campaign-reviewer

Name: campaign-reviewer
Availability: InStock
Author: cshyang

Compare before/after metrics to produce a structured verdict on campaign optimizations.

Updated Mar 15, 2026

Search Tags:#analysis #metrics #evaluation #memory #review #outcomes #campaign

Ready to run

npx skills add https://github.com/cshyang/nochore --skill campaign-reviewer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: campaign-reviewer
Source: https://github.com/cshyang/nochore/tree/main/capabilities/skills/campaign-reviewer
Command: npx skills add https://github.com/cshyang/nochore --skill campaign-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Review whether past campaign optimizations achieved their expected results by comparing before/after data. Produce a clear verdict and identify what to do next. Works standalone ("review what we did on Homescape") or as a component invoked by the campaign-analysis skill at Step 2.

Core Features & Use Cases

Identify executed actions and their context from memory (action type, payload, targets, timestamp).
Check data sufficiency windows and verify whether enough post-action data exists to draw conclusions.
Compare before/after metrics and generate a structured verdict with recommended next steps.
Integrate with other skills to provide evidence-based assessments and operational follow-ups.

Quick Start

Tell the system to review a specific past optimization and return a verdict with recommended next steps.

Frequently Asked Questions about campaign-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I evaluate if a past campaign optimization achieved its expected results?▼

To evaluate a past campaign optimization, compare the before and after data to identify whether the changes achieved their expected results. This requires access to memory of executed actions and historical metrics to produce a structured verdict.

What's the best way to review campaign outcomes across multiple clients and timeframes?▼

Reviewing campaign outcomes across clients and timeframes involves identifying executed actions from memory, checking data sufficiency windows, and comparing before/after metrics to generate a structured verdict with recommended next steps.

Can I check if there is enough post-action data to draw conclusions on a campaign review?▼

Yes, the campaign review process checks data sufficiency windows to verify whether enough post-action data exists to draw conclusions before comparing metrics and generating a final verdict.

How do I get a structured verdict and next steps after comparing before and after campaign metrics?▼

Comparing before and after campaign metrics generates a structured verdict that identifies whether the optimization worked and provides recommended next steps for future operational follow-ups.

Do I need stored memory of executed actions to review past campaign performance?▼

Yes, reviewing past campaign performance requires access to memory of executed actions, including action type, payload, targets, and timestamp, along with historical metrics and clear verdict criteria to produce structured outcomes.

Does the campaign reviewer work standalone or only as a component of a larger analysis workflow?▼

The campaign reviewer works standalone to verify specific past optimizations and can also be invoked by the campaign-analysis workflow to validate actions across clients and timeframes.