Agent skill · Content & Marketing

competitor-spy

Reverse-engineer successful affiliate strategies from competitors. Use this skill when the user asks about spying on competitors, researching what other affiliates promote, analyzing competitor affiliate sites, understanding how top affiliates in a niche make money, or says "what programs does X promote", "how does [site] make money", "what affiliate strategy does this site use", "spy on competitor affiliates", "reverse engineer affiliate site", "copy what works in my niche", "who are the top affiliates in X niche", "what content gets traffic in my niche", "competitor affiliate analysis".

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 15 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/competitor-spy/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

# Competitor Spy Analyze competitor affiliate sites, YouTube channels, and social profiles to surface which programs they promote, what content drives their traffic, and which strategies are worth replicating. Outputs an actionable reverse-engineering report so you can skip years of trial and error. ## Stage This skill belongs to Stage S1: Research ## When to Use - User wants to know what programs are working in a specific niche - User has a competitor site/channel in mind and wants to understand their strategy - User is entering a new niche and wants a shortcut to what works - User wants to find underserved content gaps a competitor hasn't covered - User asks "how do top affiliates in [niche] make money?" ## Input Schema ``` { competitor_url: string # (optional) Direct URL to competitor site, channel, or profile niche: string # (optional) Niche to analyze if no specific competitor given platform: string # (optional) "blog" | "youtube" | "tiktok" | "twitter" | "newsletter" depth: string # (optional, default: "standard") "quick" | "standard" | "deep" focus: string # (optional) "programs" | "content" | "traffic" | "all" } ``` ## Workflow ### Step 1: Identify Competitors to Analyze If

What's inside
Steps it walks through
  1. Stage
  2. When to Use
  3. Input Schema
  4. Workflow
  5. Step 1: Identify Competitors to Analyze
  6. Step 2: Identify Affiliate Programs They Promote
  7. Step 2.5: Analyze Competitor Content Engagement (data-driven)
  8. Step 3: Analyze Their Content Strategy
  9. Step 4: Find Content Gaps
  10. Step 5: Score Competitor Strategies
  11. Step 6: Build the Intelligence Report
  12. Step 7: Self-Validation
  13. Output Schema
  14. Output Format
Ships with 1 file
  • LICENSE.txt
More from affiliate-skills
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About this skill
What does the competitor-spy skill do?

Reverse-engineer successful affiliate strategies from competitors. Use this skill when the user asks about spying on competitors, researching what other affiliates promote, analyzing competitor affiliate sites, understanding how top affiliates in a niche make money, or says "what programs does X promote", "how does [site] make money", "what affiliate strategy does this site use", "spy on competitor affiliates", "reverse engineer affiliate site", "copy what works in my niche", "who are the top affiliates in X niche", "what content gets traffic in my niche", "competitor affiliate analysis".

How do I install it?

Run `npx skills add Affitor/affiliate-skills --skill competitor-spy --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.

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