Run retrospective analysis for campaigns on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install campaign-retrospective-analystOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install campaign-retrospective-analystβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/campaign-retrospective-analyst/π‘Extract and place the folder at the path above, then restart your agent.
Category
π£Marketing & GrowthPlatforms
What Ads Campaign Review can do for your AI workflow
Retrospective analysis directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Ads Campaign Review
Help me get started with Ads Campaign Review
Explains what Ads Campaign Review does, walks through the setup, and runs a quick demo based on your current project
Use Ads Campaign Review to run retrospective analysis for campaigns on Meta (Facebook/Instagra...
Invokes Ads Campaign Review with the right parameters and returns the result directly in the conversation
What can I do with Ads Campaign Review in my marketing & growth workflow?
Lists the top use cases for Ads Campaign Review, with example commands for each scenario
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Ads Campaign Review extends your AI assistant with the ability to run retrospective analysis for campaigns on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Ads Campaign Review as its underlying capability.
Ads Campaign Review works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Ads Campaign Review once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Ads Campaign Review, copy the skill folder to `~/.claude/skills/campaign-retrospective-analyst/` for use across all your projects, or `.claude/skills/campaign-retrospective-analyst/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/campaign-retrospective-analyst` or just describe your goal and the AI will pick it up automatically.
Ads Campaign Review has 293 installs and is part of the growing Marketing & Growth skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/campaign-retrospective-analyst/ for personal use (all projects), or .claude/skills/campaign-retrospective-analyst/ for project-specific use. Restart your AI client, then invoke with /campaign-retrospective-analyst or let the AI discover it automatically.
Ads Campaign Review supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Ads Campaign Review is free to install. Check the repository for licensing information.
Run retrospective analysis for campaigns on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic channels.
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Ads Campaign Review is categorized under Marketing & Growth. These skills help AI agents perform specialized tasks in this domain.