Preface¶
In large health enterprises, content creation, design, official websites, and after-sales service often span multiple roles. It is difficult to align industry terminology and compliance boundaries using general writing skills. A common practice among teams is to maintain prompt fragments or tables individually. However, when tasks increase, reusability becomes difficult, and ensuring consistent output structures is challenging.
Below is an introduction to Health Ai Applications (@efficient-technology/health-ai-applications) on SkillHub. It decomposes work related to the “Big Health” sector into multiple layers, domains, and tasks. The official description states that each task is equipped with an automated execution structure (visible as “Domain Payload Generato…” in the page summary; complete fields should be based on the installed SKILL.md).
What is this¶
Health Ai Applications is an enterprise-oriented Skill published by Xiaoxiang Network (Efficient Technology) on SkillHub. The current page version is 1.0.3, located at @efficient-technology/health-ai-applications. The source of the crawled data is labeled as enterprise, categorized as professional, with the tag requires_api_key=false (can be used according to the Skill instructions without an additional API Key).
The official summary positions it as: An industry application Skill for “Big Health” enterprises, providing an automated execution solution of 5 layers, 9 domains, and 60 tasks, covering:
- Content Creation Layer: New media copy, image posters, brand promotion videos
- Design Application Layer: Packaging design, material design
- Digital Marketing Layer: Official website optimization
- Operations Management Layer: Business management, after-sales replies
- Education & Training Layer: Courseware design
SkillHub page statistics (at time of crawling): Rating 100000, Downloads 1290, Installs 0.
Core Functions¶
Combining the SkillHub page and the crawled introduction, the verifiable capability points are as follows.
Layered Task System¶
The Skill organizes common work in the “Big Health” sector using “5 layers, 9 domains, and 60 tasks” rather than a single long prompt. Each layer corresponds to the five business scenarios mentioned above, facilitating task selection based on roles or project stages.
Task-level Execution Structure¶
The official introduction states: Each task contains a structure related to the Domain Payload Generator (the SkillHub list page summary is truncated; the complete instructions can be viewed inside the Skill package after installation). In actual conversations, the Agent should be instructed to execute according to the steps and output requirements defined within the Skill, rather than inventing task numbers or compliance clauses.
Consistent with General Agent Skill Form¶
This Skill follows the common SKILL.md distribution method of SkillHub. It becomes effective after being fetched into the current Agent’s skills directory via the skillhub CLI or by asking the AI to follow the installation documentation.
Installation and Activation¶
Before installation, please confirm if the skillhub CLI exists on your machine; if not, follow the official installation documentation.
1. Install SkillHub CLI (if not installed)¶
command -v skillhub && skillhub --version
If not installed, you can use the official one-click script (full installation includes default Skills):
curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash
To install only the CLI:
curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash -s -- --cli-only
2. Install Health Ai Applications¶
The official page provides two methods, which are essentially the same: let the AI read the installation instructions and install the coordinate package, or execute the CLI locally.
Method A: Handover prompt to AI (Recommended by SkillHub page)
Please install `@efficient-technology/health-ai-applications` according to https://skillhub.cn/install/skillhub.md.
Method B: skillhub CLI
When installing, you must use --dir to point to the current Agent’s skills directory; otherwise, defaulting to ./skills/ might not be recognized:
skillhub install efficient-technology/health-ai-applications --dir <skills directory>
Common skills directories (from SkillHub installation documentation):
| Environment | skills Directory |
|---|---|
| Cursor | ~/.cursor/skills/ |
| Claude Code | ~/.claude/skills/ |
| Codex | ~/.codex/skills/ or .agents/skills/ under the project |
After installation is complete, restart or refresh the Agent according to your client’s requirements to load the new Skill.
Typical Usage¶
The official page does not provide a separate “Case Library” link. The typical usage is: Install Skill → Declare business scenario and task layer in conversation → Let Agent produce output according to task instructions in the Skill.
Reproducible starter example:
- Complete the installation in the previous section and confirm that
health-ai-applicationsappears in the skills directory. - Start a conversation in Cursor (or other clients with configured directories), for example:
I have installed @efficient-technology/health-ai-applications. We are a health supplement enterprise and need a new media copywriting task from the Content Creation layer: the product ingredient is Vitamin D3, and the target audience is middle-aged and elderly people. Please generate a draft according to the steps and output format of the corresponding task in this Skill, and mark the compliance points required by the Skill.
- If the task involves website optimization, after-sales replies, or courseware design, specify the layer and domain (Digital Marketing Layer / Operations Management Layer / Education & Training Layer) in the first message to reduce the chance of the Agent selecting the wrong task.
Search entry (optional):
skillhub search health-ai
Scenarios and Notes¶
Who is it for
- Teams in “Big Health,” health supplements, medical device marketing, etc., who need to break down copywriting, design briefs, website revamps, after-sales scripts, and training courseware into repeatable tasks.
- Those already working in environments supporting Skills (like Cursor, Claude Code, Codex) and willing to manage skill packages using SkillHub.
Limitations and Notes
- The page displays
contentZhAvailable: false. Detailed Chinese instructions may mainly be in theSKILL.mdinside the installation package; if the summary is truncated, the local Skill file prevails. - Advertising and promotion in the “Big Health” field are subject to regulatory constraints. If there are compliance fields within the Skill, they must be strictly enforced; do not treat model output as approved marketing materials or medical advice.
- The official install count of 0 only indicates the install count on the SkillHub side and does not mean it cannot be installed locally; rely on your local
skillhub installand whether the Agent recognizes it. - Capabilities not verified on the official page (such as “62 tasks” in some leads, detailed five-field component lists, questionnaire customization processes, etc.) are not included in this article to avoid conflict with the page’s “60 tasks” statement.
Conclusion¶
The value of Health Ai Applications lies in structuring common “Big Health” work with 5 layers, 9 domains, and 60 tasks, and hosting it on the SkillHub enterprise distribution platform, facilitating teams to switch between content, design, marketing, operations, and training scenarios within a single Skill.
- SkillHub Page: https://www.skillhub.cn/skills/efficient-technology/health-ai-applications
- API Coordinate Page: https://api.skillhub.cn/efficient-technology/health-ai-applications
- Installation Instructions: https://skillhub.cn/install/skillhub.md