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Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture.
Passed 15 of 22 test cases with the skill, and 10 of 22 without it.
and 5 more in the full report
6 fixed9 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Atomize my review of personal budget apps into TikTok content for young professionals.
| Checked | Without skill | With skill |
|---|---|---|
| Formats TikTok output explicitly as video scripts containing hooks and visual directions | Passed | Passed |
| Limits TikTok script lengths to estimated 30-60 second spoken durations | Missed | Passed |
The instructions your model reads when the skill loads.
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. This is NOT reformatting — it's re-contextualizing each piece for the platform's culture, format, and audience expectations. A LinkedIn post reads nothing like a Reddit comment, even if they carry the same insight.
S2: Content Creation — This IS content creation, just at 10x scale. One piece of deep work becomes a month of social content.
affiliate-blog-builder (S3) produces an article — atomize it into socialpillar_content: string # REQUIRED — the full blog post/article text, or URL to fetch
platforms: string[] # OPTIONAL — target platforms
# Options: "twitter", "linkedin", "reddit", "tiktok", "email", "threads"
# Default: ["twitter", "linkedin", "reddit"]
product: object # OPTIONAL — affiliate product being promoted
name: string
url: string
reward_value: string
mode: string # OPTIONAL — "quality" | "volume"
# Default: "quality"
tone: string # OPTIONAL — "professional" | "casual" | "edgy" | "educational"
# Default: inferred from pillar content
Chaining from S3: If affiliate-blog-builder was run, use its output article as pillar_content.
Chaining from S1 monopoly-niche-finder: Use monopoly_niche positioning to angle all micro-content.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.