ad-audience-targeting
Turn a business's ICP and buying signals into a layered ad audience targeting plan - cold/broad...
What this skill does for you
Turn a business's ICP and buying signals into a layered ad audience targeting plan - cold/broad prospecting, interest and in-market behavioural segments, lookalike/similar, first-party lists, and retargeting pools - each sized against platform audience floors, budgeted to the learning threshold, and kept from overlapping by exclusion rules. Use whenever the user mentions ad targeting, who to target with ads, audience tiers or layers, broad vs. layered targeting, audience overlap between campaigns, or mapping an ICP onto ad audiences - even if they never say 'audience'. Covers B2B and B2C. Do NOT use to pick the seed customers behind a lookalike (mbfinotti/advertising-skills@lookalike-audience-seeds) or to sequence retargeting messages (mbfinotti/advertising-skills@retargeting-funnel).
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-audience-targeting 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:ce048d113e9a6d93f1433e33022f4af3687d926dfd8028a3bcce6a3914874f00
- Licence
- MIT