Using last30days to Improve Claude Code Research

The Breakthrough

The last30days skill allows Claude Code to move beyond surface-level web search by scraping and synthesizing user sentiment from social media platforms, providing a middle ground between generic search and resource-heavy deep research agents.

What Actually Worked

• Install the skill via a single command provided in the repository, which Claude Code then uses to automatically configure dependencies.
• Invoke the skill using natural language or the command /last30days followed by a topic, such as "What are people saying about Claude Opus 5?"
• Utilize the tool's parallel processing capability to scrape multiple platforms simultaneously, including Reddit, Hacker News, YouTube, TikTok, Instagram, GitHub, and Polymarket.
• Scope research to specific platforms by adding flags to the prompt if a broad search is not required.
• Access raw data outputs in JSON or markdown formats, which include full transcripts and comment threads, allowing for deeper analysis than standard search summaries.

Context

Standard web search in Claude Code often relies on high-ranking SEO articles, which frequently misses grassroots user sentiment found in comments or niche social discussions. Conversely, deep research agents can be prohibitively expensive and slow. The last30days skill bridges this gap by targeting community-driven platforms to provide a more accurate reflection of public opinion. While most sources are free to scrape, some platforms like X (Twitter) require an API key, costing approximately $0.10 per run, while others like TikTok and Instagram may require a Scrape Creators API key, though the skill provides a subsidized account for initial usage.