lead-magnets-and-funnels
Lead magnets and funnels : design offers.
What this skill does for you
Lead magnets and funnels : design offers that turn social traffic into subscribers, leads, and customers. Use when someone wants to "create a lead magnet," "build a funnel," "design a freebie/opt-in," "make a quiz/calculator/template to grow my list," or turn social traffic into qualified leads and customers. Designs the magnet the capture paths deliver PLUS the whole social->capture->nurture funnel, using the MAGNET framework. Reads brand-profile + goals-and-kpis first. WoopSocial has no landing/form/email/quiz builder: the agent designs the magnet + funnel and drafts the nurture and promo posts; WoopSocial publishes the promo posts; capture/delivery/nurture run in external tools; metrics from those + GA4, never fabricated; no dark patterns. Distinct from link-in-bio-and-traffic / social-selling-and-dm (the capture paths) and email-and-newsletter (the owned channel).
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 lead-magnets-and-funnels 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:f110a9db587b209296f3fc087837378807d9282116a8bc0917ac76ad233e2a32
- Licence
- MIT