A comprehensive API wrapper for the TBS Training Platform that enables AI agents to manage medical simulations, training records, and interactive learning sessions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cms-tbs-training
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cms-tbs-training using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is TBS Training Platform AI Skill?
The TBS Training Platform skill is a sophisticated integration layer designed for AI agents to interact with professional medical training environments. It provides a robust set of 13 functional modules, ranging from homepage data aggregation and drug scenario queries to interactive GPTS-driven simulations. By utilizing Openclaw Skills, developers can empower their agents to handle complex training workflows, including PPT presentations and real-time dialogue flow visualizations.
This skill is built with a focus on modularity and security, requiring the cms-auth-skills dependency for all authenticated operations. It ensures high-fidelity interaction with the TBS ecosystem by mandating the use of specific Python scripts for all API calls, maintaining strict data integrity and protocol adherence across both test and production environments.
TBS Training Platform AI Skill Use Cases
- Tracking weekly training statistics and summarizing learning task progress.
- Querying drug-specific scenarios and professional medical titles for tailored training.
- Managing and recording PPT presentations within a medical simulation context.
- Initiating and managing AI-driven GPTS sessions with real-time feedback and token management.
- Recovering and analyzing training records with full dialogue backtracing and visualization.
How TBS Training Platform AI Skill Works
- The agent first verifies the installation of the cms-auth-skills dependency to ensure secure access via tokens or app keys.
- Upon receiving a user request, the agent identifies the specific intent and routes it to the corresponding module index (e.g., drug, training, or gpts).
- The agent loads the module-specific OpenAPI documentation to validate required parameters like sceneId or date ranges.
- All interactions are conducted through specialized Python scripts located in the scripts directory, ensuring no direct, unscripted API calls are made.
- The skill implements a retry logic (3 attempts with 1-second intervals) to maintain high availability during network operations.
- The resulting data is processed and presented to the user as actionable summaries or direct results, optimized for agentic consumption within the Openclaw Skills framework.
TBS Training Platform AI Skill Setup
To get started with the TBS Training Platform skill, ensure your environment is properly configured:
# Install the mandatory authentication dependency
npx clawhub@latest install cms-auth-skills --force
# Install the TBS Training skill
npx clawhub@latest install cms-tbs-training
Ensure that your access tokens are correctly configured according to the conventions specified in the Openclaw Skills documentation.
TBS Training Platform AI Skill Data Schema & Taxonomy
The skill organizes data across several specialized taxonomies to ensure clarity and rapid retrieval:
| Module | Data Type | Key Metadata Fields |
|---|---|---|
| home | Aggregated Stats | weekly_stats, learning_tasks, product_scenes |
| drug | Scenario Data | sceneId, drugId, doctor_titles, hotwords |
| training | User Records | sessionId, record_detail, dialogue_history |
| gpts | AI Interaction | appId, sse_token, session_status |
| learning | Video Media | videoId, play_progress, duration |
| flow | Visualization | flow_detail, training_path |
TBS Training Platform AI Skill Advanced Features
- Server-Sent Events (SSE) support for real-time interactive AI dialogues.
- Automated file management allowing uploads directly via URL for training materials.
- Dynamic scene image resetting to maintain clean simulation environments.
- Granular dialogue flow visualization for auditing and optimizing AI training paths.
- Built-in multi-agent support via the Openclaw Skills protocol for distributed training tasks.
SKILL.md
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