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Affitor
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content-research-brief

Collects real source articles and generates structured research briefs with content angles.

640|199|Updated Mar 15, 2026
Search Tags:#web search#content research#fact extraction#affiliate marketing#research brief#content angles#source collection
One-click install
npx skills add https://github.com/Affitor/affiliate-skills --skill content-research-brief
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: content-research-brief
Source: https://github.com/Affitor/affiliate-skills/tree/main/skills/content/content-research-brief
Command: npx skills add https://github.com/Affitor/affiliate-skills --skill content-research-brief

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Most AI-written affiliate content is generic because it comes from model training data rather than real, current sources. This Skill forces a research-first workflow: it finds real articles, extracts stats and quotes, and produces a structured brief so downstream content is grounded in verifiable data.

Core Features & Use Cases

  • Multi-source collection: Searches news, blogs, LinkedIn, YouTube, Reddit, and academic sources, then fetches and extracts key data points, quotes, and theses from 3-10 articles.
  • Auto-tagging and synthesis: Tags each source by theme (AI, Funding, Pricing, Comparison, etc.) and merges stats, quotes, and facts into a deduplicated master data list.
  • Angle generation: Produces multiple distinct content angles, each with a hook, supporting data, format suggestion, and a recommended next skill such as viral-post-writer or affiliate-blog-builder.
  • Use Case: Before writing a LinkedIn post about HeyGen, run this Skill to gather 7 recent sources, extract stats like funding rounds and user counts, and receive three ready-to-write angles with hooks and citations.

Quick Start

Ask your AI agent to research a topic before writing, for example: research HeyGen AI video tools and create a content brief with sources and angles.

Frequently Asked Questions about content-research-brief

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research a topic before writing a blog post with AI?▼

Provide a topic and optionally source types, freshness, and source count. The skill searches news, blogs, Reddit, and other sources, fetches 3-10 articles, extracts stats and quotes, and returns a structured brief with ready-to-write content angles.

What sources can the content research brief collect from?▼

It supports news, blog, LinkedIn, YouTube, Reddit, and academic source types. You can combine multiple types in one run, and set freshness filters from day to year to control how recent the articles are.

Does the research brief work with paywalled articles?▼

When a source cannot be fully fetched due to a paywall or timeout, the skill falls back to the search snippet and marks that source with snippet status in the output. It warns you if fewer than three sources were fully fetched.

How does the skill prevent hallucinated statistics?▼

Every data point in the brief must be traceable to a specific fetched source URL, and a self-validation checklist verifies sources are real before delivery. Untraceable stats are flagged as a hallucination failure mode in the feedback protocol.

What should I do with the research brief output?▼

Pick one of the generated angles and run the suggested downstream skill, such as viral-post-writer for LinkedIn, affiliate-blog-builder for long-form articles, or infographic-generator to visualize the extracted stats.

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