Ads Optimize

by agricidanielac2164493391No license9.8K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated yesterday

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.

Instructions onlyMarketing & Sales
AI-generated overview

Diagnoses paid-ad accounts and drafts or applies evidence-based campaign, budget, bid and search-term optimizations.

What it does
Loads account snapshots, prior decisions, experiment state, conversion lag, economics and platform capability data, then identifies the decision and its causal evidence. It compares no-change, experiment and mutation options and produces ranked recommendations with confidence levels and success measures. Approved recommendations become mutation plans only through a main mutation gate, and changes are applied, verified, audited and kept rollback-ready only when the exact operation is enabled and remote state matches the draft precondition. It refuses permanent deletion and offers reversible alternatives such as pausing, archiving, labeling or exporting a backup.
When to use it
Use it for paid-media work such as campaign optimization, budget reallocation, bid changes, pausing or archiving ads, search-term and negative-keyword actions, creative rotation, or improving CPA and ROAS. It is also relevant when someone requests permanent deletion of campaigns or other account objects, since it declines and proposes reversible options instead.
Requirements
Instructions only; no scripts are shipped. It expects access to normalized account snapshots, prior decisions, monitoring results, experiment state, conversion lag, economics data and a platform capability manifest, plus a mutation gate for applying changes.

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.

Never use a fixed CPA multiple, budget ratio, benchmark, or novelty claim as sole authorization to change an account.

Destructive-action boundary

Refuse permanent deletion of campaigns, ad groups, ads, audiences, conversions, or other account objects. Permanent deletion is outside the supported mutation contract and cannot be made safe by confirmation. Offer reversible alternatives: leave objects paused, archive where supported, apply labels, export a backup, and define a retention or later-review date. Do not create or apply a delete plan.

Search-term actions require a search terms report, business-relevance evidence, and an overblocking review. Without them, request the missing evidence and do not invent or illustrate specific negative keywords.

Source and attribution

Source:agricidaniel/claude-adsinskills/ads-optimizeat commitac21644

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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Ads Optimize Agent Skill | SourceWeft