collabs-and-cross-promotion
Creator collabs and cross-promotion : organic creator-to-creator partnerships.
What this skill does for you
Creator collabs and cross-promotion : organic creator-to-creator partnerships that swap audiences. Use when someone wants to set up a collab, audience swap, cross-promotion, shoutout swap, joint giveaway, guest spot, joint video/series, a YouTube/IG collab post, or co-promo with another creator. Picks a complementary, similar-size, values-aligned partner, agrees the plan before creating, and co-creates shared-value content (not a bare shoutout) on a coordinated schedule. Uses the UNITE framework. Reads brand-profile + goals-and-kpis first. WoopSocial publishes each partner's OWN posts to their OWN accounts; it does NOT create native IG Collab co-authored posts, run giveaways, duet/stitch, or manage the agreement. A pure mutual collab isn't a sponsorship, but payment/free product makes it one -> disclose -> ugc-and-influencer; partnerships must be genuine; metrics never fabricated. Distinct from ugc-and-influencer (brand->creator) and creator-monetization (the creator's income).
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 collabs-and-cross-promotion 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
- sha256:69504a6317bd33e603a61cf319e0b1959fd7a450dbcaf214643e078a77f59627
- Licence
- MIT