Last 30 Days

Generate a narrative-first cross-platform report on topic discussions within a 30-day window.

626|225|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/aaronjmars/aeon --skill last-30-days-aaronjmars
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Last 30 Days
Source: https://github.com/aaronjmars/aeon/tree/main/skills/last30
Command: npx skills add https://github.com/aaronjmars/aeon --skill last-30-days-aaronjmars

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns noisy, platform-by-platform chatter into a coherent view of what people are actually saying about a topic over the last 30 days, including where platforms sharply disagree.

Core Features & Use Cases

  • Narrative-first cross-platform research: clusters the same underlying story across Reddit, X, Hacker News, and the web to produce narrative summaries rather than lists of links.
  • Disagreement as signal: prioritizes divergence in sentiment and framing between platforms to surface the most actionable insights.
  • What-changed snapshots: compares the current window to the prior snapshot for the same topic to highlight NEW, FADED, and FLIPPED narratives.
  • Data hygiene & deduplication: collapses near-duplicate “same article reposted” items and guards against topic drift so the report stays focused.

Quick Start

Ask Last 30 Days to research a topic by running: Last 30 Days with var set to "solana firedancer --days=30" (add --quick for a lighter pass).

Frequently Asked Questions about Last 30 Days

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

FAQPage Schema
How do I track shifting narratives across social platforms over a 30-day period?

To monitor cross-platform narratives, you request a topic using a parameter string like "topic --days=30". The tool parses the variable, retrieves multi-source data with rate-limit fallbacks, clusters narratives, and generates a verdict comparing the current window to a prior snapshot.

How do I compare sentiment divergence between Reddit, X, and Hacker News?

You can compare sentiment divergence by analyzing the generated report, which explicitly prioritizes disagreement in sentiment and framing between platforms. This surfaces the most actionable insights by showing exactly where cross-platform narratives split.

What is narrative clustering and how does it deduplicate web monitoring data?

Narrative clustering uses anchor-token overlap and URL deduplication to collapse near-duplicate items like reposted articles. This data hygiene process guards against topic drift and ensures the snapshot comparison remains focused on the core topic.

Can I run a lighter web monitoring pass for cross-platform research?

Yes, you can add the --quick parameter to your topic variable to execute a lighter research pass. This reduces the multi-source retrieval load while still applying narrative clustering and snapshot comparison to generate a cross-platform verdict.

How do I identify new, faded, and flipped narratives in market signals?

You identify new, faded, and flipped narratives by generating a What-changed snapshot comparison against a prior window. This comparison explicitly highlights NEW, FADED, and FLIPPED narratives, turning noisy market signals into coherent actionable insights.