Dennis

[Dennis @andrea_89757]

Claude Code 跑得乱，很多时候不是它不会写代码，是你项目里的规则、工具、自动化入口都没喂给它。
安装命令：
/plugin install claude-code-setup@claude-plugins-official

[Dennis @andrea_89757]

很多人可能一直在裸奔用 Claude Code。
Anthropic 这个官方插件 claude-code-setup，有点像给 Claude Code 做一次项目体检：扫完代码库之后，直接推荐 hooks、skills、MCP servers、subagents、automations，然后带你一步步配好。
这东西不花哨，但很实用

[Suryansh Tiwari @Suryanshti777]

Claude Code feels completely different once you install this.

Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment.

It scans your project and recommends:

→ hooks
→ skills
→ MCP servers
→ subagents
→ automations

Then sets everything up step-by-step for you.

Most people are using Claude Code completely vanilla…

which is why their experience feels messy.

The real power comes from the ecosystem around it.

Install:

/plugin install claude-code-setup@claude-plugins-official

Bookmark this before you forget it.

[Dennis @andrea_89757]

这篇有点意思，一个 RL 训练出来的 7B 模型，负责调度 GPT-5 Claude Sonnet 4 Gemini 2.5 Pro 这些更大的模型 拆任务、分配 worker、决定每个模型能看到哪些上下文。如果这条线走通，agent 产品里很多现在靠人手搓的 prompt 和 workflow，后面可能会变成可训练的东西。小模型当调度员，大模型当执行者

[BURKOV @burkov]

In this paper, a 7B language model trained with reinforcement learning learns to orchestrate larger frontier models like GPT-5, Claude Sonnet 4, and Gemini 2.5 Pro.

It does so by writing natural-language subtasks, assigning each to one of the workers, and specifying which previous outputs that worker sees in context.

The resulting system outperforms every individual frontier model on benchmarks including GPQA Diamond, LiveCodeBench, and AIME25, while averaging about three model calls per question—fewer than the multi-agent pipelines and self-reflection loops it beats.

The work provides evidence that prompt engineering and pipeline design, currently done by hand in commercial AI products, can be learned end-to-end through reward signals alone.

Read with an AI tutor: https://t.co/ihQP7Vj2Bv

PDF: https://t.co/m3ddV3s5xc

[Tencent Hy @TencentHunyuan]

👋Hi /haɪ/, we're the Tencent Hy /haɪ/ team🐧

Today, we open source Hy3 preview (295B A21B), a leading reasoning and agent model in its size, with great cost efficiency.

Give us feedback to help improve Hy3 official!

🤗 https://t.co/jc10JODXJ8
📖 https://t.co/VIRoNnwng0

[Dennis @andrea_89757]

295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locallyUsing Hy3 to take command made the whole process way more streamlined

[Dennis @andrea_89757]

Testing AI controlling AI with Hy3 Preview I barely lifted a finger the whole time.

One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly

[Dennis @andrea_89757]

The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.

[Phoenix @kayleebuhoyt]

@manateelazycat 腾讯干到OpenClaw 赞助第一了

[Phoenix @kayleebuhoyt]

@Alfredxia @steipete Tencent has surged to #1 in OpenClaw’s sponsorship rankings!

[Emily Johnson @Lisa679371]

@kyeast 腾讯在OpenClaw赞助排名冲到第一了

[查拉图 @attarsinghsipf]

@PANews 腾讯在OpenClaw赞助排名冲到第一了

[Berenice Poleg @BerenicePo87693]

@PANews 腾讯赞助排openclaw第一了

[Elara 📚 @ElaraS89]

@Bitwux 腾讯赞助排openclaw 第一了

[陈需 @TooliePeach]

@bboczeng openclaw这边 腾讯赞助排第一了

[F @wei820416]

@dotey 腾讯在 OpenClaw 赞助排名冲到第一了

[Gabriel @elizabethh34474]

@NekoStranding 没想到腾讯openclaw赞助第一了

[Dennis @andrea_89757]

@LZRationalnvest 腾讯在OpenClaw赞助排名冲到第一了

[Dennis @andrea_89757]

@LZRationalnvest 腾讯在OpenClaw赞助排名冲到第一了

[Berenice Poleg @BerenicePo87693]

@NekoStranding SkillHub不是标了来源还在给上游贡献代码，跟别的镜像站有啥本质区别？