contentpipe-social-research

Gather community discussion signals via targeted social search queries.

10|2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/PPPPanda/contentPipe --skill contentpipe-social-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: contentpipe-social-research
Source: https://github.com/PPPPanda/contentPipe/tree/main/skills/contentpipe-social-research
Command: npx skills add https://github.com/PPPPanda/contentPipe --skill contentpipe-social-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps gather community discussion signals for content production, so you can draw on real creator and audience viewpoints instead of relying only on mainstream web search.

Core Features & Use Cases

  • Social-first discovery: Generates search queries targeted at X/Twitter, XiaoHongShu, Bilibili, Reddit, and similar communities to surface relevant discussion.
  • Evidence-aware link collection: Collects representative links and favors readable snippet information first, only fetching page content when it is likely useful.
  • Distillation for writing: Extracts recurring opinions, representative examples, and disagreements/controversy, while keeping confidence level appropriate for anecdotal material.
  • Suggested output structure: Produces a ready-to-use YAML-like structure (topic, recurring views, examples, disagreements) for downstream use by ContentPipe nodes.

Quick Start

Use contentpipe-social-research to collect and distill community discussion evidence for a given topic, then provide it to the ContentPipe Scout or Researcher stage as structured signals and representative links.

Frequently Asked Questions about contentpipe-social-research

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

FAQPage Schema
How do I gather community discussion signals from platforms like X and XiaoHongShu for content research?

Social research extracts recurring views, representative examples, and disagreements from platform discussions, providing anecdotal evidence to ground topic angles and writer briefs in real audience reactions.

How do I extract recurring opinions and disagreements from social media posts?

It applies evidence-strength-aware distillation to keep confidence levels appropriate for anecdotal material, ensuring extracted opinions remain grounded in the discovered social links.

Can I collect social media evidence without fetching full page content?

This snippet-first approach minimizes unnecessary page fetching while still gathering enough context to distill representative examples and recurring viewpoints for your topic.

Does social research work with Reddit and Bilibili for finding audience reactions?

It structures the collected signals into recurring views, examples, and disagreements, ready for downstream use in fact-check packages and writer briefs.

What is the best way to structure social media research for writer briefs?

This structure ensures writer briefs and fact-check packages draw on real creator viewpoints and audience reactions rather than relying solely on mainstream web search results.