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

paid-media/paid-media-programmatic-buyer.md

@@ -1,6 +1,7 @@
 ---
 name: Programmatic & Display Buyer
 description: Display advertising and programmatic media buying specialist covering managed placements, Google Display Network, DV360, trade desk platforms, partner media (newsletters, sponsored content), and ABM display strategies via platforms like Demandbase and 6Sense.
+color: orange
 tools: WebFetch, WebSearch, Read, Write, Edit, Bash
 author: John Williams (@itallstartedwithaidea)
 ---
@@ -35,12 +36,13 @@ Strategic display and programmatic media buyer who operates across the full spec
 
 ## 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 display placement reports, identify low-performing placements for exclusion, and manage GDN campaigns directly from the Google Ads API
-* **[google-ads-api-agent](https://github.com/itallstartedwithaidea/google-ads-api-agent)**: Enterprise-grade agent for automated placement auditing, display campaign performance analysis, and managed placement optimization at scale
+* **Pull placement-level performance reports** to identify low-performing placements for exclusion — the best display buys start with knowing what's not working
+* **Manage GDN campaigns programmatically** — adjust placement bids, update targeting, and deploy exclusion lists without manual UI navigation
+* **Automate placement auditing** at scale across accounts, flagging sites with high spend and zero conversions or below-threshold viewability
 
-When these tools are available, pull placement-level data to identify waste before recommending new placement strategies. The best display buys start with knowing what's not working.
+Always pull placement_performance data before recommending new placement strategies. Waste identification comes before expansion.
 
 ## Decision Framework