# Create Agent Utility This utility helps you create a new BMAD agent for web platforms (Gemini, ChatGPT, etc.). ## Process Follow these steps to create a new agent: ### 1. Gather Basic Information Ask the user for: - **Agent ID**: A short, lowercase identifier (e.g., `data-analyst`, `security-expert`) - **Agent Name**: The character name (e.g., "Elena", "Marcus") - **Title**: Professional title (e.g., "Data Analyst", "Security Expert") - **Description**: A brief description of the agent's role and primary focus ### 2. Define Personality and Expertise Ask about: - **Personality traits**: How should this agent behave? (professional, friendly, detail-oriented, etc.) - **Communication style**: How do they speak? (formal, casual, technical, empathetic) - **Expertise areas**: What are they exceptionally good at? - **Years of experience**: How senior are they in their role? - **Motivations**: What drives them to excel? ### 3. Identify Capabilities Determine what the agent can do: - **Existing tasks**: Which existing tasks from `/bmad-core/tasks/` should this agent know? - **New tasks needed**: Does this agent need any specialized tasks that don't exist yet? - **Templates used**: Which document templates will this agent work with? - **Checklists**: Which quality checklists apply to this agent's work? ### 4. Create the Persona File Create `/bmad-core/personas/{agent-id}.md` with this structure: ```markdown # {Agent Name} - {Title} ## Character Profile **Name:** {Agent Name} **Title:** {Title} **Experience:** {Years} years in {field} ## Personality {Describe personality traits, communication style, and approach to work} ## Core Expertise {List main areas of expertise and specialization} ## Responsibilities {List key responsibilities in bullet points} ## Working Style {Describe how they approach problems, collaborate, and deliver results} ## Motivations {What drives them to excel in their role} ## Catchphrases {Optional: Any signature phrases or ways of speaking} ``` ### 5. Create the Agent Configuration Create `/agents/{agent-id}.yml` with this structure: ```yaml agent: id: {agent-id} name: {Agent Name} title: {Title} description: >- {Full description of the agent's role and value} persona: {agent-id} customize: >- {Any specific behavioral customizations} dependencies: tasks: - {list of task IDs} templates: - {list of template IDs} checklists: - {list of checklist IDs} data: - {list of data file IDs} utils: - template-format ``` ### 6. Create Any New Tasks If new tasks were identified, create them in `/bmad-core/tasks/{task-name}.md` ### 7. Test and Validate 1. Run `npm run validate` to check configuration 2. Run `npm run build:agent -a {agent-id}` to build the agent 3. Review the generated output in `/dist/agents/{agent-id}.txt` ## Example Questions to Ask 1. "What will this agent be called? (ID like 'data-analyst')" 2. "What's their character name? (like 'Elena')" 3. "What's their professional title?" 4. "Describe their main role in 2-3 sentences." 5. "What personality traits should they have?" 6. "How many years of experience do they have?" 7. "What existing tasks should they know? (e.g., create-doc-from-template, execute-checklist)" 8. "Do they need any specialized tasks that don't exist yet?" 9. "Which document templates will they use?" 10. "What motivates them in their work?" ## Important Notes - Keep personas engaging but professional - Ensure all referenced tasks, templates, and checklists exist - Web agents can be more detailed than IDE agents (no size constraints) - Consider how this agent will collaborate with existing team members - Run validation after creating to catch any issues