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Research trending topics, collect source articles, and generate a structured research brief for content creation. Stop writing from thin air — write from real sources.
Passed 9 of 15 test cases with the skill, and 5 of 15 without it.
and 4 more in the full report
7 fixed6 passed either way7 still failing2 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.
Here is an article about a startup that raised $25M in Series B funding at a $200M valuation. Categorize this source with appropriate research tags.
| Checked | Without skill | With skill |
|---|---|---|
| Assigns the Funding tag to the source | Missed | Passed |
The instructions your model reads when the skill loads.
Research a topic by collecting 5-10 real source articles, auto-tagging them by theme, extracting key data points, and synthesizing unique content angles. The output is a structured research brief that any downstream content skill can consume.
The problem this solves: Most AI-written affiliate content is generic because it's written from the model's training data — not from real, current sources. This skill forces research-first content creation: find real articles, extract real data, then write from those sources. The result is content with specific stats, real quotes, and current information that readers (and Google) actually value.
Inspired by the content-pipeline approach: Topic → Search → Select sources → Synthesize → Write with context.
This skill belongs to Stage S2: Content — but acts as the research foundation for all content skills.
trending-content-scout identifies a topic — research it deepertopic: string # (required) "HeyGen AI video tool", "email marketing trends 2024"
source_count: number # (optional, default: 7) How many sources to collect (3-10)
source_types: string[] # (optional, default: ["news", "blog"])
# Options: "news" | "blog" | "linkedin" | "youtube" | "reddit" | "academic"
freshness: string # (optional, default: "month") "day" | "week" | "month" | "year" | "any"
product: object # (optional) Focus research on a specific product
name: string # "HeyGen"
url: string # "https://heygen.com"
language: string # (optional, default: "en") "en" | "vi" | any ISO 639-1 code
test cases passed, vs 5 / 15 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.