creator-monetization
Creator monetization : build a diversified revenue portfolio from an audience: memberships.
What this skill does for you
Creator monetization : build a diversified revenue portfolio from an audience: memberships, products, brand deals, platform payouts. Use when someone wants to "make money as a creator," "monetize my audience," "start a membership/community," "sell a course/digital product," "get brand deals / set my rates," or build diversified creator income. Builds a revenue STACK rather than chasing a viral payout, using the STACK framework. Reads brand-profile + goals-and-kpis first. WoopSocial does NOT process payments, host products/memberships, or pay creators: the agent chooses/sequences streams, designs offers + media kit, and drafts promo posts; WoopSocial publishes the promo/launch posts; infrastructure is external; income is never promised or fabricated; sponsorships are disclosed (FTC). Distinct from email-and-newsletter (the owned channel), lead-magnets-and-funnels (funnel mechanics), and ugc-and-influencer (the BRAND side of creator deals : this is the creator side).
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 creator-monetization skill from social-media-skills/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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: 1. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/social-media-skills/skills
- Pinned skill file
- View source at revision
- Revision
- 6e30eeb2f6736bda8683b6bbaa674af3641d7945
- Package hash
- sha256:6322db832ab0394ff5c8f16a98c643c8f906c2fd1b6e4c779a0094f77712f42c
- Licence
- MIT