Agent skill · Content & Marketing

affiliate-program-search

Research and evaluate affiliate programs to find the best ones to promote. Use this skill when the user asks anything about finding affiliate programs, comparing commission rates, evaluating affiliate opportunities, searching for products to promote, picking a niche, or mentions openaffiliate.dev. Also trigger for: "which SaaS should I promote", "best affiliate programs for X", "high commission programs", "recurring commission affiliate", "compare these affiliate programs", "is X affiliate program worth it", "find me something to promote", "what pays the most", "affiliate programs with long co

Affitorgithub.com/AffitorGitHub ↗
claude-codecursorMIT
Install
npx skills add Affitor/affiliate-skills --skill affiliate-program-search --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.0.0
Declared author: affitor
Requires: Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent
Path: skills/research/affiliate-program-search/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 586
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Affiliate Program Search Help affiliate marketers research, evaluate, and pick winning programs to promote. Data source: [openaffiliate.dev](https://openaffiliate.dev) — open affiliate program directory. Public API, no key required. ## Stage This skill belongs to Stage S1: Research ## When to Use - User wants to find affiliate programs to promote - User wants to compare two or more affiliate programs - User asks about commission rates, cookie duration, or earning potential - User mentions openaffiliate.dev - User is new to affiliate marketing and needs a starting point ## Input Schema ``` { niche: string # (optional, default: "AI/SaaS tools") Category or niche interest commission_pref: string # (optional, default: "recurring, 20%+") Commission preference audience: string # (optional, default: "content creators") Target audience type platform: string # (optional, default: "any") Platform they'll promote on compare: string[] # (optional) Specific programs to compare head-to-head } ``` ## Workflow ### Step 1: Understand What the User Wants Ask (if not clear from context): - Niche/category interest? (AI tools, SEO, video, writing, automation...) - Commission preference? (recurring vs

What's inside
Steps it walks through
  1. Stage
  2. When to Use
  3. Input Schema
  4. Workflow
  5. Step 1: Understand What the User Wants
  6. Step 2: Search openaffiliate.dev
  7. Step 3: Score Programs
  8. Step 4: Present Recommendation
  9. Step 5: Self-Validation
  10. Output Schema
  11. Output Format
  12. Error Handling
  13. Examples
  14. References
Ships with 5 files
  • LICENSE.txt
  • agents/openai.yaml
  • references/openaffiliate-api.md
  • references/platform-rules.md
  • references/scoring-criteria.md
More from affiliate-skills
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About this skill
What does the affiliate-program-search skill do?

Research and evaluate affiliate programs to find the best ones to promote. Use this skill when the user asks anything about finding affiliate programs, comparing commission rates, evaluating affiliate opportunities, searching for products to promote, picking a niche, or mentions openaffiliate.dev. Also trigger for: "which SaaS should I promote", "best affiliate programs for X", "high commission programs", "recurring commission affiliate", "compare these affiliate programs", "is X affiliate program worth it", "find me something to promote", "what pays the most", "affiliate programs with long co

How do I install it?

Run `npx skills add Affitor/affiliate-skills --skill affiliate-program-search --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Affitor/affiliate-skills, a repository with 586 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going