@炒股养猫 Thanks for your enthusiastic sharing, boss! 🔥
The "Longbridge Influencer / Blogger Public Activity Research Assistant" Skill has identified a real pain point—it's too easy to take things out of context by only looking at one or two posts.
For example, when you come across a treasure blogger and want to understand their train of thought over time, you often have to scroll back from the beginning, which takes a lot of time.
Your idea to use AI for efficiency is great 👍
If the main post and others' comments get mixed up during scraping, the entire meaning of the paragraph could be skewed—the Skill specifically organizes an evidence table, separating the "blogger's own main posts + replies" from "others' comments," effectively solving this problem, which shows great skill.
What's even more commendable is that you've set several highly safe core principles: only organizing public information, not equating public statements with actual transactions, and not constituting investment advice. We really appreciate this restraint 🙌
We warmly welcome you to communicate with us and even more so to organize and share it with the community for everyone to use~
You can put it on GitHub and then share the link with everyone. Looking forward to seeing it 👀
I created a Longbridge Influencer Public Dynamic Research Skill
I recently created a personal-use Skill: Longbridge Influencer / Blogger Public Activity Research Assistant. The problem it solves is simple: People in the community often ask, "What is this blogger's trading logic?" "At which specific prices did he mention taking delivery/exercising/selling puts?" "Is this the official account?" If you only look at one or two posts, it's easy to take things out of context. So I turned this process into a verifiable Skill...
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