How to boost Claude Code search with last 30 days skill

TL;DR

The last 30-day skill provides a middle ground between general web search and deep research by scraping multiple platforms to gauge real user sentiment. It analyzes sources like Reddit, YouTube, Tik Tok, Instagram, and GitHub, then synthesizes findings into a report, offering a deeper, grassroots view beyond headlines.

Transcript

Cloud Code has a research problem and this open- source GitHub repo solves it. It's called last 30 days and it helps you with a dilemma you face whenever you try to have Claude Code search for something. Either we rely on web search which basically is a glorified Google search or we have to use something like deep research which takes 5, 10, 15, 20... Read More

Key Insights

• The last 30-day skill aggregates data from 22 Reddit threads.
• The skill analyzes 13 exposts as part of its source set.
• The tool also covers 14 YouTube videos and 26 Tik Toks.
• It includes 13 Instagram reels and 16 Hacker News stories.
• The report lists 25 items from GitHub.
• Polymarket is also among the sources mentioned.
• The workflow compares last 30-day with Claude Plus web search to show depth.
• The repo can generate a raw JSON file containing transcripts and comments.
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Questions & Answers

Q: What problem does the last 30-day skill aim to solve for Claude Code users

The last 30-day skill addresses the weakness of relying solely on either a plain web search or deep research by Claude Code. It scrapes a wide range of platforms, not just headlines, to capture grassroots sentiment and nuanced discussions. This enables more informed, context-rich results when researching what people say about Claude Opus 5.

Q: How many sources are cited in the last 30-day report and what are some examples

The report draws from a diverse set of sources including 22 Reddit threads, 14 YouTube videos, 26 Tik Toks, 13 Instagram reels, 16 Hacker News stories, 25 GitHub items, and a source from Poly Market. This broad mix helps surface user sentiment, framing, and real-world discussions across platforms instead of relying only on search results.

Q: What is the difference between the last 30-day skill and a standard web search according to the video

The video contrasts the last 30-day skill with a standard web search by showing that the web search provides only a Google-like summary of major articles, while the last 30-day skill digs into grassroots content like comments and transcripts. This yields deeper insights and a more nuanced understanding of user sentiment across platforms.

Q: What action is required to install the last 30-day skill in Cloud Code

Installing the last 30-day skill in Cloud Code is described as a single line of code. The video notes that the repo provides the setup and mentions there may be optional API keys for certain platforms, but the core installation itself is simple and streamlined.

Q: What does the last 30-day report provide that a standard search does not

The last 30-day report provides platform-by-platform breakdowns, including how people speak about the topic on Reddit, YouTube, Tik Tok, Instagram, Hacker News, GitHub, and Poly Market. It also includes comments and transcripts, not just headlines, giving a grassroots perspective and richer context for interpretation.

Q: What is demonstrated in the video after running the skill for a topic

After running the skill, the video shows a summarized one-liner and a live breakdown by platform, including counts per source and the general sentiment. It also demonstrates how the raw results can be exported as markdown or JSON, offering an accessible, structured view of the data.

Q: What advantage does the 30-day skill offer over a pure web search when researching Claude Opus 5

The 30-day skill provides a more granular view of public opinion by collecting data from multiple social platforms, capturing comments and user dialogue rather than just article headlines. This enables a deeper, more reliable interpretation of how people actually feel about Claude Opus 5, beyond surface-level summaries.

Q: How is sentiment and relevance determined in the last 30-day report

The skill synthesizes data by evaluating multiple signals across platforms, looking for repeated themes and corroborating mentions. If a topic appears across Reddit, YouTube, Tik Tok, and other sources, it is ranked higher, indicating a broader, cross-platform resonance and stronger sentiment than isolated posts.

Summary & Key Takeaways

• The video introduces an open source GitHub repo called last 30 days that enhances Claude Code search by aggregating multi-platform sentiment. It contrasts this with standard web search and shows how the capability captures grassroots discussions. The demo highlights a detailed, platform-by-platform breakdown.

• The narrator explains installation is a single line in Cloud Code, with optional API keys for some platforms, and shows how the tool compiles raw results into a readable report and an optional JSON export.

• The takeaway is that last 30 days yields deeper insights by harvesting comments and transcripts across Reddit, YouTube, TikTok, Instagram, and more, making Claude Code search more context-rich and actionable.