Attribution
When the user wants to figure out which marketing actually drives conversions and revenue.
Works in any agent
2 static scans, 0 counted findings.
Recorded for this package revision; Edge checks the exact bundle again when your agent loads it.
What this skill does for you
When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions "attribution," "attribution model," "first-touch vs last-touch," "multi-touch," "which channel drives revenue," "what's my real CAC," "my dashboards disagree," "Google/Meta says X but GA says Y," "media mix model," "MMM," "incrementality," "geo lift," "holdout test," "how did you hear about us," "self-reported attribution," "dark social," or wants to instrument attribution themselves : "stitch my bookings to their source," "SavvyCal/Calendly attribution," "close the identify gap," "track conversions on a third-party domain," "first-party / self-hosted attribution." For event tracking setup and UTMs, see analytics. For ad-platform pixels/CAPI, see ads. For pipeline and CRM revenue reporting, see revops. For the AI-search attribution blind spot, see ai-seo.
Quoted from the skill description in the pinned sourceUse it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the attribution skill from coreyhaines31/marketingskills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-29 | Pass | 0 |
| Edge committed-secret checks | 2026-09-29 | 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/1.0.0. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 5b2c0007766c6a1cf1d53fd8fc73e979e0821022. Raw findings: not supplied. Counted findings: .
Edge committed-secret checks (Edge-run): edge-secrets/1.0.0. Scope: Credentials committed in the skill's files (values never shown). Revision: 5b2c0007766c6a1cf1d53fd8fc73e979e0821022. Raw findings: not supplied. Counted findings: .
Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.
Source and licence
- Repository
- https://github.com/coreyhaines31/marketingskills
- Pinned skill file
- View source at revision
- Revision
- 5b2c0007766c6a1cf1d53fd8fc73e979e0821022
- Package hash
- sha256:fc579de375a0c5ca05aaf9aeb661085b2a1f173c4409be38e16d3cb88d361cea
- Licence
- MIT
Files in the scanned package
| File | Size |
|---|---|
| SKILL.md | 20.4 KB |
| evals/evals.json | 10.1 KB |
| references/attribution-models.md | 6.1 KB |
| references/by-business-type.md | 7.7 KB |
| references/first-party-tracking.md | 18.3 KB |
| references/measurement-paradigms.md | 8.0 KB |
Try Attribution in your agent.
When the user wants to figure out which marketing actually drives conversions and revenue.