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Reverse-engineer successful affiliate strategies from competitors.
Passed 10 of 18 test cases with the skill, and 5 of 18 without it.
and 7 more in the full report
7 fixed5 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Calculate the engagement score for a competitor YouTube video with 50,000 views, 1,200 likes, 300 comments, and 100 shares according to the standard social engagement formula.
| Checked | Without skill | With skill |
|---|---|---|
| Weights likes by 2, comments by 3, and shares by 5. | Missed | Passed |
| Calculates the resulting engagement score as 76.0. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
This skill belongs to Stage S1: Research
{
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"
}
If competitor_url is provided, skip to Step 2.
If only niche is provided, find 3-5 top competitors:
web_search "best [niche] affiliate sites" — look for review/comparison sitesweb_search "[niche] review site affiliate" — find review-first monetization modelstest cases passed, vs 5 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.