Agent skill · Documentation

content-research-brief

Research trending topics, collect source articles, and generate a structured research brief for content creation. Stop writing from thin air — write from real sources. Use this skill when the user wants to research a topic before writing, collect sources for an article, create a research-backed content brief, or says "research [topic] for me", "find sources about [keyword]", "content brief for [topic]", "what's the latest on [product]", "research before writing", "collect articles about [keyword]", "trending news about [topic]", "gather sources for my article", "brief me on [topic]", "what are

Affitorgithub.com/AffitorGitHub ↗
claude-codecursorMIT
Install
npx skills add Affitor/affiliate-skills --skill content-research-brief --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 16 KB
Bundled scripts: none
Version: 1.0.0
Declared author: affitor
Requires: Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent
Path: skills/content/content-research-brief/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 586
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Content Research Brief 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](https://github.com/Affitor/content-pipeline) approach: Topic → Search → Select sources → Synthesize → Write with context. ## Stage This skill belongs to Stage S2: Content — but acts as the research foundation for all content skills. ## When to Use - Before writing any article, blog post, or long-form content - When you need current data and stats about a topic (not just AI-generated claims) - When creating comparison content (need real feature/pricing data from sources) - When writing abou

What's inside
Steps it walks through
  1. Stage
  2. When to Use
  3. Input Schema
  4. Workflow
  5. Step 1: Search for Sources
  6. Step 2: Fetch and Extract Source Content
  7. Step 3: Auto-Tag Sources
  8. Step 4: Extract Key Data Points
  9. Step 5: Synthesize Unique Angles
  10. Step 6: Compile Research Brief
  11. Step 7: Self-Validation
  12. Output Schema
  13. Output Format
  14. Error Handling
More from affiliate-skills
All skills →
About this skill
What does the content-research-brief skill do?

Research trending topics, collect source articles, and generate a structured research brief for content creation. Stop writing from thin air — write from real sources. Use this skill when the user wants to research a topic before writing, collect sources for an article, create a research-backed content brief, or says "research [topic] for me", "find sources about [keyword]", "content brief for [topic]", "what's the latest on [product]", "research before writing", "collect articles about [keyword]", "trending news about [topic]", "gather sources for my article", "brief me on [topic]", "what are

How do I install it?

Run `npx skills add Affitor/affiliate-skills --skill content-research-brief --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Affitor/affiliate-skills, a repository with 586 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going