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last30days

Research recent public discussion across social, market, video, code, and web sources.

Updated May 6, 2026
Search Tags:#research#github#comparison#social listening#reddit#briefing#x
One-click install
npx skills add https://github.com/Takfes/indie-scaffolder --skill last30days-takfes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: last30days
Source: https://github.com/Takfes/indie-scaffolder/tree/main/components/agent-skills-commands/.agents/skills/last30days
Command: npx skills add https://github.com/Takfes/indie-scaffolder --skill last30days-takfes

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill turns noisy, scattered online discussion into a clear, evidence-backed research brief so you can understand what people are actually saying right now without manually checking dozens of sites.

Core Features & Use Cases

  • Cross-source research: Pulls and synthesizes current discussion from Reddit, X, YouTube, GitHub, Polymarket, Bluesky, Truth Social, TikTok, Instagram, Hacker News, Digg, and the web.
  • Flexible query handling: Supports general research, news monitoring, recommendations, prompting help, comparisons, and named-entity or project research with targeted source scoping.
  • Production-grade workflow: Uses planning, deduplication, clustering, source-specific enrichment, citation-safe synthesis, and optional saved HTML or markdown artifacts for sharing.
  • Use case: Ask for a 30-day view of a product, founder, trend, or comparison and get a concise summary of the strongest signals, recurring themes, and notable sources.

Quick Start

Ask the skill to research a topic from the last 30 days and synthesize what people are saying across social, market, and web sources.

Frequently Asked Questions about last30days

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

FAQPage Schema
How do I research recent social media discussions across Reddit, X, and YouTube?▼

To turn recent online chatter into a sharp research brief, this skill uses a Python 3.12+ CLI pipeline to pull, cluster, and synthesize discussions from Reddit, X, YouTube, and web sources into citation-safe markdown or HTML outputs.

What is the best way to turn online chatter into an evidence-backed briefing?▼

To turn recent online chatter into a sharp research brief, this skill uses a Python 3.12+ CLI pipeline to pull, cluster, and synthesize discussions from Reddit, X, YouTube, and web sources into citation-safe markdown or HTML outputs.

Do I need Python or platform credentials to generate a 30-day research brief?▼

Generating a research brief requires a Python 3.12+ CLI pipeline and optionally providing platform credentials to enable deeper source-specific enrichment across social, market, video, and code platforms.

Can I track recent public discussion and compare trends across multiple platforms?▼

Yes, you can track and compare recent public discussion across platforms like Reddit, X, GitHub, and Polymarket by using the skill's flexible query handling, which scopes sources for comparison-focused research and synthesizes recurring themes.

What sources are supported for social listening and market research briefs?▼

Social listening and market research briefs pull chatter from Reddit, X, YouTube, GitHub, Polymarket, Bluesky, Truth Social, TikTok, Instagram, Hacker News, Digg, and the web to synthesize general, news, recommendation, and entity-focused research.

How do I save and share the synthesized research brief outputs?▼

You can save and share research briefs by utilizing the pipeline's optional saved HTML or markdown artifacts, which capture clustered discussion themes and citation-safe synthesis for sharing after the research process completes.

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