content-research-brief

1# Content Research Brief
2 
3Research a topic by collecting 5-10 real source articles, auto-tagging them by theme,
4extracting key data points, and synthesizing unique content angles. The output is a
5structured research brief that any downstream content skill can consume.
6 
7**The problem this solves:** Most AI-written affiliate content is generic because it's
8written from the model's training data — not from real, current sources. This skill
9forces research-first content creation: find real articles, extract real data, then
10write from those sources. The result is content with specific stats, real quotes, and
11current information that readers (and Google) actually value.
12 
13Inspired by the [content-pipeline](https://github.com/Affitor/content-pipeline) approach:
14Topic → Search → Select sources → Synthesize → Write with context.
15 
16## Stage
17 
18This skill belongs to Stage S2: Content — but acts as the research foundation for all content skills.
19 
20## When to Use
21 
22- Before writing any article, blog post, or long-form content
23- When you need current data and stats about a topic (not just AI-generated claims)
24- When creating comparison content (need real feature/pricing data from sources)
25- When writing about a product launch, funding round, or industry trend
26- After `trending-content-scout` identifies a topic — research it deeper
27- When you want unique angles: N sources → N different content pieces
28 
29## Input Schema
30 
31```yaml
32…