Skill Detail

Run an affiliate marketing flywheel with affiliate-skills

Use affiliate-skills to chain agent workflows for program research, trend scouting, content creation, landing pages, compliance, analytics, and optimization.

Content Writing & SEOMulti-Framework
Content Writing & SEO Multi-Framework Security Reviewed
⭐ 661 GitHub stars
COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill run-an-affiliate-marketing-flywheel-with-affiliate-skills Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Agent Skills-compatible AI client; optional Claude Code, Pi, ChatGPT, Gemini CLI, Cursor, Windsurf, or OpenClaw; Node/npm for npx skills add; optional ClawHub/OpenClaw; chosen external research, analytics, and publishing accounts
Install & setup
Install with npx skills add Affitor/affiliate-skills for supported Agent Skills clients, clone manually into a skills directory and run ./setup if needed, or run clawhub install affiliate-skills in OpenClaw/ClawHub.
Author
Affitor
Publisher
Organization
Last updated
Sep 15, 2026
Quick brief

Use affiliate-skills when an agent or operator needs a repeatable affiliate marketing workflow rather than isolated prompts for content or SEO. The workflow is concrete: install the skill pack, pick a niche or product lane, run program search and trend scouting, produce a research brief, rank angles, generate posts, scripts, infographics, landing assets, and distribution plans, then feed analytics and compliance checks back into the next research cycle.

How it works

What this skill actually does

Invoke this instead of using individual marketing tools normally when the job is a closed-loop affiliate operation: selecting programs from live data, validating traffic and trend signals, creating research-backed content, building landing pages or bio links, auditing FTC disclosure, repurposing content, and optimizing based on conversion feedback. It is strongest when a user wants an agent to preserve workflow state across the funnel rather than manually stitching together separate research, writing, and analytics steps.

This is not a generic affiliate-marketing product or directory listing. The scope boundary is the documented collection of Agent Skills, shared references, registry metadata, optional CLI tooling, and flywheel chaining behavior. Keep it focused on operating the skill pack and its review checkpoints, not promising affiliate revenue or endorsing any one program.

Inputs and prerequisites: an agent that can read Agent Skills text; optional Claude Code, Pi, ChatGPT, Gemini CLI, Cursor, Windsurf, or OpenClaw; Node/npm for npx skills add; optional OpenClaw/ClawHub; access to any external data sources or publishing surfaces the operator chooses to use.

Setup notes: Install with npx skills add Affitor/affiliate-skills for Claude Code, Pi, Cursor, or Windsurf; clone manually into a skills directory and run ./setup when needed; or use clawhub install affiliate-skills in OpenClaw/ClawHub environments.

Source and verification boundary: use https://github.com/Affitor/affiliate-skills as the canonical source; review source collection, FTC compliance, generated claims, affiliate links, tracking parameters, and publishing destinations before external use.

Framework fit: publish this as a Multi-Framework workflow because upstream explicitly supports multiple agent hosts and any AI that reads text; the core invocation is the Agent Skills pack and flywheel, not one specific runtime.