ad-campaign-consolidation
Evaluate a fragmented paid-ads account and recommend which campaigns and ad sets to merge.
What this skill does for you
Evaluate a fragmented paid-ads account and recommend which campaigns and ad sets to merge, which splits to preserve, and how to migrate without resetting learning across the account - it plans the consolidation, it never executes it. Use whenever the user mentions too many campaigns or ad sets, merging or restructuring an ad account, ad sets stuck in learning or learning limited, budget spread too thin, account simplification, or campaigns competing with each other - even if they never say 'consolidation'. Covers B2B and B2C on search, paid social, video, and professional-network platforms. Do NOT use to find out why the account underperforms in the first place - use mbfinotti/advertising-skills@ad-account-diagnostic instead.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the ad-campaign-consolidation skill from mbfinotti/advertising-skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 7ede9c641c67d03fed5df54613f14e3d999a8716. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 7ede9c641c67d03fed5df54613f14e3d999a8716. Raw findings: . Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 7ede9c641c67d03fed5df54613f14e3d999a8716. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/mbfinotti/advertising-skills
- Pinned skill file
- View source at revision
- Revision
- 7ede9c641c67d03fed5df54613f14e3d999a8716
- Package hash
- sha256:1b221559d3ca7588ce199916a6ffff1431eedd2bb40bd2223112bd6db8d12172
- Licence
- MIT