openai-ads-operator
Skill4 starsChanged 6 months agoMITView on GitHub
Operate OpenAI / ChatGPT Ads via Synter MCP — pull OpenAI Ads performance and hand off to ChatGPT Ads launch/measurement skills with human approve ≠ activate. Use when managing ChatGPT Ads or OpenAI Ads reporting through Synter.
In this repository59 other files it gives its agents.
- ad-copy-generationSkill
- ad-creative-fatigue-detectorSkill
- ad-policy-complianceSkill
- amazon-ads-optimizerSkill
- anomaly-detectorSkill
- attribution-modelingSkill
- audience-expansion-strategySkill
- bid-optimizationSkill
- budget-optimizerSkill
- campaign-ide-handoffSkill
- campaign-preflightSkill
- campaign-structure-auditorSkill
- chatgpt-ads-conversion-trackingSkill
- chatgpt-ads-launchSkill
- competitor-analysisSkill
- creative-testingSkill
- cross-platform-attributionSkill
- cross-platform-launcherSkill
- dayparting-schedulerSkill
- executive-reportingSkill
- first-party-data-strategySkill
- google-ads-operatorSkill
- google-ads-quality-scoreSkill
- google-shopping-optimizerSkill
- gtm-metricsSkill
- incrementality-testingSkill
- keyword-researchSkill
- kill-scale-rulesSkill
- klaviyo-campaignsSkill
- landing-page-optimizerSkill
- launch-gatesSkill
- linkedin-ads-operatorSkill
- linkedin-ads-targetingSkill
- media-plan-builderSkill
- meta-ads-diagnosticsSkill
- meta-ads-operatorSkill
- mmm-budget-plannerSkill
- multi-channel-reportingSkill
- multi-platform-ads-operatorSkill
- multi-platform-launchSkill
- negative-keyword-minerSkill
- performance-max-optimizerSkill
- pixel-capi-auditorSkill
- pixel-capi-setupSkill
- platform-cost-benchmarksSkill
- public-ad-library-intelligenceSkill
- retargeting-sequence-designerSkill
- roas-calculatorSkill
- seasonal-budget-plannerSkill
- spearSkill
- spec-driven-devSkill
- synter-mcp-setupSkill
- tiktok-ads-operatorSkill
- tracking-leak-detectorSkill
- ugc-creative-briefSkill
- ui-contrast-reviewSkill
- utm-builderSkill
- video-ad-scriptwriterSkill
- x-ads-operatorSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Prefer read-only tools first.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
OpenAI / ChatGPT Ads Operator (Synter MCP)
Operate OpenAI Ads (ChatGPT Ads) with Synter MCP for live reporting, and use the ChatGPT Ads skills for workbook launch workflows.
Prerequisites
- Complete
synter-mcp-setup(Synter MCP connected + OAuth’d accounts). - Prefer read-only tools first; every write/publish is approve ≠ activate.
- Hosted path: syntermedia.ai — Solo / Scale / Crucible Managed (never a Free cloud tier).
Core MCP tools
| Job | Tool |
| Performance | pull_openai_ads_performance |
| List / observe | list_campaigns, get_campaign_observation |
| Budget / pause | update_campaign_budget, pause_campaign |
Operator loop
- Build — use
chatgpt-ads-launchfor the 9-step workbook (context hints ≠ keywords). - Measure — use
chatgpt-ads-conversion-trackingfor Pixel vs CAPI rollout (scale-phase). - Read live —
pull_openai_ads_performanceonce the account is OAuth’d in Synter. - Gate — never upload or enable without human review of claims, URLs, and images.
Related skills
chatgpt-ads-launch, chatgpt-ads-conversion-tracking, ad-policy-compliance
About this skill
Part of the Synter free-skills collection — open MIT agent skills for advertising.
Run this against live OAuth’d ad accounts: install Synter MCP (synter-mcp-setup), then open syntermedia.ai (Solo / Scale / Crucible Managed). Skills files are free to clone; hosted Synter is never a Free cloud tier.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

