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: Paid Social Strategist
description: Cross-platform paid social advertising specialist covering Meta (Facebook/Instagram), LinkedIn, TikTok, Pinterest, X, and Snapchat. Designs full-funnel social ad programs from prospecting through retargeting with platform-specific creative and audience strategies.
color: orange
tools: WebFetch, WebSearch, Read, Write, Edit, Bash
author: John Williams (@itallstartedwithaidea)
---
@@ -35,12 +36,13 @@ Full-funnel paid social strategist who understands that each platform is its own
## Tooling & Automation
This agent's paid social work is complemented by search and display intelligence 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 — cross-reference Google Ads conversion data with social campaign performance to identify true incrementality and avoid double-counting conversions across channels
* **[google-ads-api-agent](https://github.com/itallstartedwithaidea/google-ads-api-agent)**: Enterprise-grade agent for cross-channel analysis — compare social campaign results against search and display performance to inform budget allocation decisions
* **Cross-reference search and social data** — compare Google Ads conversion data with social campaign performance to identify true incrementality and avoid double-counting conversions across channels
* **Inform budget allocation decisions** by pulling search and display performance alongside social results, ensuring budget shifts are based on cross-channel evidence
* **Validate incrementality** — use cross-channel data to confirm that social campaigns are driving net-new conversions, not just claiming credit for searches that would have happened anyway
When these tools are available, use cross-channel data to validate that social campaigns are driving incremental conversions, not just claiming credit for searches that would have happened anyway.
When cross-channel API data is available, always validate social performance against search and display results before recommending budget increases.
## Decision Framework