moai-workflow-templates
Manage and deploy enterprise-grade project templates and automated workflows.
Install
mkdir -p .claude/skills/moai-workflow-templates && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5636" && unzip -o skill.zip -d .claude/skills/moai-workflow-templates && rm skill.zipInstalls to .claude/skills/moai-workflow-templates
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Template management system for code boilerplates, feedback templates, scaffolding, and project optimization workflows. Use when creating templates, generating boilerplate files, or managing scaffolding.Key capabilities
- →Generate code boilerplates for FastAPI, React, Vue, and Next.js
- →Manage GitHub issue feedback templates for 6 issue types
- →Optimize project templates using smart merge algorithms
- →Perform backup discovery and restoration for project configurations
- →Track template versions and customization history
How it works
The system uses a directory hierarchy to store framework-specific templates and a JSON configuration file to manage variables and processing modes. It performs a three-way merge to apply updates while preserving user-defined customizations.
Inputs & outputs
When to use moai-workflow-templates
- →Setting up new project structure
- →Managing code boilerplates
- →Streamlining project feedback loops
About this skill
Enterprise Template Management
Unified template system combining code boilerplates, feedback templates, and project optimization workflows for rapid development and consistent patterns.
Quick Reference
Core Capabilities:
- Code template library for FastAPI, React, Vue, and Next.js
- GitHub issue feedback templates covering 6 types
- Project template optimization and smart merging
- Template version management and history
- Backup discovery and restoration
- Pattern reusability and customization
When to Use:
- Scaffolding new projects or features
- Creating GitHub issues with /moai:9-feedback
- Optimizing template structures after MoAI-ADK updates
- Restoring from project backups
- Managing template versions and customizations
- Generating boilerplate code
Key Features:
- Code Templates: FastAPI, React, Vue, Docker, and CI/CD templates
- Feedback Templates: 6 GitHub issue types including bug, feature, improvement, refactor, docs, and question
- Template Optimizer: Smart merge, backup restoration, and version tracking
- Pattern Library: Reusable patterns for common scenarios
Quick Access to Modules:
- Code Templates documentation in modules/code-templates.md
- Feedback Templates documentation in modules/feedback-templates.md
- Template Optimizer documentation in modules/template-optimizer.md
Implementation Guide
Features
- Project templates for common architectures
- Boilerplate code generation with best practices
- Configurable template variables and customization
- Multi-framework support including React, FastAPI, and Spring
- Integrated testing and CI/CD configurations
When to Use
- Bootstrapping new projects with proven architecture patterns
- Ensuring consistency across multiple projects in an organization
- Quickly prototyping new features with proper structure
- Onboarding new developers with standardized project layouts
- Generating microservices or modules following team conventions
Core Patterns
Pattern 1 - Template Structure:
Templates are organized in a directory hierarchy. The top-level templates directory contains framework-specific subdirectories. A backend framework directory such as fastapi-backend contains template.json for variables and a src directory with main.py, models subdirectory, and tests subdirectory. A frontend framework directory such as nextjs-frontend contains template.json, app directory, and components directory. A fullstack template contains separate backend and frontend subdirectories.
Pattern 2 - Template Variables:
Template variables are defined in a JSON configuration file with two main sections. The variables section defines key-value pairs such as PROJECT_NAME, AUTHOR, LICENSE, and PYTHON_VERSION. The files section maps file patterns to processing modes: files marked as substitute have variables replaced, while files marked as copy are transferred unchanged.
Pattern 3 - Template Generation:
The template generation process follows five steps. First, load the template directory structure. Second, substitute variables in files marked for substitution. Third, copy static files as-is. Fourth, run post-generation hooks such as dependency installation and git initialization. Fifth, validate the generated project structure.
Core Patterns in Detail
Pattern 1: Code Template Scaffolding
Concept: Rapidly scaffold projects with production-ready boilerplates.
To generate a project, load the appropriate template such as backend/fastapi. Configure the scaffold with the project name, desired features such as auth, database, and celery, and customizations such as database type. Execute the scaffold to create the project structure.
For complete library and examples, see the Code Templates module documentation.
Pattern 2: GitHub Feedback Templates
Concept: Structured templates for consistent GitHub issue creation.
Six Template Types: Bug Report, Feature Request, Improvement, Refactor, Documentation, and Question/Discussion.
Integration: Auto-triggered by the /moai:9-feedback command.
For all template types and usage, see the Feedback Templates module documentation.
Pattern 3: Template Optimization and Smart Merge
Concept: Intelligently merge template updates while preserving user customizations.
Smart Merge Algorithm: The three-way merge process works as follows. First, extract user customizations from the backup. Second, get the latest template defaults from the current templates. Third, merge with appropriate priority where template_structure uses the latest defaults, user_config preserves user settings, and custom_content retains user modifications.
For complete workflow and examples, see the Template Optimizer module documentation.
Pattern 4: Backup Discovery and Restoration
Concept: Automatic backup management with intelligent restoration.
Restoration Process: The process follows four steps. First, load backup metadata using the backup identifier. Second, validate backup integrity and raise an error if the backup is corrupted. Third, extract customizations from the validated backup. Fourth, apply the extracted customizations to the current project.
For complete implementation, see the Template Optimizer module section on Restoration Process.
Pattern 5: Template Version Management
Concept: Track template versions and maintain update history.
Version Tracking: The template_optimization configuration section stores last_optimized timestamp, backup_version identifier, template_version number, and customizations_preserved list containing items like language, team_settings, and domains.
For complete implementation, see the Template Optimizer module section on Version Tracking.
Module Reference
Core Modules
- Code Templates in modules/code-templates.md: Boilerplate library, scaffold patterns, and framework templates
- Feedback Templates in modules/feedback-templates.md: 6 GitHub issue types, usage examples, and best practices
- Template Optimizer in modules/template-optimizer.md: Smart merge algorithm, backup restoration, and version management
Module Contents
Code Templates include FastAPI REST API template, React component template, Docker and CI/CD templates, and template variables with scaffolding patterns.
Feedback Templates include Bug Report template, Feature Request template, Improvement template, Refactor template, Documentation template, Question template, and integration with /moai:9-feedback command.
Template Optimizer includes 6-phase optimization workflow, smart merge algorithm, backup discovery and restoration, and version tracking with history.
Advanced Documentation
For detailed patterns and implementation strategies, refer to the Code Templates Guide for complete template library, Feedback Templates for issue template reference, and Template Optimizer for optimization and merge strategies.
Best Practices
Core Requirements
- Use templates for consistent project structure
- Preserve user customizations during updates
- Create backups before major template changes
- Follow template structure conventions
- Document custom modifications
- Use smart merge for template updates
- Track template versions in config
- Test templates before production use
Quality Standards
[HARD] Document all template default modifications before applying changes. WHY: Template defaults serve as the baseline for all projects and undocumented changes create confusion and inconsistency across teams. IMPACT: Without documentation, teams cannot understand why defaults deviate from standards, leading to maintenance issues and conflicting implementations.
[HARD] Create backups before executing template optimization workflows. WHY: Template optimization involves structural changes that may be difficult to reverse without a clean restoration point. IMPACT: Missing backups can result in permanent loss of user customizations, requiring manual reconstruction of project-specific configurations.
[HARD] Resolve all merge conflicts during template update workflows. WHY: Unresolved conflicts create broken configurations that prevent proper template functionality. IMPACT: Ignored conflicts lead to runtime errors, inconsistent behavior, and project instability requiring emergency fixes.
[SOFT] Maintain consistent template pattern usage throughout the project. WHY: Mixing different template patterns creates cognitive overhead and makes the codebase harder to understand and maintain. IMPACT: Inconsistent patterns reduce code predictability and increase onboarding time for new team members.
[HARD] Preserve complete customization history across all template updates. WHY: Customization history provides an audit trail of project-specific decisions and enables rollback to previous states. IMPACT: Lost history makes it impossible to understand why changes were made, preventing informed decisions about future modifications.
[HARD] Validate template functionality through testing before production deployment. WHY: Untested templates may contain errors that only surface in production environments, causing system failures. IMPACT: Production failures from untested templates result in downtime, data issues, and emergency rollbacks affecting users.
[SOFT] Design templates within reasonable complexity limits for maintainability. WHY: Excessive template complexity makes them difficult to understand, modify, and debug when issues arise. IMPACT: Overly complex templates slow down development velocity and increase the likelihood of errors during customization.
[HARD] Track template versions using the built-in version management system. WHY: Version tracking enables understanding of template evolution, compatibility checking, and coordinated updates. IMPACT: Without version tracking, teams cannot determine which template features are available or coordinate updates across projects safely.
Works Well With
Agents:
- workflow-project: Project initialization
- core-planner: Template p
Content truncated.
When not to use it
- →When adding files directly to .claude/ or .moai/ without corresponding template sources
- →When using absolute paths in template files
- →When hardcoding language-specific paths in language-neutral templates
Limitations
- →Local overrides are non-portable and undocumented
- →Manual file copies diverge from the embedded template source
- →Template-first rule requires all changes to be made in internal/template/templates/
How it compares
Unlike manual scaffolding, this system automates the merging of template updates with existing user modifications using a version-tracked backup process.
Compared to similar skills
moai-workflow-templates side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| moai-workflow-templates (this skill) | 1 | 3mo | No flags | Intermediate |
| command-development | 16 | 9mo | Review | Intermediate |
| skill-forge | 11 | 9mo | Review | Intermediate |
| codex-skill | 12 | 5mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by modu-ai
View all by modu-ai →You might also like
command-development
anthropics
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
skill-forge
WilliamSaysX
Automated skill creation workshop with intelligent source detection, smart path management, and end-to-end workflow automation. This skill should be used when users want to create a new skill or convert external resources (GitHub repositories, online documentation, or local directories) into a skill. Automatically fetches, organizes, and packages skills with proactive cleanup management.
codex-skill
feiskyer
Use when user asks to leverage codex, gpt-5, or gpt-5.1 to implement something (usually implement a plan or feature designed by Claude). Provides non-interactive automation mode for hands-off task execution without approval prompts.
agent-factory
alirezarezvani
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
subagent-driven-development
davila7
Use when executing implementation plans with independent tasks in the current session
peekaboo
openclaw
Capture and automate macOS UI with the Peekaboo CLI.