xiaozhi-plus
Low Risk控制小智智能设备（Xiaozhi）的 OpenClaw Skill。通过 REST API 向设备发送聊天消息、播放控制（音乐播放/暂停/上一曲/下一曲）、音量调节、亮度调节、主题切换、播放模式设置…
Editorial assessment
Where xiaozhi-plus fits
xiaozhi-plus is currently positioned as a ai skill for engineering teams running repository, CI, and issue workflows. Based on the available metadata, the core job to be done is straightforward: 控制小智智能设备（xiaozhi）的 openclaw skill。通过 rest api 向设备发送聊天消息、播放控制（音乐播放/暂停/上一曲/下一曲）、音量调节、亮度调节、主题切换、播放模式设置….
The current description adds a practical clue about how the skill behaves in the field: 控制小智智能设备（xiaozhi）的 openclaw skill。通过 rest api 向设备发送聊天消息、播放控制（音乐播放/暂停/上一曲/下一曲）、音量调节、亮度调节、主题切换、播放模式设置等指令。当用户提到"小智"、"xiaozhi"、控制智能设备、发送消息到设备、播放音乐、调节音量/亮度等时触发。 小智plus固件下载地址 https://gitee.com/wt512/xiaozhi plus firmware. Combined with a CLI-based install path, this makes xiaozhi-plus easier to evaluate than pages that only list a name and external link.
xiaozhi-plus can usually be trialed quickly, as long as the source and permissions still get reviewed. No explicit permission list is published in the current record, so verify the runtime surface in the source repository before rollout.
Best fit
engineering teams running repository, CI, and issue workflows
Install surface
skillhub install xiaozhi-plus
Source signal
Public source link available
Workflow tags
No structured tags are published yet.
Adoption posture
Install command documented
Risk review
Can usually be trialed quickly, as long as the source and permissions still get reviewed
Priority review
Why this skill deserves a closer look
xiaozhi-plus earns extra editorial attention because it already sits near the top of the skill library by usage or voting signal. For ClawList readers, that makes it a better candidate for deeper evaluation than a one-line listing or an untested community import.
Best for
Best for engineering teams running repository, CI, and issue workflows. This is the kind of skill worth reviewing when you are standardizing a workflow, not just experimenting in a throwaway session.
Last reviewed
April 3, 2026
Key caveats
Even strong community signals do not replace a source review. Check the install path, maintenance history, and permission surface before wider rollout.
Compatibility details are still thin on the current record, so capture your working runtime assumptions during the first implementation pass.
Compare xiaozhi-plus against adjacent options before standardizing it, because the highest-voted skill is not always the best fit for your exact repo, team, or automation surface.
Alternatives
Install Command
skillhub install xiaozhi-plusBest-fit workflows
Xiaozhi plus is best evaluated in ai environments where 控制小智智能设备（xiaozhi）的 openclaw skill。通过 rest api 向设备发送聊天消息、播放控制（音乐播放/暂停/上一曲/下一曲）、音量调节、亮度调节、主题切换、播放模式设置…
Shortlist it when you need a public, source linked skill that can be tested from a real install command instead of a mock integration
Use a disposable workspace for the first pass so you can confirm the install flow, repository quality, and downstream permissions before broader adoption
About
控制小智智能设备（Xiaozhi）的 OpenClaw Skill。通过 REST API 向设备发送聊天消息、播放控制（音乐播放/暂停/上一曲/下一曲）、音量调节、亮度调节、主题切换、播放模式设置等指令。当用户提到"小智"、"xiaozhi"、控制智能设备、发送消息到设备、播放音乐、调节音量/亮度等时触发。 小智plus固件下载地址 https://gitee.com/wt512/xiaozhi-plus-firmware
Rollout checklist
Review the source repository at https://clawhub.ai/user_6f4b74ac/xiaozhi-plus and confirm the README, maintenance activity, and install notes are still current.
Run `skillhub install xiaozhi-plus` in a disposable environment first so you can confirm package resolution, dependencies, and rollback steps.
Capture the permissions and runtime surface during the first install, because the current record does not yet publish a detailed permission map.
Decide whether xiaozhi-plus belongs in a production workflow, an internal ops stack, or a one-off experiment before wider rollout.
FAQ
What does xiaozhi-plus help with?
xiaozhi-plus is positioned as a ai skill. Based on the current summary and tags, it is most relevant for engineering teams running repository, CI, and issue workflows, especially when the workflow requires 控制小智智能设备（xiaozhi）的 openclaw skill。通过 rest api 向设备发送聊天消息、播放控制（音乐播放/暂停/上一曲/下一曲）、音量调节、亮度调节、主题切换、播放模式设置….
How should I evaluate xiaozhi-plus before using it in production?
Start by running skillhub install xiaozhi-plus in a disposable environment, then review the source repository, permission surface, and any workflow-specific dependencies before wider rollout.
Why does this page include editorial guidance instead of only the upstream docs?
ClawList is trying to make each skill page more useful than a bare directory listing. That means surfacing practical signals like the install surface, source link, permissions, workflow fit, and rollout considerations in one place.
Who is the best first user for xiaozhi-plus?
The best first evaluator is usually the operator or engineer already responsible for ai workflows, because they can verify whether xiaozhi-plus matches the current stack, risk tolerance, and maintenance expectations.
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