How to Build Equipment-Specific Content Libraries with OpenClaw
Build equipment-specific exercise content with OpenClaw and ToolRouter.
Tool
OpenClaw builds complete equipment-specific exercise libraries in a single batch run, making it suitable for fitness platforms pre-generating personalised exercise sets for every equipment category, reducing runtime latency when users set up their equipment profiles.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Workout Planner tool:
- Run: "Get exercises for every equipment category using workout-planner"
- OpenClaw returns complete exercise sets for all equipment types
- Pre-build equipment-specific exercise indexes for fast user-facing retrieval
- Refresh quarterly to include newly added exercises
Example Prompt
Try this with OpenClaw using the Workout Planner tool
Get all exercises categorised by equipment type using workout-planner and return as a JSON object with equipment type as keys and exercise arrays as values.
Tips
- Pre-generate all equipment-specific exercise sets to serve personalised content without runtime API calls
- Build combination sets for common home gym configurations (dumbbells + bands, barbell + bench)
- Use this as the data layer for a "what can I do with X equipment?" feature in your app