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Last30days Research Agent Skill

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.

783 tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
104
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/sandbaseai/sandbase-skills --skill last30days-research

What comes with it

835 bytes besides the instruction
references/sandbase-api-map.md

The instruction itself

9 sections, as written by the author

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 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 events/milestones, sentiment trend, influencer involvement, and gaps/blind spots.

Example tasks

  • "What's happened with [topic] in the last 30 days across the internet?"
  • "Track [product launch] reception across all platforms over the past month."
  • "How has discussion about [company] evolved on Twitter and Reddit recently?"
  • "Find all significant mentions of [person] in the last 30 days."
  • "What's the recent trend around [technology]? Combine news, social, and community data."

How to use it

Copy the folder

Take sandbaseai/last30days-research from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.