email-and-newsletter
Email and newsletter strategy for creators and brands : the owned-audience layer.
What this skill does for you
Email and newsletter strategy for creators and brands : the owned-audience layer that social feeds. Use when someone wants to "start/grow a newsletter," "build an email list," "turn followers into subscribers," "should I use Substack/beehiiv/LinkedIn," "repurpose my newsletter into social (or vice versa)," or build the audience layer social can't take away. Runs email (habit) + a web archive (discovery) off the same work and loops content social<->email. Uses the INBOX framework. Reads brand-profile + voice-builder + content-pillars first. WoopSocial does NOT send email : the agent strategizes and drafts, the ESP is external and human-run, WoopSocial publishes only the social side; metrics come from the ESP + GA4, never fabricated; consent + unsubscribe required. Distinct from link-in-bio-and-traffic (capture), cross-platform-repurposing (same-moment), and lead-magnets-and-funnels (the magnet).
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 email-and-newsletter 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
- sha256:3509cde962f252c264626337360525ead650cdd52ec8e0aff495ed54f6619e32
- Licence
- MIT