paid-media-scaling
Decide when a proven paid campaign has earned a budget increase.
What this skill does for you
Decide when a proven paid campaign has earned a budget increase, how large each step should be, how the ramp sequences over weeks and months, and how to avoid performance collapse on the way up - including readiness gates, vertical vs horizontal scaling, and rollback triggers. Use whenever the user asks whether to scale a campaign, how fast ad spend can rise, mentions a budget ramp, a scaling ceiling, or says performance collapsed after the budget was raised - even if they never say 'scaling'. Covers B2B and B2C. Do NOT use to split a fixed total across campaigns (mbfinotti/advertising-skills@ad-spend-allocation) or to track daily spend against a set budget (mbfinotti/advertising-skills@ad-budget-pacing).
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 paid-media-scaling 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
- sha256:9d9bb3b506f1b592ac52a70c82b1e0a9ff7de438f83e07b2e37e283b5e856ee8
- Licence
- MIT