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discourse-sweep

Aggregate and rank 30 days of cross-platform discourse into themed briefs.

1|Updated May 12, 2026
Search Tags:#web research#deduplication#topic clustering#discourse#ranking#recency
One-click install
npx skills add https://github.com/MoxyWolfLLC/moxywolf-plugins --skill discourse-sweep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: discourse-sweep
Source: https://github.com/MoxyWolfLLC/moxywolf-plugins/tree/main/plugins/4d-blog-engine/skills/discourse-sweep
Command: npx skills add https://github.com/MoxyWolfLLC/moxywolf-plugins --skill discourse-sweep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill turns a blog’s 30-day “what’s being discussed” research need into a ranked, de-duplicated set of cross-platform findings that can be used for downstream writing.

Core Features & Use Cases

  • Platform-targeted discourse retrieval: Pulls results from multiple sources (reddit, X, Hacker News, Substack, dev.to, GitHub, LinkedIn Pulse, Facebook, Quora, podcasts, and academic discovery).
  • Deterministic ranking, deduping, and clustering: Computes combined_score using relevance and recency, dedupes by title overlap, and clusters across sources to surface themes.
  • Writer-ready outputs with source verification scaffolding: Produces discourse.md plus sidecars (including tiering guidance) for later citation verification and drafting.
  • Specialist orchestration behavior: Designed to be invoked by the 4D Blog Engine orchestrator during Phase 3 (Discernment), not by end users directly.

Quick Start

Ask the 4D Blog Engine orchestrator to run the Phase 3 “30-day discourse sweep” for the topic angle so it writes ranked discourse research into the piece’s 03-discernment folder.

Frequently Asked Questions about discourse-sweep

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

FAQPage Schema
How do I aggregate and rank web research discourse by topic for a blog angle?▼

To rank web research discourse by topic, this skill aggregates findings across multiple platforms, dedupes them using title-overlap clustering, and calculates a combined score based on relevance and recency to produce a themed brief.

What is the best way to deduplicate cross-platform discourse findings by topic clustering?▼

Deduplicating cross-platform discourse findings is handled by title-overlap clustering, which groups identical or highly similar discussions across sources like Reddit, Hacker News, and Substack before applying recency-weighted scoring.

Can I retrieve and rank recent discourse from Reddit, X, and academic sources for content research?▼

Yes, you can retrieve recent discourse from Reddit, X, Hacker News, podcasts, and academic discovery sources. The skill pulls these findings, dedupes them, and applies recency-weighted scoring to rank the last 30 days of discussion.

How does recency-weighted scoring work for ranking 30-day online discourse?▼

Recency-weighted scoring for 30-day discourse works by computing a combined score that factors in both the relevance of the retrieved findings to your topic angle and how recently the discussions were published across web and academic sources.

Do I need an orchestrator to run a 30-day discourse sweep for blog research?▼

Yes, this skill is designed to be invoked by the 4D Blog Engine orchestrator during Phase 3 Discernment. You ask the orchestrator to run the 30-day discourse sweep, and it dispatches targeted queries that this skill aggregates.

What outputs does the topic discourse ranking skill generate for downstream writing?▼

The topic discourse ranking skill generates a Markdown brief (discourse.md) alongside JSON sidecars containing tiering guidance, ensuring strict anti-fabrication by only outputting retrieved findings for later citation verification and drafting.

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