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Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts.
Passed 2 of 9 test cases with the skill, and 2 of 9 without it.
and 1 more in the full report
2 fixed4 passed either way15 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
When gathering web search results for recent Qwen 2.5 Coder benchmark reports, what default result count should be set in the search API call?
| Checked | Without skill | With skill |
|---|---|---|
| Sets `count=5` in the web_search API parameter. | Missed | Passed |
| Applies `freshness="pm"` to restrict results to the past month. | Missed | Passed |
The instructions your model reads when the skill loads.
Research any topic using recent (last 30 days) discussions from Reddit, X/Twitter, and the web. Returns synthesized insights and actionable prompts.
The AI world reinvents itself monthly. This skill keeps you current by researching what people are actually saying right now - not what worked six months ago.
What it does:
Best for:
Requirements:
bird CLI for X/Twitter (optional but recommended)When user asks for recent info on a topic, or uses "/last30days [topic]":
web_search(query="[topic]", freshness="pm", count=5)
pm = past monthpd (24h), pw (week)web_search(query="site:reddit.com [topic]", freshness="pm", count=5)
test cases passed, vs 2 / 9 without
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