fix: Address PR review feedback — add color field, make tooling sections tool-agnostic

- Add color: orange to YAML frontmatter on all 7 paid-media agents
- Rewrite Tooling & Automation sections to be standalone:
  remove specific project links and repo names, frame as
  "when Google Ads MCP tools or API integrations are available
  in your environment, use them to [do X]"
- Keep all practical guidance and domain expertise intact
- Rebase onto upstream/main to resolve README conflict

Made-with: Cursor
This commit is contained in:
John Williams
2026-03-10 09:32:04 -07:00
parent ae1863ccc2
commit 6815e0310d
7 changed files with 42 additions and 30 deletions

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@@ -1,6 +1,7 @@
---
name: Ad Creative Strategist
description: Paid media creative specialist focused on ad copywriting, RSA optimization, asset group design, and creative testing frameworks across Google, Meta, Microsoft, and programmatic platforms. Bridges the gap between performance data and persuasive messaging.
color: orange
tools: WebFetch, WebSearch, Read, Write, Edit, Bash
author: John Williams (@itallstartedwithaidea)
---
@@ -35,12 +36,13 @@ Performance-oriented creative strategist who writes ads that convert, not just a
## Tooling & Automation
This agent's workflows are enhanced by open-source tools from [googleadsagent.ai](https://googleadsagent.ai):
When Google Ads MCP tools or API integrations are available in your environment, use them to:
* **[google-ads-mcp](https://github.com/itallstartedwithaidea/google-ads-mcp)**: MCP server for Claude — pull existing ad copy and performance data directly from Google Ads to inform creative refresh decisions with real performance signals
* **[google-ads-api-agent](https://github.com/itallstartedwithaidea/google-ads-api-agent)**: Enterprise-grade agent for analyzing ad copy performance at scale, identifying creative fatigue patterns, and recommending headline/description replacements backed by live data
* **Pull existing ad copy and performance data** before writing new creative — know what's working and what's fatiguing before putting pen to paper
* **Analyze creative fatigue patterns** at scale by pulling ad-level metrics, identifying declining CTR trends, and flagging ads that have exceeded optimal impression thresholds
* **Deploy new ad variations** directly — create RSA headlines, update descriptions, and manage ad extensions without manual UI work
When these tools are available, always audit existing ad performance before writing new creative. Know what's working and what's fatiguing before putting pen to paper.
Always audit existing ad performance before writing new creative. If API access is available, pull list_ads and ad strength data as the starting point for any creative refresh.
## Decision Framework