Verified:GitHub

last30days

Search Reddit, X, YouTube, Hacker News, Polymarket, and the web for the last 30 days and generate a structured report with prompt pack.

Updated Apr 14, 2026

Search Tags:#citations #prompts #prompt-pack #clawhub #last30days #multi-source research #cross-source synthesis

Ready to run

npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill last30days-gerald-ica

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: last30days
Source: https://github.com/gerald-ica/opencode-config-snapshot/tree/main/opencode/skills/last30days
Command: npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill last30days-gerald-ica

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automates thorough, up-to-date research across multiple sources from the last 30 days and generates copy-paste-ready prompts to accelerate tool deployment and decision making.

Core Features & Use Cases

Multi-source research: Reddit, X, YouTube, Hacker News, Polymarket, and the web (with optional WebSearch) to surface what communities are discussing and valuing now.
Output utility: produces a compact report plus a ready-to-use prompt pack and a reusable context snippet for deployment into Claude Code, Codex, or other targets.
Cross-source synthesis: weights signals like engagement, recency, and relevance, de-duplicates results, and links related findings across sources.

Quick Start

Run /last30days on a topic to begin research and receive a ready-to-paste prompt pack.

Frequently Asked Questions about last30days

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

FAQPage Schema

How do I research recent trends across Reddit, X, and YouTube simultaneously?▼

Multi-source research across Reddit, X, YouTube, Hacker News, Polymarket, and the web surfaces what communities are discussing now. It filters results to the last 30 days and weights signals like engagement and recency to synthesize cross-source findings into a compact report.

Can I generate ready-to-use AI prompts from recent web research?▼

Yes, cross-source synthesis of recent findings produces a copy-paste-ready prompt pack and a reusable context snippet. These outputs are formatted for immediate deployment into AI agents like Claude Code or Codex.

How do I find what people are upvoting and sharing on Hacker News and Polymarket?▼

Engagement-weighted scoring analyzes upvotes and shares across Hacker News, Polymarket, and other sources from the last 30 days. It de-duplicates results and links related findings to surface highly valued community discussions.

Does this multi-source research tool work without external dependencies?▼

The pipeline operates deterministically with date filtering and deduplication without requiring external dependencies. Optional WebSearch integration can be added to expand web coverage during the research process.

What is the best way to automate 30-day trend monitoring for AI agent deployment?▼

Running a deterministic pipeline with date filtering to the last 30 days automates trend monitoring effectively. It returns a structured report alongside a reusable context snippet suitable for integration with AI agents.

Why are my cross-source research results outdated or duplicated?▼

Deterministic date filtering strictly limits results to the last 30 days, while built-in deduplication removes repeated findings across sources. This ensures the synthesized report contains only recent, unique, and engagement-weighted data.