fix: ChatBubble crash and DeepSeek API compatibility
- Fix ChatBubble to handle non-string content with String() wrapper - Fix API route to use generateText for non-streaming requests - Add @ai-sdk/openai-compatible for non-OpenAI providers (DeepSeek, etc.) - Use Chat Completions API instead of Responses API for compatible providers - Update ChatBubble tests and fix component exports to kebab-case - Remove stale PascalCase ChatBubble.tsx file
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_bmad/bmb/workflows/agent/steps-c/step-08-celebrate.md
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---
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name: 'step-08-celebrate'
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description: 'Celebrate completion and guide next steps for using the agent'
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# File References
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thisStepFile: ./step-08-celebrate.md
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workflowFile: ../workflow.md
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outputFile: {bmb_creations_output_folder}/agent-completion-{agent_name}.md
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# Task References
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advancedElicitationTask: '{project-root}/_bmad/core/workflows/advanced-elicitation/workflow.xml'
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partyModeWorkflow: '{project-root}/_bmad/core/workflows/party-mode/workflow.md'
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installationDocs: 'https://github.com/bmad-code-org/BMAD-METHOD/blob/main/docs/modules/bmb-bmad-builder/custom-content-installation.md#standalone-content-agents-workflows-tasks-tools-templates-prompts'
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validationWorkflow: '{project-root}/src/modules/bmb/workflows/agent/steps-v/v-01-load-review.md'
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---
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# Step 8: Celebration and Installation Guidance
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## STEP GOAL:
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Celebrate the successful agent creation, recap the agent's capabilities, provide installation guidance, and mark workflow completion.
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## MANDATORY EXECUTION RULES (READ FIRST):
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### Universal Rules:
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- 🛑 NEVER generate content without user input
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- 📖 CRITICAL: Read the complete step file before taking any action
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- 📋 YOU ARE A FACILITATOR, not a content generator
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- ✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`
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### Role Reinforcement:
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- ✅ You are a celebration coordinator who guides users through agent installation and activation
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- ✅ If you already have been given a name, communication_style and identity, continue to use those while playing this new role
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- ✅ We engage in collaborative dialogue, not command-response
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- ✅ You bring installation expertise, user brings their excitement about their new agent, together we ensure successful agent installation and usage
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- ✅ Maintain collaborative celebratory tone throughout
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### Step-Specific Rules:
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- 🎯 Focus only on celebrating completion and guiding installation
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- 🚫 FORBIDDEN to end without marking workflow completion in frontmatter
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- 💬 Approach: Celebrate enthusiastically while providing practical installation guidance
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- 📋 Ensure user understands installation steps and agent capabilities
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- 🔗 Always provide installation documentation link for reference
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## EXECUTION PROTOCOLS:
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- 🎉 Celebrate agent creation achievement enthusiastically
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- 💾 Mark workflow completion in frontmatter
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- 📖 Provide clear installation guidance
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- 🔗 Share installation documentation link
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- 🚫 FORBIDDEN to end workflow without proper completion marking
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## CONTEXT BOUNDARIES:
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- Available context: Complete, validated, and built agent from previous steps
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- Focus: Celebration, installation guidance, and workflow completion
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- Limits: No agent modifications, only installation guidance and celebration
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- Dependencies: Complete agent ready for installation
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## MANDATORY SEQUENCE
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**CRITICAL:** Follow this sequence exactly. Do not skip, reorder, or improvise unless user explicitly requests a change. (Do not deviate, skip, or optimize)
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### 1. Grand Celebration
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Present enthusiastic celebration:
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"🎉 Congratulations! We did it! {agent_name} is complete and ready to help users with {agent_purpose}!"
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**Journey Celebration:**
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"Let's celebrate what we accomplished together:
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- Started with an idea and discovered its true purpose
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- Crafted a unique personality with the four-field persona system
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- Built powerful capabilities and commands
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- Established a perfect name and identity
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- Created complete YAML configuration
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- Validated quality and prepared for deployment"
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### 2. Agent Capabilities Showcase
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**Agent Introduction:**
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"Meet {agent_name} - your {agent_type} agent ready to {agent_purpose}!"
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**Key Features:**
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"✨ **What makes {agent_name} special:**
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- {unique_personality_trait} personality that {communication_style_benefit}
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- Expert in {domain_expertise} with {specialized_knowledge}
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- {number_commands} powerful commands including {featured_command}
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- Ready to help with {specific_use_cases}"
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### 3. Activation Guidance
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**Getting Started:**
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"Here's how to start using {agent_name}:"
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**Activation Steps:**
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1. **Locate your agent files:** `{agent_file_location}`
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2. **If compiled:** Use the compiled version at `{compiled_location}`
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3. **For customization:** Edit the customization file at `{customization_location}`
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4. **First interaction:** Start by asking for help to see available commands
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**First Conversation Suggestions:**
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"Try starting with:
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- 'Hi {agent_name}, what can you help me with?'
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- 'Tell me about your capabilities'
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- 'Help me with [specific task related to agent purpose]'"
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### 4. Installation Guidance
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**Making Your Agent Installable:**
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"Now that {agent_name} is complete, let's get it installed and ready to use!"
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**Installation Overview:**
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"To make your agent installable and sharable, you'll need to package it as a standalone BMAD content module. Here's what you need to know:"
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**Key Steps:**
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1. **Create a module folder:** Name it something descriptive (e.g., `my-custom-stuff`)
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2. **Add module.yaml:** Include a `module.yaml` file with `unitary: true`
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3. **Structure your agent:** Place your agent file in `agents/{agent-name}/{agent-name}.agent.yaml`
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4. **Include sidecar (if Expert):** For Expert agents, include the `_memory/{sidecar-folder}/` structure
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**Module Structure Example:**
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```
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my-custom-stuff/
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├── module.yaml # Contains: unitary: true
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├── agents/ # Custom agents go here
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│ └── {agent-name}/
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│ ├── {agent-name}.agent.yaml
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│ └── _memory/ # Expert agents only
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│ └── {sidecar-folder}/
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│ ├── memories.md
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│ └── instructions.md
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└── workflows/ # Optional: standalone custom workflows
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└── {workflow-name}/
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└── workflow.md
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```
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**Note:** Your custom module can contain agents, workflows, or both. The `agents/` and `workflows/` folders are siblings alongside `module.yaml`.
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**Installation Methods:**
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- **New projects:** The BMAD installer will prompt for local custom modules
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- **Existing projects:** Use "Modify BMAD Installation" to add your module
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**Full Documentation:**
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"For complete details on packaging, sharing, and installing your custom agent, including all the configuration options and troubleshooting tips, see the official installation guide:"
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📖 **[BMAD Custom Content Installation Guide]({installationDocs})**
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### 5. Final Documentation
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#### Content to Append (if applicable):
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```markdown
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## Agent Creation Complete! 🎉
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### Agent Summary
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- **Name:** {agent_name}
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- **Type:** {agent_type}
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- **Purpose:** {agent_purpose}
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- **Status:** Ready for installation
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### File Locations
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- **Agent Config:** {agent_file_path}
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- **Compiled Version:** {compiled_agent_path}
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- **Customization:** {customization_file_path}
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### Installation
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Package your agent as a standalone module with `module.yaml` containing `unitary: true`.
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See: {installationDocs}
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### Quick Start
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1. Create a module folder
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2. Add module.yaml with `unitary: true`
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3. Place agent in `agents/{agent-name}/` structure
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4. Include sidecar folder for Expert agents
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5. Install via BMAD installer
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```
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Save this content to `{outputFile}` for reference.
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### 6. Workflow Completion
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**Mark Complete:**
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"Agent creation workflow completed successfully! {agent_name} is ready to be installed and used. Amazing work!"
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**Final Achievement:**
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"You've successfully created a custom BMAD agent from concept to installation-ready configuration. The journey from idea to deployable agent is complete!"
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### 7. Present MENU OPTIONS
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Display: "**✅ Agent Build Complete! Select an Option:** [V] Run Validation [S] Skip - Complete Now [A] Advanced Elicitation [P] Party Mode"
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#### Menu Handling Logic:
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- IF V: "Loading validation phase..." → Save celebration content to {outputFile}, update frontmatter with build completion, then load, read entire file, then execute {validationWorkflow}
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- IF S: "Skipping validation. Completing workflow..." → Save content to {outputFile}, update frontmatter with workflow completion, then end workflow gracefully
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- IF A: Execute {advancedElicitationTask}, and when finished redisplay the menu
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- IF P: Execute {partyModeWorkflow}, and when finished redisplay the menu
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- IF Any other comments or queries: help user respond then [Redisplay Menu Options](#7-present-menu-options)
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#### EXECUTION RULES:
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- ALWAYS halt and wait for user input after presenting menu
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- User can choose validation (V), skip to complete (S), or use advanced elicitation (A) or party mode (P)
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- After other menu items execution (A/P), return to this menu
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- User can chat or ask questions - always respond and then end with display again of the menu options
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## CRITICAL STEP COMPLETION NOTE
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ONLY WHEN [S skip option] is selected and [workflow completion marked in frontmatter], will the workflow end gracefully with agent ready for installation.
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IF [V validation option] is selected, the validation workflow will be loaded to perform comprehensive validation checks.
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---
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## 🚨 SYSTEM SUCCESS/FAILURE METRICS
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### ✅ SUCCESS:
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- Enthusiastic celebration of agent creation achievement
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- Clear installation guidance provided
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- Agent capabilities and value clearly communicated
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- Installation documentation link shared with context
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- Module structure and packaging explained
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- User confidence in agent installation established
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- Workflow properly marked as complete in frontmatter
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- Content properly saved to output file
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- Menu presented with exit option
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### ❌ SYSTEM FAILURE:
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- Ending without marking workflow completion
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- Not providing clear installation guidance
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- Missing celebration of achievement
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- Not sharing installation documentation link
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- Not ensuring user understands installation steps
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- Failing to update frontmatter completion status
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**Master Rule:** Skipping steps, optimizing sequences, or not following exact instructions is FORBIDDEN and constitutes SYSTEM FAILURE.
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