Individual skill

ads-optimize

Diagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, requests to delete campaigns, search-term or negative-keyword actions, creative rotation, or improving CPA and ROAS.

skills/ads-optimize/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 10,912
Repository last updated: Nov 1, 2026
License: MIT

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claude-code Repository topic
claude-code-skill Repository topic
ai-marketing Repository topic
ai Repository topic
marketing-automation Repository topic
open-source Repository topic
agent-skills Repository topic
google-ads Repository topic
meta-ads Repository topic
paid-advertising Repository topic
finance Derived category
marketing Derived category

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# Paid Media Optimization

Default to `--draft`.

1. Load the latest normalized snapshot, prior decisions, monitoring results,
   experiment state, conversion lag, economics, and platform capability manifest.
2. Identify the decision and causal evidence; do not optimize a metric in isolation.
3. Compare no-change, experiment, and mutation options, including learning, policy,
   tracking, inventory, and opportunity-cost effects.
4. Produce ranked recommendations with confidence and success measures.
5. Convert approved recommendations into mutation plans only through the main
   mutation gate.
6. Apply, verify, audit, and retain rollback only when the exact operation is
   enabled and remote state still matches the draft precondition.