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AlekseiUL
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last30days

Surface Reddit and X discussions from the last 30 days with engagement and recency scores.

64|21|Updated Mar 5, 2026
Search Tags:#research#context#reddit#prompts#websearch#x#last30days
One-click install
npx skills add https://github.com/AlekseiUL/sprut-agent-kit --skill last30days-alekseiul
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: last30days
Source: https://github.com/AlekseiUL/sprut-agent-kit/tree/main/skills/last30days
Command: npx skills add https://github.com/AlekseiUL/sprut-agent-kit --skill last30days-alekseiul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Quickly surface timely discussions across Reddit, X, and the web for any topic within the last 30 days, delivering high-signal insights and structured prompts to act on them.

Core Features & Use Cases

  • Cross-source research: Pulls results from Reddit, X, and the web for a topic and ranks them by engagement and recency.
  • Date-focused lookback: Enforces a strict 30-day window with hard freshness checks and fallback behavior.
  • Prompt pack & context: Outputs a copy-paste-ready prompt pack and a reusable context snippet for your target tool.
  • Use Case: You want to understand the latest chatter around a topic and craft targeted prompts or content.

Quick Start

Run the skill with a topic to generate a ready-to-use prompt pack and context snippet for your tool.

Frequently Asked Questions about last30days

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

FAQPage Schema
How do I find recent Reddit and X discussions for research within the last 30 days?▼

To surface recent discussions, you can research a topic across Reddit and X within a strict 30-day window. The results prioritize engagement and recency scores, using web search as a lower-weighted fallback to deliver high-signal insights.

Can I get a ready-to-use context snippet and prompt pack from web search results?▼

Yes, you can generate a copy-paste-ready prompt pack and a reusable context snippet from your web search results. This structured output is designed for immediate integration into your target tool to act on the gathered insights.

What is the best way to rank social media insights by engagement and recency?▼

The best way to rank social media insights is by computing scores that prioritize both engagement and recency. This method ensures that the most relevant and timely discussions from platforms like Reddit and X are surfaced first.

Does this research approach enforce a strict date lookback for topic monitoring?▼

Yes, this research approach enforces a strict 30-day lookback window with hard freshness checks. If primary sources lack recent data, it applies fallback behavior to ensure you still receive relevant context within that timeframe.

What limitations exist when using web search as a fallback for social media research?▼

When using web search as a fallback for social media research, its results are treated with lower weight in the scoring system. This limitation ensures that direct Reddit and X discussions remain the primary source of high-signal insights.

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