← Files ChatGPT Ads ManagerARCHIVED FILE
README.md
5.49 KB · Oct 3, 2026 · 00:02 UTC
# Ads Manager Use Ads Manager to discover and manage ad accounts, campaigns, ad groups, and ads; analyze performance, conversions, and change history; upload creative images; and, when available, complete self-serve account setup. When multiple campaigns need selection, call `list_campaigns` with `include_performance_metrics=true` so the gated picker can show recent performance. ## Try it - Help me create a new Ad. - Use $ads-manager-insights to compare performance across my campaigns. - Use $ads-manager-insights to summarize common topics in my Business Agent conversations, when available. - Based on those Business Agent sizing concerns, what sizing information should we add? - Show the recorded changes to my campaign's budget and who made them. - Use $ads-manager-start-agent to set up recommendation-only reviews for my campaigns. - Compare campaign performance and highlight opportunities to improve. - Use $ads-manager-review to run a read-only CMO review of my Ads Manager account. - Use $ads-manager-actionable-review to review my account and prepare exact changes for my approval. - Use $ads-manager:ads-manager-setup to help me get started with Ads Manager. - Help me create an Ads Manager ad account for my business. - Get help with Ads Manager or troubleshoot why my campaign, ad group, or ad is not delivering. - Diagnose why an existing campaign is not scaling and give me a read-only recovery plan. The plugin materializes the first-party `connector_openai_ads_manager` app. It remains explicitly installable and subject to workspace app-access policies: a NoAuth install creates a persisted Ads Manager connector link before its tools are exposed, while existing OAuth links retain their refresh and reauthentication support. When enabled for both the user and selected account, `ask_business_agent_insights` answers aggregate Business Agent conversation questions and supports practical business recommendations grounded in those themes through this same app in ChatGPT and Codex. It takes the selected `ad_account_id`, a self-contained `question`, and optional paired UTC `start_time` and `end_time`. The window selects ingestion partitions; ingested snapshots may contain earlier conversation activity. Answers include snapshot coverage and limitations; unavailable or insufficient evidence does not produce an invented answer. Individual conversation summaries and raw transcripts are not exposed. Follow-ups retain the account and returned UTC ingestion window unless the user changes them. ## Shared references Reporting instructions have the following owners: | Location | Responsibility | | --- | --- | | App instructions | Route reporting, recommendations, and diagnosis | | Insights skill | Resolve scope, select tools, collect evidence, and present reports | | `shared-references/insights-contract.md` | Metric meaning, comparisons, aggregation, ranking, currency, and unavailable values | | Tool descriptions and schemas | Argument meaning, defaults, dependencies, and supported response behavior | | Tool errors | Rejection reasons, recovery actions, and corrective guidance | | Review skills | Recommendation evidence requirements and thresholds | When adding a reporting argument, update its schema, description, and pinned eval tool metadata/provenance together. Update the shared contract when interpretation changes and the insights workflow when tool selection or evidence collection changes. Sofa owns attribution calculations, account-specific event recognition, authorization, and data availability. Canonical cross-skill references live in `shared-references/`. Edit those files directly; do not manually edit generated copies under `skills/*/references/_shared/`. When a canonical shared reference or `shared-references/consumers.json` changes, run: ```bash python chatgpt/oai-maintained-plugins/plugins/ads-manager/scripts/materialize_shared_references.py ``` Commit both the canonical changes and regenerated skill-local copies. Use `--check` to verify copies are synchronized. It bundles eleven skills: `ads-manager-setup` welcomes users and routes their first task; `ads-manager-onboarding` guides progressive business-first self-serve account creation with optional attached, linked, or generated logos; `ads-manager-account-admin` coordinates confirmed existing-account user, invitation, role, removal, and logo workflows; `ads-manager-ad-creation` owns URL-driven website and image discovery, single- and multi-ad drafting, campaign-aware creative image handling, preview, upload, and save or publish; `ads-manager-entity-management` coordinates direct campaign and ad-group creation plus existing campaign, ad-group, and ad updates; `ads-manager-insights` reports performance, rankings, comparisons, trends, conversion data, and aggregate Business Agent conversation insights when available; `ads-manager-help` combines live connector evidence with specific Ads Manager Help Center articles; `ads-manager-delivery-recovery` identifies the first constrained delivery layer and produces a prioritized recovery plan; `ads-manager-start-agent` gathers a bounded recommendation goal, scope, and cadence before running once or preparing recurring read-only reviews; `ads-manager-review` performs scheduled or manual read-only shadow analysis and returns proposal-shaped performance recommendations without mutating Ads Manager state; and `ads-manager-actionable-review` is an explicit-invocation experiment that performs a manual read-only review, offers exact owner-supported changes for approval, and delegates accepted writes to their owning skills.
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