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Set up affiliate conversion tracking with UTM parameters and link tagging.
Passed 14 of 22 test cases with the skill, and 7 of 22 without it.
and 11 more in the full report
10 fixed4 passed either way5 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am promoting Figma (`figma.com/ref=design`) on Twitter and LinkedIn. I haven't specified a campaign identifier. What campaign name will be used in the UTM tags?
| Checked | Without skill | With skill |
|---|---|---|
| Combines the product name with a date identifier for utm_campaign | Missed | Passed |
The instructions your model reads when the skill loads.
Set up affiliate conversion tracking — generate UTM-tagged links, create link naming conventions, configure tracking pixel setup instructions, and build a tracking spreadsheet. Output is a Markdown tracking guide with a table of tagged links ready to deploy.
S6: Analytics — The difference between amateur and professional affiliates. You can't optimize what you don't measure. After deploying content (S5), you need UTM-tagged links for every platform and content piece to know exactly which channel drives conversions.
product:
name: string # REQUIRED — product name (e.g., "HeyGen")
affiliate_url: string # REQUIRED — base affiliate link
platforms: # OPTIONAL — where content will be published
- string # e.g., ["linkedin", "twitter", "blog", "email", "reddit"]
# Default: ["blog", "twitter", "linkedin"]
campaign_name: string # OPTIONAL — campaign identifier (e.g., "q1-2026-ai-tools")
# Default: auto-generated from product name + date
tracking_tool: string # OPTIONAL — "google_analytics" | "voluum" | "clickmagick"
# | "manual_utm". Default: "manual_utm"
content_types: # OPTIONAL — types of content being created
- string # e.g., ["blog_review", "social_post", "email", "landing_page"]
Chaining context: If S1 was run, pull recommended_program.affiliate_url and recommended_program.name. If S2-S5 outputs exist, use them to determine platforms and content types automatically.
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.