@shengkun_ye: WeChat and RedNote have the best AI writing right now. But you don't know Chinese. I built a skill so your agent can re…
Summary
Built a skill allowing AI agents to read Chinese social media (WeChat, RedNote) to leverage their AI writing capabilities by overcoming the language barrier.
View Cached Full Text
Cached at: 05/20/26, 10:29 AM
WeChat and RedNote have the best AI writing right now.
But you don’t know Chinese.
I built a skill so your agent can read the entire Chinese social internet.
Time to Chinamaxx your agent. https://t.co/pRr2nkCn5Q
Similar Articles
Tencent tests AI assistant in China's most popular app as it looks to catch up with rivals (3 minute read)
Tencent is testing an AI assistant called Xiaowei within its WeChat app in China, aiming to catch up with rivals in the AI market by leveraging its massive user base.
@AYi_AInotes: https://x.com/AYi_AInotes/status/2062774798166503872
The author open-sourced an AI content creation system based on the Helio platform, where multiple AI agents automatically take turns completing topic discovery, research, content rewriting, and distribution. The author only needs to make two decisions (select topics and finalize drafts), greatly improving content creation efficiency.
@Saccc_c: A few tips for beginners to quickly get started with AI: 1. Stop using conversational AI like ChatGPT and start using Agent tools that can autonomously execute tasks, such as Claude Code, Codex, Manus. 2. Write your own Skill, for example, structuring your work habits, preferences, …
Tips for AI beginners: Use Agent tools that can autonomously execute tasks (e.g., Claude Code, Codex, Manus), write a structured personal Skill description, and continuously accumulate context to refine effective prompts.
@axichuhai: https://x.com/axichuhai/status/2062146611472400461
Shares 8 curated AI skills, covering basic configuration, product development, and content creation, to boost AI productivity for agents such as Claude Code and CodeX.
@Xudong07452910: This SkillOpt paper is quite interesting—it actually addresses a very important point: AI agents in the future won't just rely on humans writing prompts; they can train their own 'job descriptions'. Currently, many skills/prompts are written one-off, and when real tasks pile up, various edge cases start to fail...
SkillOpt introduces a systematic controllable text-space optimizer that enables AI agents to train and improve their own skills (like 'work instructions') through iterative edits and validation, outperforming human-crafted and one-shot prompts across multiple benchmarks and models.