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Rank content angles by engagement data, competition level, and platform fit. Data-driven angle selection instead of guesswork.
Passed 9 of 16 test cases with the skill, and 3 of 16 without it.
and 6 more in the full report
9 fixed4 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to evaluate a live product demo angle for promoting CapCut on TikTok. What base platform fit score applies to a demo format on TikTok?
| Checked | Without skill | With skill |
|---|---|---|
| assigns a platform fit score of 10 out of 10 for a product demo format on TikTok | Missed | Passed |
The instructions your model reads when the skill loads.
You have a keyword. You know the niche. But what specific content should you create? Which angle, format, and hook will actually perform? This skill answers that question with data — not gut feeling.
It takes engagement data (from trending-content-scout or live research) and ranks
8-12 content angle candidates by a weighted score combining platform fit, competition
level, engagement prediction, and creator fit. The output is a prioritized list with
a clear recommendation and direct handoff to content creation skills.
Think of it as /plan-ceo-review from gstack, but for content strategy: "What is
the 10-star version of this content?" — except the answer is backed by engagement data.
This skill belongs to Stage S1: Research — but it bridges directly into S2: Content Creation.
trending-content-scout ran — use its data to pick the best anglekeyword: string # (required if no scout_data) "AI video tools"
product: object # (optional) Affiliate product being promoted
name: string # "HeyGen"
description: string # What it does
url: string # Product URL or affiliate link
reward_value: string # Commission info — never shown in content
platform: string # (required) Target platform for content creation
# "youtube" | "tiktok" | "linkedin" | "x" | "reddit" | "blog"
creator_strengths: string[] # (optional) What the user is good at
# "storytelling" | "technical" | "humor" | "authority" |
# "visual" | "data" | "personal_experience"
test cases passed, vs 3 / 16 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.