Summary Affitor/affiliate-skills provides 50 AI-powered skills to automate the affiliate marketing lifecycle. It targets affiliates, creators, and marketers, replacing guesswork with data-driven insights for program research, trend scouting, content generation, landing page creation, and campaign scaling across diverse AI agents.

How It Works The core is a closed-loop "Affiliate Flywheel" spanning 8 stages: Research, Content, Blog/SEO, Offers/Landing, Distribution, Analytics, Automation, and Meta. It emphasizes data-driven strategies, analyzing real engagement metrics, traffic, and competitor data before content creation. Content is research-backed. Skills chain automatically, with analytics feeding back into research for continuous optimization.

Quick Start & Requirements Installation: npx skills add Affitor/affiliate-skills (Claude Code, Pi, Cursor, Windsurf), manual git clone + ./setup, or paste bootstrap prompt into any AI ("no install"). Requires an AI agent; npx/git for some installs. Companion tools (hidrix-tools) may need Node.js/npm/bun and API keys. Links: API.md, social-data-providers.md.

Highlighted Details

• 50 Modular Skills: Cover the full affiliate flywheel from research to scaling.
• Data-Driven Automation: Uses skills like trending-content-scout and traffic-analyzer based on real engagement/traffic data.
• Universal AI Compatibility: Works with any AI agent, with specific integrations for enhanced functionality.
• Markdown-Based Skills: Each skill is a SKILL.md file defining triggers, schemas, and workflows.
• Extensible Ecosystem: Integrates with hidrix-tools (social data) and content-pipeline (web workflow).

Maintenance & Community Developed by Affitor; community contributions welcomed via CONTRIBUTING.md. Specific details on maintainers, sponsorships, or community channels are not provided in the README.

Licensing & Compatibility MIT license: permissive for commercial use and integration into closed-source projects. Skills are "pure Markdown," ensuring broad AI platform compatibility.

Limitations & Caveats Several skills are marked 🆕 (new), potentially indicating alpha/beta stages. Advanced data acquisition relies on optional companion tools (hidrix-tools) requiring separate setup and API keys. Effectiveness depends on the integrated AI agent and external data provider quality.