affiliate-skills and Claude-Skills

One is a specialized suite of AI skills for affiliate marketing, while the other is a much broader collection of production-ready AI skills spanning numerous business functions, making them **competitors** if a user is looking for general Claude skills, but **complements** if a user specifically needs affiliate marketing skills *in addition to* a wider range of general business AI capabilities.

affiliate-skills
55
Established
Claude-Skills
48
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 9/25
Community 23/25
Maintenance 13/25
Adoption 7/25
Maturity 11/25
Community 17/25
Stars: 151
Forks: 70
Downloads:
Commits (30d): 0
Language: HTML
License: MIT
Stars: 36
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License:
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-Skills

borghei/Claude-Skills

199+ production-ready AI skills for Claude Code, Cursor, Copilot, Codex & more — Engineering, Marketing, Product, PM, C-Level, Compliance (18 frameworks), Finance, HR, Sales, Data Analytics, Business Growth

Skills are organized as modular markdown files with YAML frontmatter and paired Python CLI tools (using only stdlib, no ML dependencies), deployable directly to Claude Code, Cursor, or other AI assistants via git clone, installer script, or manual copy. The project includes 19 specialized role-based agents that orchestrate multi-skill workflows, 6 autonomous subagents for code review/QA/security/docs, and 12 GitHub Actions templates for CI/CD validation and release automation across 10+ AI coding platforms.

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