Agent Capability Analysis
The workout-domain skill by alexanderop is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for install workout-domain, block-based workout model, TypeScript workout domain.
Ideal Agent Persona
Ideal for Fitness and Health Agents requiring structured workout sequence generation using discriminated unions via 'kind'.
Core Value
Empowers agents to create comprehensive workout plans using block-based models, including Strength, Timed, and Cardio blocks, with specific exercise details such as sets, reps, and weight, utilizing TypeScript for type safety and flexibility.
↓ Capabilities Granted for workout-domain
! Prerequisites & Limits
- Requires knowledge of TypeScript and discriminated unions
- Limited to workout domain and fitness applications
- User input required for weight and other exercise details
Browser Sandbox Environment
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workout-domain
Install workout-domain, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is workout-domain?
Ideal for Fitness and Health Agents requiring structured workout sequence generation using discriminated unions via 'kind'. workout-domain is a technical framework for creating block-based workout models, utilizing TypeScript and discriminated unions to define workout sequences.
How do I install workout-domain?
Run the command: npx killer-skills add alexanderop/workoutTracker/workout-domain. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for workout-domain?
Key use cases include: Generating customized workout sequences for personal training clients, Creating structured fitness plans with traditional sets and reps exercises, Automating workout block generation using discriminated unions via 'kind'.
Which IDEs are compatible with workout-domain?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for workout-domain?
Requires knowledge of TypeScript and discriminated unions. Limited to workout domain and fitness applications. User input required for weight and other exercise details.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add alexanderop/workoutTracker/workout-domain. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use workout-domain immediately in the current project.