affiliate-onboarding-sequence

Design the onboarding sequence that carries a newly approved affiliate from approval to first tracked...

What this skill does for you

Design the onboarding sequence that carries a newly approved affiliate from approval to first tracked conversion - touch plan (timing, channel, one action per touch), asset kit, time-boxed activation nudge, and never-activated follow-up branch. Covers B2B SaaS partner programs and B2C ecommerce affiliate programs. Use whenever the user mentions affiliate onboarding, an affiliate welcome email series, affiliate activation, a new-affiliate ramp, partner activation emails, or approved affiliates who never send a click or a sale, even if they never say onboarding. Starts at approval - to pitch affiliates who have not joined yet use mbfinotti/partnerships-skills@affiliate-recruitment-outreach.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti

Repositorypartnerships-skills

Installs623as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the affiliate-onboarding-sequence skill from mbfinotti/partnerships-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. 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: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . 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: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mbfinotti/partnerships-skills
Pinned skill file: View source at revision
Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc
Package hash: sha256:51949672bcab5d3e3ba5688fefbe6827f56679888fd42898d8decbee05c09214
Licence: MIT