserved emotional triggers (e.g., everyone uses fear, no one uses belonging)

Market saturation points — Where competitors are all saying the same thing

  • If 5 competitors use the same hook angle, that angle is table stakes — you need it plus something else

Differentiation opportunity — What unique angle could the user's brand use?

  • Consider: different audience segment, different emotional trigger, different offer framing
  • Ask: what do competitors promise? What do they NOT say that their audience cares about?

Step 6: Strategic Positioning Recommendation

Based on the research, recommend:

Top 3 creative angles to test — ranked by:

  1. Differentiation level (how unique is this angle?)
  2. Category fit (does it match how this audience thinks?)
  3. Ad format match (which format does this angle work best in?)

For each angle, specify:

  • The hook type (transformation / fear / social proof / authority / urgency / exclusivity)
  • The specific angle within that type
  • How to adapt it for the user's brand (not copying — translating the principle)

Step 7: Output Format

## Competitive Research: [Industry/Category]

### Competitors Analyzed
| Competitor | Primary Hook | Trigger Type | CTA | Format | Spend Signal | Ad Endurance | LP URL |
|------------|-------------|-------------|-----|--------|-------------|--------------|--------|
| [Name]     | [Hook]      | [Trigger]   | [CTA] | [Format] | [Level]     | [Long/Short] | [URL]  |

### Industry Benchmarks
- Average CPM: $[X]
- Average CPL: $[X]
- Competitive intensity: [Low / Medium / High]

### Creative Trends in This Category
1. [Dominant hook angle and why it works]
2. [Emerging format or approach]

### Full-Funnel Gaps
[Where competitors are weak in the funnel]

### Recommended Creative Angles to Test
1. [Angle 1] — Why it differentiates — Format: [what to use]
2. [Angle 2] — ...
3. [Angle 3] — ...

### Strategic Positioning
[1-2 sentences on recommended overall positioning in this competitive landscape]

Key Research Sources

  • Meta Ad Library: ads.facebook.com/ads-library — search by category keyword, not brand
  • Google Search: "[niche] Facebook ads", "[competitor] ads", "[industry] Meta case study"
  • Web Fetch: Pull competitor landing pages and analyze the full funnel path
  • SimilarWeb / SpyFu: Competitive traffic and estimated ad spend

Restrictions

  • Do not make up data — only report what you actually find
  • Do not use competitor branding or trademarks in ways that violate Meta policies
  • Present findings objectively — don't bias toward a predetermined conclusion
  • Do not recommend copying competitor ads directly — recommend adapting winning principles

平台分布

OpenClaw

70.58%
按下载量换算724

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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