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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.

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--- name: devkit-create-command description: Create a new slash command with AI-guided behavior definition args: <name> --to <target> [--template <type>] [--interactive --guidance "text"] --- # Create AIWG Command Create a new slash command with AI assistance to define arguments, behavior, and output. ## Usage ``` /devkit-create-command <name> --to <target> [options] ``` ## Arguments | Argument | Required | Description | |----------|----------|-------------| | name | Yes | Command name (kebab-case recommended) | ## Required Options | Option | Description | |--------|-------------| | --to | Target addon or framework | ## Optional Options | Option | Description | |--------|-------------| | --template | Command template: utility (default), transformation, orchestration | | --interactive | Enable interactive mode with guided questions | ## Templates ### utility (default) Simple operation, single action command. - Best for: Quick tasks, file operations, status checks - Example: `/lint-check`, `/deploy-status` ### transformation Content/code transformation pipeline with input/output handling. - Best for: Format conversion, code refactoring, content processing - Example: `/convert-format`, `/refactor-code` ### orchestration Multi-agent workflow coordination with phases and parallel execution. - Best for: Complex workflows, phase transitions, multi-step processes - Example: `/flow-deploy-to-production`, `/flow-security-review` ## Interactive Mode When `--interactive` is specified, I will ask: 1. **Purpose**: What does this command do? 2. **Arguments**: What inputs does it need? 3. **Options**: What configuration options should it support? 4. **Steps**: What are the execution steps? 5. **Output**: What should the output look like? ## Examples ```bash # Simple utility command /devkit-create-command lint-fix --to aiwg-utils # Transformation pipeline /devkit-create-command convert-docs --to sdlc-complete --template transformation # Orchestration workflow /devkit-create-command deploy-all --to sdlc-complete --template orchestration --interactive ``` ## Execution 1. **Validate inputs**: Check name and target 2. **Verify target exists**: Ensure addon/framework is installed 3. **Select template**: Use specified or default to utility 4. **Gather behavior**: In interactive mode, ask about command behavior 5. **Generate command file**: Create with frontmatter and sections 6. **Update manifest**: Add command to manifest.json 7. **Report success**: Show location and usage instructions ## Output Location ``` <target>/commands/<name>.md ``` ## Command File Structure ```markdown --- name: command-name description: Command description args: [arg1] [--option value --guidance "text"] --- # Command Title [Description] ## Usage [How to invoke] ## Arguments [Input parameters] ## Options [Configuration flags] ## Execution [Step-by-step behavior] ## Output [What to expect] ``` ## CLI Equivalent ```bash aiwg add-command <name> --to <target> --template <type> ``` ## Related Commands - `/devkit-create-agent` - Create an agent - `/devkit-create-skill` - Create an auto-triggered skill - `/devkit-validate` - Validate command structure