Skillsmith is a discovery, recommendation, and learning system for Claude Code skills. It helps users find, install, and learn to use skills for their projects. It connects to Claude Code and integrates with TypeScript-based workflows.
git clone https://github.com/smith-horn/skillsmith.gitSkillsmith is a discovery, recommendation, and learning system for Claude Code skills. It helps users find, install, and learn to use skills for their projects. It connects to Claude Code and integrates with TypeScript-based workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/smith-horn/skillsmithCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as Skillsmith. I'm working on a project for [COMPANY] in the [INDUSTRY] sector. I need to find and learn about skills that can help with [SPECIFIC TASK]. Recommend 3-5 relevant skills, explain what they do, and provide a quick tutorial on how to use them in my TypeScript-based workflow.
# Skillsmith Recommendations for [COMPANY] in [INDUSTRY] Sector ## Recommended Skills 1. **DataCleaner**: A skill for cleaning and preprocessing datasets. - Input: Raw, messy data - Output: Clean, structured data ready for analysis - Use case: Preparing data for machine learning models 2. **APIAutomator**: A skill for automating API interactions. - Input: API endpoints and parameters - Output: Automated API calls and data retrieval - Use case: Integrating multiple APIs into your application 3. **CodeReviewer**: A skill for reviewing and improving code quality. - Input: Code snippets or files - Output: Code quality suggestions and improvements - Use case: Ensuring code quality and consistency ## Quick Tutorial: Using DataCleaner 1. **Installation**: Type `!install DataCleaner` in your Claude Code chat. 2. **Usage**: Share your raw data with the skill and ask it to clean it. 3. **Customization**: Specify any specific cleaning rules or requirements. 4. **Output**: The skill will return cleaned data ready for your analysis.
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