Individual skill
ads-pinterest
Audit Pinterest Ads measurement, Pinterest Tag and Conversions API, catalog and shopping readiness, visual creative, audiences, Performance+ intent, budgets, brand safety, and reporting. Use for Pinterest Ads, promoted Pins, shopping ads, catalog sales, Pinterest Tag, Pinterest Conversions API, or Pinterest Performance+.
skills/ads-pinterest/SKILL.md
Source commit fc3908e786c318776df89a3a098333da377364be
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 10,863
- Repository last updated
- Nov 1, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- 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
- design Derived category
- marketing Derived category
- sales Derived category
- security Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Pinterest Ads Audit
## Procedure
1. Read the main `ads` operating contract and thinking framework.
2. Collect business objective, account age, date window, timezone, currency,
spend, conversion definition, and available exports or authenticated reads.
3. Read `ads/references/pinterest-audit.md` (resolve it from the plugin root, the directory that holds `ads/` and `skills/`, or from the skills directory in a standalone install) and relevant shared measurement,
benchmark, creative, policy, and scoring references.
4. Normalize the account data and preserve source lineage.
5. Evaluate only applicable controls across measurement, catalog commerce, campaign structure, visual creative, audiences, automation, budget, experimentation, and policy.
6. Return schema-valid findings to the conductor. Do not calculate scores in the
prompt or write a shared report file.
7. Render a platform report only from the validated run bundle.