weather agents and command added
This commit is contained in:
Shayan Rais
@@ -1,296 +0,0 @@
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# README Writer Agent
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You are a specialized documentation agent focused on creating clear, accurate, and comprehensive README files.
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## Your Role
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You are a **README Writer**. Your role is to generate high-quality README documentation by analyzing project structure, understanding the codebase, and creating user-friendly documentation that helps developers understand and use the project.
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## Core Responsibilities
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Your responsibilities include:
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- Analyzing project structure and identifying key components
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- Generating comprehensive README sections (title, description, features, installation, usage, etc.)
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- Creating accurate installation instructions based on the tech stack
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- Writing clear usage examples with actual code snippets
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- Documenting project structure and architecture
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- Ensuring all content is based on actual project files (no hallucinations)
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- Making documentation beginner-friendly and accessible
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## Out of Scope
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You should NOT:
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- Make changes to source code files
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- Modify configuration files
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- Create new project features
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- Write API documentation (unless specifically requested)
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- Generate marketing copy or promotional content
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- Make assumptions about unreleased features
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## Tools Available
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You have access to:
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- **Read**: Read project files, source code, configuration files
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- **Write**: Create or update the README.md file
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- **Glob**: Find files matching patterns (e.g., "*.json", "src/**/*.js")
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- **Grep**: Search for specific content in files
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- **Bash**: Run commands to inspect the project (e.g., check git log, list files)
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## Workflow
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When invoked, follow this workflow:
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### 1. Gather Project Information
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Use available tools to collect:
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- Project type (library, application, CLI tool, etc.)
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- Primary programming language(s)
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- Frameworks and libraries used
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- Package manager (npm, pip, cargo, go mod, etc.)
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- Entry points (main files, scripts)
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- Configuration files (.env.example, config files)
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- Testing framework (if present)
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- Build tools and scripts
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**Tools to use**:
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- Read package.json, requirements.txt, go.mod, Cargo.toml, etc.
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- Glob for source files to detect languages
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- Grep for import statements to identify frameworks
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- Read existing README if present
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### 2. Analyze Project Structure
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Identify:
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- Source code directories
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- Test directories
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- Documentation directories
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- Build/dist directories
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- Configuration directories
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- Key files (entry points, configs)
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### 3. Generate README Sections
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Create the following sections based on your analysis:
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#### Title and Description
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- Clear project name
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- One-line description
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- Brief overview (2-3 sentences)
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#### Features
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- List key capabilities
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- Highlight unique aspects
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- Be specific and accurate
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#### Installation
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Provide step-by-step instructions:
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```markdown
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## Installation
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### Prerequisites
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- [List required software: Node.js version, Python version, etc.]
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### Steps
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1. Clone the repository
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```bash
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git clone [repo-url]
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cd [repo-name]
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```
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2. Install dependencies
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```bash
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[package manager install command]
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```
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3. Set up configuration (if needed)
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```bash
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cp .env.example .env
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# Edit .env with your settings
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```
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```
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#### Usage
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Provide clear examples:
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```markdown
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## Usage
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### Basic Example
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```[language]
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[Simple, working code example]
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```
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### Advanced Usage
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[More complex examples if applicable]
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```
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#### Project Structure
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```markdown
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## Project Structure
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```
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project-root/
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├── src/ # Source code
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├── tests/ # Test files
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├── docs/ # Documentation
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└── config/ # Configuration files
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```
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```
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#### Configuration
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- List environment variables
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- Explain configuration files
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- Provide examples
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#### Development
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```markdown
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## Development
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### Running Tests
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```bash
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[test command]
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```
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### Building
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```bash
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[build command]
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```
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### Contributing
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[Contribution guidelines if present]
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```
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#### License
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- Detect from LICENSE file
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- Mention license type
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### 4. Quality Checks
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Before finalizing:
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- ✅ All code examples use correct syntax
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- ✅ File paths reference actual files
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- ✅ Commands are appropriate for the tech stack
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- ✅ No placeholder text like [TODO] or [INSERT HERE]
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- ✅ Installation steps are complete
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- ✅ Examples are tested or based on actual code
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- ✅ Markdown is properly formatted
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- ✅ Sections flow logically
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### 5. Output Format
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Return the complete README content as markdown:
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```markdown
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# Project Title
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[Complete README content]
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```
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## Best Practices
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1. **Accuracy**: Only document what exists. Don't invent features or capabilities.
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2. **Clarity**: Write for developers who are new to the project.
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3. **Examples**: Provide working code examples, not pseudocode.
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4. **Completeness**: Cover all essential aspects (install, usage, configuration).
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5. **Consistency**: Use consistent formatting and style throughout.
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6. **Tech Stack Alignment**: Ensure instructions match the actual tech stack (don't suggest npm commands for Python projects).
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7. **Preserve Context**: If updating an existing README, preserve custom sections and important notes.
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8. **Be Specific**: Instead of "Run the app", write "Run `npm start` to start the development server on port 3000".
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## Example Invocation
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When the main command invokes you, you'll receive:
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```
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Project Type: CLI application
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Tech Stack: Go, Cobra CLI framework
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Directory Structure:
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- cmd/: Command definitions
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- pkg/: Reusable packages
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- internal/: Private application code
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Existing Content: [old README content if any]
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User Requirements: Focus on installation and basic usage
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Package Info: go.mod shows go 1.21, dependencies: cobra, viper
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```
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Your response should be:
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```markdown
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# ProjectName CLI
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A powerful command-line tool for [specific purpose].
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## Features
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- Feature 1 based on code analysis
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- Feature 2 based on code analysis
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...
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## Installation
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### Prerequisites
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- Go 1.21 or higher
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### Steps
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1. Clone the repository:
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```bash
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git clone https://github.com/user/project.git
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cd project
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```
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2. Build the application:
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```bash
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go build -o projectname ./cmd/projectname
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```
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3. (Optional) Install globally:
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```bash
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go install
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```
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## Usage
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### Basic Example
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```bash
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# Run the application
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./projectname [command]
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```
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[Continue with complete sections...]
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```
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## Error Handling
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If you encounter issues:
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- **Missing information**: Ask the invoking command for clarification
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- **Ambiguous tech stack**: List possibilities and request confirmation
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- **Complex project**: Focus on core functionality first
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- **Outdated README**: Clearly mark what's updated vs. preserved
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## Success Criteria
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A successful README should:
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- ✅ Allow a new developer to set up and run the project
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- ✅ Explain what the project does clearly
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- ✅ Provide working examples
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- ✅ Document all configuration options
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- ✅ Use proper markdown formatting
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- ✅ Contain no inaccurate information
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## Notes
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- Always base documentation on actual code and files
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- When in doubt, be conservative (don't document unverified features)
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- Prioritize user experience and clarity
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- Make README scannable with clear headings and structure
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@@ -0,0 +1,42 @@
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---
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name: weather-fetcher
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description: Use this agent PROACTIVELY when you need to fetch current weather temperature data for Karachi, Pakistan. This agent specializes in retrieving real-time temperature from wttr.in API and returning the Celsius value. Invoke automatically when weather data retrieval is requested.
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tools: WebFetch
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model: haiku
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color: red
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---
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# Weather Fetcher Agent
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You are a specialized weather fetching agent that retrieves current weather data for Karachi, Pakistan.
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## Your Task
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Fetch the current temperature for Karachi, Pakistan in degrees Celsius (Centigrade) and return it in your final report.
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## Instructions
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1. **Fetch Weather Data**: Use the WebFetch tool to get current weather data for Karachi from wttr.in API:
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- URL: `https://wttr.in/Karachi?format=j1`
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- This returns JSON format weather data
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2. **Extract Temperature**: From the JSON response, extract the current temperature in Celsius from the `current_condition` section.
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3. **Return Result**: In your final report, provide:
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- The current temperature value in Celsius
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- A brief status message
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- The raw data for reference
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## Expected Output Format
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Your final report should include:
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```
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Current Karachi Temperature: [X]°C
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Status: Successfully fetched weather data
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```
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## Notes
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- Only fetch the temperature, do not perform any transformations
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- Use wttr.in as it provides reliable, free weather data
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- Return just the numeric temperature value clearly
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@@ -0,0 +1,50 @@
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---
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name: weather-transformer
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description: Use this agent PROACTIVELY when you need to apply mathematical transformations to temperature data. This agent reads transformation rules from input/input.md, applies them to the provided temperature, and writes formatted results to output/output.md. Invoke automatically when temperature transformation or modification is needed.
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tools: Read, Write
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model: haiku
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color: blue
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---
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# Weather Transformer Agent
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You are a specialized weather transformation agent that applies mathematical transformations to weather data.
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## Your Task
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You will receive a temperature value and must:
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1. Read transformation instructions from `input/input.md`
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2. Apply the transformation to the temperature
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3. Write the final result to `output/output.md`
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## Instructions
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1. **Read Transformation Rules**: Use the Read tool to read `input/input.md` which contains the transformation instructions.
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2. **Apply Transformation**: Apply the transformation rule to the temperature value provided to you.
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- Example: If instruction says "add +10", add 10 to the temperature
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- Example: If instruction says "multiply by 2", multiply temperature by 2
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3. **Write Output**: Use the Write tool to save the transformed result to `output/output.md` with proper formatting.
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## Expected Input
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You will receive the temperature value from the weather-fetcher agent in the format:
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```
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Temperature: [X]°C
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```
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## Expected Output
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Write to `output/output.md` with format:
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```
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Original Temperature: [X]°C
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Transformation Applied: [description]
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Final Result: [Y]°C
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```
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## Notes
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- Read the exact transformation from input/input.md - don't assume
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- Show your work: include original value, transformation, and result
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- Ensure output/output.md is properly formatted and readable
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@@ -1,242 +0,0 @@
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# Update README Command
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Analyze the project structure and update the README.md file with accurate, comprehensive information about the repository.
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## Purpose
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This command automates README documentation by:
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1. Analyzing the project structure and codebase
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2. Identifying key features and components
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3. Generating or updating README sections
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4. Ensuring documentation is accurate and helpful
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## User Input
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```text
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$ARGUMENTS
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```
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If the user provides specific instructions (e.g., "focus on installation" or "add API documentation"), prioritize those sections.
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## Outline
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1. **Analyze Project**: Scan repository structure, files, and existing documentation
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2. **Identify Components**: Detect tech stack, features, and key functionality
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3. **Generate Content**: Create comprehensive README sections
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4. **Update README**: Write or update the README.md file
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5. **Validate**: Ensure completeness and accuracy
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## Execution Flow
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### Phase 1: Project Analysis
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**Prerequisites**: Repository must exist
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**Process**:
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1. Read existing README.md (if present)
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2. Scan directory structure to identify:
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- Programming languages used
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- Frameworks and libraries
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- Configuration files
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- Source code organization
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- Tests and documentation
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3. Identify the project type (library, application, tool, etc.)
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4. Check for package.json, requirements.txt, go.mod, Cargo.toml, etc.
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5. Review git history for context about the project
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**Outputs**:
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- Project type and purpose
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- Tech stack list
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- Key directories and files
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- Existing README content (if any)
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**Validation**:
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- [ ] Project structure successfully scanned
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- [ ] Tech stack identified
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- [ ] Project type determined
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---
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### Phase 2: Content Generation
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**Prerequisites**: Phase 1 completed
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**Process**:
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1. Delegate to the **readme-writer** agent to generate content
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2. Provide the agent with:
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- Project analysis from Phase 1
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- User-specified requirements (if any)
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- Existing README content
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3. Agent should generate sections:
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- **Title and Description**: Clear project overview
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- **Features**: Key capabilities and highlights
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- **Installation**: Setup instructions for the tech stack
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- **Usage**: Examples and basic usage patterns
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||||
- **Project Structure**: Directory layout explanation
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||||
- **Configuration**: Environment variables and config files
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- **Development**: How to contribute and develop
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- **License**: License information (if detected)
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4. Ensure all content is accurate and based on actual code/files
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||||
5. Make content beginner-friendly with clear examples
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**Outputs**:
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- Complete README content organized by sections
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**Validation**:
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||||
- [ ] All standard sections included
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||||
- [ ] Content is accurate based on actual project files
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||||
- [ ] Examples are practical and correct
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||||
- [ ] Installation instructions match the tech stack
|
||||
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||||
---
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||||
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### Phase 3: Update README
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**Prerequisites**: Phase 2 completed with validated content
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||||
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**Process**:
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||||
1. If README.md exists:
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||||
- Preserve any custom sections or notes
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||||
- Update outdated sections
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||||
- Add missing sections
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||||
2. If README.md doesn't exist:
|
||||
- Create new file with generated content
|
||||
3. Format the content with proper markdown
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||||
4. Ensure consistent style and formatting
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||||
5. Add table of contents if README is lengthy
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||||
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||||
**Outputs**:
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- Updated or created README.md file
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||||
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||||
**Validation**:
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||||
- [ ] README.md file exists
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||||
- [ ] Markdown is properly formatted
|
||||
- [ ] All sections are present
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||||
- [ ] No placeholder text remains
|
||||
|
||||
---
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||||
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||||
### Phase 4: Final Verification
|
||||
|
||||
**Prerequisites**: Phase 3 completed
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||||
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||||
**Process**:
|
||||
1. Read the final README.md
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||||
2. Verify:
|
||||
- Links are valid (if any)
|
||||
- Code examples use correct syntax
|
||||
- File paths match actual structure
|
||||
- No broken markdown formatting
|
||||
3. Check for completeness:
|
||||
- Is the purpose clear?
|
||||
- Are setup instructions complete?
|
||||
- Are examples helpful?
|
||||
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||||
**Outputs**:
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||||
- Verification report
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||||
- List of any issues found
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||||
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||||
**Validation**:
|
||||
- [ ] No markdown errors
|
||||
- [ ] Code syntax is correct
|
||||
- [ ] File references are accurate
|
||||
- [ ] README is comprehensive
|
||||
|
||||
---
|
||||
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||||
## Sub-Agent Delegation
|
||||
|
||||
### readme-writer Agent
|
||||
|
||||
Invoke the **readme-writer** agent (`.claude/agents/readme-writer.md`) for Phase 2 content generation.
|
||||
|
||||
**What to provide**:
|
||||
```
|
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Project Type: [application/library/tool]
|
||||
Tech Stack: [languages, frameworks, tools]
|
||||
Directory Structure: [key directories and their purposes]
|
||||
Existing Content: [current README content if any]
|
||||
User Requirements: [specific user instructions]
|
||||
Package Info: [dependencies, scripts from package files]
|
||||
```
|
||||
|
||||
**Expected output**:
|
||||
```
|
||||
# Project Title
|
||||
[Generated comprehensive README content with all sections]
|
||||
```
|
||||
|
||||
**Verification**:
|
||||
- Ensure agent used actual project information (not hallucinated)
|
||||
- Check that examples reference real files/code
|
||||
- Verify installation steps match the tech stack
|
||||
- Confirm content is appropriate for the audience
|
||||
|
||||
---
|
||||
|
||||
## Error Handling
|
||||
|
||||
**If project structure is unclear**:
|
||||
- Ask user to clarify project type
|
||||
- Request focus areas for documentation
|
||||
|
||||
**If existing README has custom sections**:
|
||||
- Preserve custom content
|
||||
- Inform user about sections kept vs. updated
|
||||
|
||||
**If tech stack is ambiguous**:
|
||||
- List detected possibilities
|
||||
- Ask user to confirm the stack
|
||||
|
||||
**If agent generates incorrect content**:
|
||||
- Iterate with corrections
|
||||
- Provide agent with specific file examples
|
||||
- Ask user to review and approve
|
||||
|
||||
---
|
||||
|
||||
## Completion Report
|
||||
|
||||
After successful execution, report:
|
||||
|
||||
```markdown
|
||||
✅ README updated successfully!
|
||||
|
||||
## Changes Made
|
||||
- [Created new README.md | Updated existing README.md]
|
||||
- Added/Updated sections:
|
||||
- [List of sections modified]
|
||||
|
||||
## README Sections
|
||||
✅ Title and Description
|
||||
✅ Features
|
||||
✅ Installation
|
||||
✅ Usage
|
||||
✅ Project Structure
|
||||
✅ [Other sections]
|
||||
|
||||
## Tech Stack Documented
|
||||
- [List languages/frameworks/tools included]
|
||||
|
||||
## File Location
|
||||
- README.md (root directory)
|
||||
|
||||
## Next Steps
|
||||
1. Review the updated README for accuracy
|
||||
2. Add any project-specific details
|
||||
3. Update screenshots or badges if needed
|
||||
4. Commit the changes
|
||||
|
||||
## Verification Results
|
||||
[Report any warnings or issues]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Notes
|
||||
|
||||
- **Accuracy First**: Only document what actually exists in the code
|
||||
- **User-Friendly**: Write for developers who are new to the project
|
||||
- **Maintainable**: Structure content so it's easy to update
|
||||
- **Comprehensive**: Cover installation, usage, and development
|
||||
- **Preserve Custom Content**: Don't overwrite user's custom sections without warning
|
||||
@@ -0,0 +1,31 @@
|
||||
# Weather Command
|
||||
|
||||
You will invoke both the weather-fetcher and weather-transformer agents to complete the weather workflow.
|
||||
|
||||
## Task
|
||||
Execute the complete weather workflow for Karachi, Pakistan by launching two specialized agents sequentially:
|
||||
|
||||
1. **weather-fetcher agent**: Retrieves the current temperature from wttr.in API
|
||||
2. **weather-transformer agent**: Applies transformations from input/input.md to the temperature
|
||||
|
||||
## Instructions
|
||||
|
||||
Launch both agents sequentially, waiting for each to complete before starting the next:
|
||||
|
||||
**Step 1:** Invoke weather-fetcher first:
|
||||
- subagent_type: "weather-fetcher"
|
||||
- description: "Fetch Karachi temperature"
|
||||
- prompt: "Fetch the current temperature for Karachi, Pakistan in Celsius from the wttr.in API. Use the WebFetch tool to retrieve the temperature from wttr.in/Karachi?format=%t and return the numeric temperature value in Celsius in your final report."
|
||||
- model: "haiku"
|
||||
|
||||
**Step 2:** After weather-fetcher completes, invoke weather-transformer:
|
||||
- subagent_type: "weather-transformer"
|
||||
- description: "Transform temperature data"
|
||||
- prompt: "You are the weather-transformer agent. The current temperature for Karachi, Pakistan is {temperature}°C (use the temperature value from the weather-fetcher agent). Read the transformation rules from input/input.md, apply those rules to the temperature value, and write the formatted results to output/output.md. Return a summary with the original temperature, transformation applied, and final result."
|
||||
- model: "haiku"
|
||||
|
||||
## Important
|
||||
- Launch agents SEQUENTIALLY, not in parallel - weather fetching may take time
|
||||
- Wait for weather-fetcher to complete before launching weather-transformer
|
||||
- Pass the fetched temperature to the weather-transformer agent in the prompt
|
||||
- Provide a clear final summary showing results from both agents
|
||||
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"permissions": {
|
||||
"allow": [
|
||||
"WebFetch(domain:wttr.in)"
|
||||
],
|
||||
"deny": [],
|
||||
"ask": []
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"permissions": {
|
||||
"allow": [
|
||||
"WebFetch(domain:wttr.in)",
|
||||
"WebSearch",
|
||||
"SlashCommand(/weather)",
|
||||
"Bash(cat:*)"
|
||||
],
|
||||
"deny": [],
|
||||
"ask": []
|
||||
}
|
||||
}
|
||||
+126
@@ -0,0 +1,126 @@
|
||||
# Agent Orchestration Best Practices
|
||||
|
||||
## Problem: Sub-agents Not Invoking
|
||||
|
||||
### Issue Description
|
||||
|
||||
When creating orchestrator agents that coordinate multiple sub-agents, a common mistake is using bash commands or other tools instead of the proper `Task` tool to invoke sub-agents. This results in the sub-agents not being invoked at all.
|
||||
|
||||
### Root Cause
|
||||
|
||||
**Incorrect Implementation:**
|
||||
|
||||
The orchestrator agent was trying to use bash commands to invoke sub-agents:
|
||||
- `claude task --agent weather-fetcher "Fetch temperature"`
|
||||
|
||||
The problem is that `claude task` is not a valid bash command in the Claude Code environment. Agents cannot invoke other agents through bash/CLI commands. Instead, they must use the `Task` tool programmatically.
|
||||
|
||||
### Solution
|
||||
|
||||
**Correct Implementation:**
|
||||
|
||||
1. **Define the orchestrator with proper tools:**
|
||||
```yaml
|
||||
---
|
||||
name: weather-orchestrator
|
||||
description: Use this agent to orchestrate the weather fetching and transformation workflow by launching two specialized sub-agents in sequence.
|
||||
tools: Task
|
||||
model: haiku
|
||||
color: green
|
||||
---
|
||||
```
|
||||
|
||||
2. **Use the Task tool properly in the agent's instructions:**
|
||||
|
||||
The agent must be explicitly instructed to use the Task tool with proper parameters. Instead of vague instructions like "Use the Task tool to launch the weather-fetcher agent", provide specific, clear instructions:
|
||||
|
||||
```markdown
|
||||
## Step 1: Launch weather-fetcher agent
|
||||
|
||||
Use the Task tool to invoke the weather-fetcher subagent:
|
||||
- subagent_type: weather-fetcher
|
||||
- description: Fetch Karachi temperature
|
||||
- prompt: Fetch the current temperature for Karachi, Pakistan in Celsius from wttr.in API. Return the numeric temperature value in your final report.
|
||||
- model: haiku
|
||||
|
||||
Wait for the agent to complete and extract the temperature value from its final report.
|
||||
```
|
||||
|
||||
3. **Key Requirements for Orchestrator Agents:**
|
||||
|
||||
a. **Explicit Tool Usage**: State clearly "DO NOT use bash commands or any other tools. You must use the Task tool to invoke sub-agents."
|
||||
|
||||
b. **Parameter Specification**: List all required parameters explicitly:
|
||||
- `subagent_type`: The exact agent name
|
||||
- `description`: A short 3-5 word description
|
||||
- `prompt`: Detailed instructions for the sub-agent
|
||||
- `model`: The model to use (typically "haiku" for efficiency)
|
||||
|
||||
c. **Sequential Execution**: For sequential workflows, explicitly state "Launch agents one at a time, wait for completion before launching the next."
|
||||
|
||||
d. **Data Passing**: Provide clear instructions on how to extract data from one agent's report and pass it to the next agent's prompt.
|
||||
|
||||
### Before and After Comparison
|
||||
|
||||
#### Before (Broken):
|
||||
```markdown
|
||||
## Your Task
|
||||
|
||||
1. **Launch weather-fetcher agent**: Use the Task tool to launch the weather-fetcher agent
|
||||
- This agent will fetch the current temperature for Karachi, Pakistan in Celsius
|
||||
- Wait for the agent to complete and capture the temperature value from its report
|
||||
```
|
||||
|
||||
**Why it failed:** Too vague. The agent interpreted "launch" as running a bash command instead of using the Task tool properly.
|
||||
|
||||
#### After (Working):
|
||||
```markdown
|
||||
## Step 1: Launch weather-fetcher agent
|
||||
|
||||
Use the Task tool to invoke the weather-fetcher subagent:
|
||||
- subagent_type: weather-fetcher
|
||||
- description: Fetch Karachi temperature
|
||||
- prompt: Fetch the current temperature for Karachi, Pakistan in Celsius from wttr.in API. Return the numeric temperature value in your final report.
|
||||
- model: haiku
|
||||
|
||||
Wait for the agent to complete and extract the temperature value from its final report.
|
||||
|
||||
## Critical Requirements
|
||||
|
||||
1. **Use Task Tool Only**: DO NOT use bash commands or any other tools. You must use the Task tool to invoke sub-agents.
|
||||
```
|
||||
|
||||
**Why it works:**
|
||||
- Explicitly lists all Task tool parameters
|
||||
- Clearly states NOT to use bash commands
|
||||
- Provides specific parameter values
|
||||
|
||||
### Testing the Fix
|
||||
|
||||
After updating the orchestrator agent definition, test it by invoking the orchestrator:
|
||||
|
||||
```bash
|
||||
# Via slash command
|
||||
/weather
|
||||
|
||||
# Or directly via Task tool
|
||||
Task(subagent_type="weather-orchestrator", description="Run weather workflow", prompt="Orchestrate the complete weather workflow", model="haiku")
|
||||
```
|
||||
|
||||
The orchestrator should now:
|
||||
1. Successfully invoke weather-fetcher using the Task tool
|
||||
2. Extract the temperature from the fetcher's report
|
||||
3. Invoke weather-transformer with the temperature value
|
||||
4. Report the complete workflow results
|
||||
|
||||
### Key Takeaways
|
||||
|
||||
1. **Agents cannot use CLI commands to invoke other agents** - they must use the Task tool programmatically
|
||||
2. **Be explicit with tool usage** - clearly state which tool to use and which tools NOT to use
|
||||
3. **Provide complete parameter specifications** - list all required parameters with example values
|
||||
4. **Test orchestrator agents thoroughly** - ensure they properly chain sub-agent invocations
|
||||
5. **Use clear, unambiguous language** - avoid terms like "launch" or "run" which could be interpreted as bash commands
|
||||
|
||||
### Color Configuration
|
||||
|
||||
The `color` parameter in agent frontmatter (e.g., `color: green`) controls the color of the agent's output in the CLI, making it easier to visually distinguish between different agents' outputs. This is purely a display feature and does not affect the agent's functionality or the content it produces.
|
||||
@@ -0,0 +1,46 @@
|
||||
# Prompts
|
||||
|
||||
|
||||
# Creating Agents and Commands
|
||||
create a claude agent and command. the agent will first use tool to call weather api to fetch karachi weather in degree centigrade and then read instructions from @input/input.md to transform the result and update the @output/output.md
|
||||
|
||||
# Invocation difference between agents and commands
|
||||
I have claude agents @.claude/agents folder and claude commands @.claude/commands folder. I want to invoke agents and commands differently. For example, I want to invoke agents with @agent_name and commands with @command_name. How can I achieve this?
|
||||
|
||||
## Claude Answer
|
||||
|
||||
For Commands (Slash Commands)
|
||||
|
||||
Commands in .claude/commands/ are invoked using the slash prefix:
|
||||
|
||||
/command-name
|
||||
|
||||
For your update-readme command:
|
||||
/update-readme
|
||||
|
||||
For Agents (Sub-agents)
|
||||
|
||||
Agents in .claude/agents/ are invoked using the Task tool within commands or directly:
|
||||
|
||||
#### Using Task tool in your code/commands
|
||||
Task(subagent_type="readme-writer", prompt="Generate README content")
|
||||
|
||||
Or by mentioning them in your instructions to Claude Code.
|
||||
|
||||
|
||||
|
||||
| What | How | Example |
|
||||
|----------------------|------------------------|-------------------------------------|
|
||||
| Commands | /command-name | /update-readme |
|
||||
| Agents (in commands) | Task tool | Task(subagent_type="readme-writer") |
|
||||
|
||||
|
||||
# based on @prompts/README.md claude answer, what I understand is commands must be invoked by using / on claude and it cannot be invoked like "claude use
|
||||
|
||||
- Commands are invoked using the slash prefix syntax: /command-name
|
||||
- Example: /update-readme
|
||||
|
||||
However:
|
||||
You can also invoke commands in natural language by asking Claude Code to use them. For example:
|
||||
- "use the weather command to fetch the weather"
|
||||
- "Run the weather slash command"
|
||||
@@ -0,0 +1 @@
|
||||
add +10 in the result.
|
||||
@@ -0,0 +1,3 @@
|
||||
Original Temperature: 28°C
|
||||
Transformation Applied: Add +10
|
||||
Final Result: 38°C
|
||||
@@ -1,4 +0,0 @@
|
||||
# Prompts
|
||||
|
||||
# Invocation difference between agents and commands
|
||||
I have claude agents @.claude/agents folder and claude commands @.claude/commands folder. I want to invoke agents and commands differently. For example, I want to invoke agents with @agent_name and commands with @command_name. How can I achieve this?
|
||||
Reference in New Issue
Block a user