affiliate-skills and claude-email

These AI-powered tools are complementary, as one focuses on full-funnel affiliate marketing and the other on email management and marketing, both crucial for digital outreach.

affiliate-skills
55
Established
claude-email
41
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 9/25
Community 23/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 14/25
Stars: 151
Forks: 70
Downloads:
Commits (30d): 0
Language: HTML
License: MIT
Stars: 9
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About affiliate-skills

Affitor/affiliate-skills

AI-powered Claude Skills for affiliate marketers. Full funnel: research → content → blog → landing → deploy.

Comprises 45 interconnected skills organized across an 8-stage affiliate marketing flywheel (research → content → blog → landing → distribution → analytics → automation → meta), with automatic skill chaining and closed-loop feedback from analytics back to research. Integrates with the Affitor program directory API for live commission and cookie data, and works via text I/O across Claude Code, ChatGPT, Gemini, Cursor, Windsurf, and OpenClaw—installable as native skills or bootstrapped via markdown prompt. Each skill declares suggested next steps and data dependencies, enabling AI agents to autonomously orchestrate multi-stage campaigns from program selection through A/B testing and compliance audits.

About claude-email

AgriciDaniel/claude-email

AI-powered email management and marketing skill for Claude Code. Inbox triage, composition, quality review, deliverability audit, automation sequences, and marketing strategy.

Operates as a modular skill system within Claude Code using MCP servers for Gmail/Outlook inbox access, with 6 sub-skills spanning triage, composition, review, and strategy generation. Includes Python-based deliverability validation (SPF/DKIM/DMARC checking, blacklist monitoring) and pre-send quality gates that score emails across clarity, professionalism, CTA strength, and technical standards. Adapts recommendations via stored user profiles that capture business type, brand voice, and compliance region.

Scores updated daily from GitHub, PyPI, and npm data. How scores work