Individual skill
ads-snapchat
Audit Snapchat Ads measurement, Snap Pixel and Conversions API, mobile and app campaigns, creative, AR and catalog formats, audiences, budgets, brand safety, and reporting. Use for Snapchat Ads, Snap Ads, Snap Pixel, Snapchat Conversions API, AR Lens ads, app-install campaigns, or Snapchat dynamic product ads.
skills/ads-snapchat/SKILL.md
Source commit fc3908e786c318776df89a3a098333da377364be
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 2, 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)
- 10,820
- 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
- marketing 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
# Snapchat 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/snapchat-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, account and ad-squad structure, mobile creative, AR and catalog formats, audiences, budget, reporting, and brand safety.
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.