last30days-research

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Research any topic across the last 30 days using Reddit, Twitter, YouTube, Hacker News, web search, and news sources through SandBase. Use when asked for recent trends, launch reactions, competitor activity, person/company profiles, or current event analysis.

AI & Automation 156 stars 12 forks Updated 3 days ago Apache-2.0

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Skill Content

# Last 30 Days Research Comprehensive recent-history research across multiple platforms through SandBase. Aggregate the last 30 days of activity on a topic from Reddit, Twitter, YouTube, news, and web search. Read [the API map](references/sandbase-api-map.md) before selecting a capability. ## Call SandBase capabilities For every selected tool, call `sandbase_describe_tool` first and use only arguments in its current input schema. Then call `sandbase_call_tool` with the exact `tool_name`. ## Operating principles - Cast a wide net: query at least 3-4 platforms for comprehensive coverage. - Weight recency — more recent signals are more relevant. - Note platform bias: Reddit skews technical, Twitter skews real-time, YouTube skews educational. - Cross-reference findings for confidence scoring. - Report timeline: when did mentions spike or change tone? ## Workflow ### 1. Web and news Use `tavily_search` with `days: 30` and `topic: "news"` for news coverage. Use `google_news_bulk_articles` for comprehensive news articles. Use `exa_search` with date filters for high-quality web sources. ### 2. Social platforms Use `twitter_web_search_timeline` for Twitter/X mentions and discussions. Use `reddit_app_dynamic_search` for Reddit discussions. Use `youtube_web_v2_general_search` for relevant YouTube content. ### 3. Synthesize timeline Cluster findings by week, identify spikes, track sentiment changes. ## Output Return: timeline of activity, platform-by-platform summary, key e...

Details

Author
sandbaseai
Repository
sandbaseai/sandbase-skills
Created
1 months ago
Last Updated
3 days ago
Language
Python
License
Apache-2.0

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