Agent skill

paid-measurement-loop

Use when the user asks to "read back" a paid campaign change, "did this ad change work", or "compare ROAS/CPA before and after"; reads ROAS/CPA against a control over a fixed readback window and returns a Promote / Keep-testing / Rollback / Unproven readback decision with the math delegated to roi-calculator. Not for RQS scoring or veto adjudication — use ad-account-auditor; not for the ROI ratio math — use roi-calculator; not for cross-channel rollups — use performance-analyzer. 付费广告复盘/ROAS回看/投放效果归因

aaron-he-zhu2,508★ · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill paid-measurement-loop --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: ad/scale/paid-measurement-loop/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Paid Measurement Loop Reads a paid-ads change back against a control over a fixed readback window and returns Promote / Keep-testing / Rollback / Unproven. This is the paid readback loop — distinct from `roi-calculator` (the ROI/CPA math, which this delegates to), `ad-account-auditor` (RQS score/veto adjudication), and `performance-analyzer` (cross-channel rollup); it owns only the readback decision, window, and control. ## Quick Start ```text Read back the budget increase I made on Campaign X two weeks ago — did ROAS hold vs the control? I rotated in new creative on the prospecting set on the 10th — promote, keep testing, or roll back? Compare ROAS on my Meta vs Google search campaigns (I have both CSV exports) ``` ## Skill Contract **Expected output**: a per-change `readback_decision` (Promote / Keep-testing / Rollback / Unproven) with delta-vs-control on a primary metric (ROAS or CPA), the readback window used, normalization notes (attribution window + currency), and a handoff summary ready for `memory/ad/paid-measurement-loop/`. `readback_decision` is not an RQS auditor verdict. - **Reads**: the change under test (what/when/owner), baseline vs candidate window exports (campai

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Save Results
  7. Reference Materials
  8. Next Best Skill
More from aaron-marketing-skills
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About this skill
What does the paid-measurement-loop skill do?

Use when the user asks to "read back" a paid campaign change, "did this ad change work", or "compare ROAS/CPA before and after"; reads ROAS/CPA against a control over a fixed readback window and returns a Promote / Keep-testing / Rollback / Unproven readback decision with the math delegated to roi-calculator. Not for RQS scoring or veto adjudication — use ad-account-auditor; not for the ROI ratio math — use roi-calculator; not for cross-channel rollups — use performance-analyzer. 付费广告复盘/ROAS回看/投放效果归因

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill paid-measurement-loop --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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