project-workflow-analysis-blueprint-generatorbởi github

Generates detailed implementation blueprints by analyzing project architecture, technology stacks, and workflow patterns. Auto-detects project type, entry points, persistence mechanisms, and architecture patterns (.NET, Java/Spring, React, microservices, etc.) to tailor documentation Documents complete end-to-end workflows across entry points, service layers, data access, error handling, and response construction with actual code examples Configurable output detail levels, workflow count,...

npx skills add https://github.com/github/awesome-copilot --skill project-workflow-analysis-blueprint-generator

Project Workflow Documentation Generator

Configuration Variables

${PROJECT_TYPE="Auto-detect|.NET|Java|Spring|Node.js|Python|React|Angular|Microservices|Other"}
<!-- Primary technology stack -->

${ENTRY_POINT="API|GraphQL|Frontend|CLI|Message Consumer|Scheduled Job|Custom"}
<!-- Starting point for the flow -->

${PERSISTENCE_TYPE="Auto-detect|SQL Database|NoSQL Database|File System|External API|Message Queue|Cache|None"}
<!-- Data storage type -->

${ARCHITECTURE_PATTERN="Auto-detect|Layered|Clean|CQRS|Microservices|MVC|MVVM|Serverless|Event-Driven|Other"}
<!-- Primary architecture pattern -->

${WORKFLOW_COUNT=1-5}
<!-- Number of workflows to document -->

${DETAIL_LEVEL="Standard|Implementation-Ready"}
<!-- Level of implementation detail to include -->

${INCLUDE_SEQUENCE_DIAGRAM=true|false}
<!-- Generate sequence diagram -->

${INCLUDE_TEST_PATTERNS=true|false}
<!-- Include testing approach -->

Generated Prompt

"Analyze the codebase and document ${WORKFLOW_COUNT} representative end-to-end workflows 
that can serve as implementation templates for similar features. Use the following approach:

Initial Detection Phase

${PROJECT_TYPE == "Auto-detect" ? 
  "Begin by examining the codebase structure to identify technologies:
   - Check for .NET solutions/projects, Spring configurations, Node.js/Express files, etc.
   - Identify the primary programming language(s) and frameworks in use
   - Determine the architectural patterns based on folder structure and key components" 
  : "Focus on ${PROJECT_TYPE} patterns and conventions"}
${ENTRY_POINT == "Auto-detect" ? 
  "Identify typical entry points by looking for:
   - API controllers or route definitions
   - GraphQL resolvers
   - UI components that initiate network requests
   - Message handlers or event subscribers
   - Scheduled job definitions" 
  : "Focus on ${ENTRY_POINT} entry points"}
${PERSISTENCE_TYPE == "Auto-detect" ? 
  "Determine persistence mechanisms by examining:
   - Database context/connection configurations
   - Repository implementations
   - ORM mappings
   - External API clients
   - File system interactions" 
  : "Focus on ${PERSISTENCE_TYPE} interactions"}

Workflow Documentation Instructions

For each of the ${WORKFLOW_COUNT} most representative workflow(s) in the system:

1. Workflow Overview

  • Provide a name and brief description of the workflow
  • Explain the business purpose it serves
  • Identify the triggering action or event
  • List all files/classes involved in the complete workflow

2. Entry Point Implementation

API Entry Points:

${ENTRY_POINT == "API" || ENTRY_POINT == "Auto-detect" ? 
  "- Document the API controller class and method that receives the request
   - Show the complete method signature including attributes/annotations
   - Include the full request DTO/model class definition
   - Document validation attributes and custom validators
   - Show authentication/authorization attributes and checks" : ""}

GraphQL Entry Points:

${ENTRY_POINT == "GraphQL" || ENTRY_POINT == "Auto-detect" ? 
  "- Document the GraphQL resolver class and method
   - Show the complete schema definition for the query/mutation
   - Include input type definitions
   - Show resolver method implementation with parameter handling" : ""}

Frontend Entry Points:

${ENTRY_POINT == "Frontend" || ENTRY_POINT == "Auto-detect" ? 
  "- Document the component that initiates the API call
   - Show the event handler that triggers the request
   - Include the API client service method
   - Show state management code related to the request" : ""}

Message Consumer Entry Points:

${ENTRY_POINT == "Message Consumer" || ENTRY_POINT == "Auto-detect" ? 
  "- Document the message handler class and method
   - Show message subscription configuration
   - Include the complete message model definition
   - Show deserialization and validation logic" : ""}

3. Service Layer Implementation

  • Document each service class involved with their dependencies
  • Show the complete method signatures with parameters and return types
  • Include actual method implementations with key business logic
  • Document interface definitions where applicable
  • Show dependency injection registration patterns

CQRS Patterns:

${ARCHITECTURE_PATTERN == "CQRS" || ARCHITECTURE_PATTERN == "Auto-detect" ? 
  "- Include complete command/query handler implementations" : ""}

Clean Architecture Patterns:

${ARCHITECTURE_PATTERN == "Clean" || ARCHITECTURE_PATTERN == "Auto-detect" ? 
  "- Show use case/interactor implementations" : ""}

4. Data Mapping Patterns

  • Document DTO to domain model mapping code
  • Show object mapper configurations or manual mapping methods
  • Include validation logic during mapping
  • Document any domain events created during mapping

5. Data Access Implementation

  • Document repository interfaces and their implementations
  • Show complete method signatures with parameters and return types
  • Include actual query implementations
  • Document entity/model class definitions with all properties
  • Show transaction handling patterns

SQL Database Patterns:

${PERSISTENCE_TYPE == "SQL Database" || PERSISTENCE_TYPE == "Auto-detect" ? 
  "- Include ORM configurations, annotations, or Fluent API usage
   - Show actual SQL queries or ORM statements" : ""}

NoSQL Database Patterns:

${PERSISTENCE_TYPE == "NoSQL Database" || PERSISTENCE_TYPE == "Auto-detect" ? 
  "- Show document structure definitions
   - Include document query/update operations" : ""}

6. Response Construction

  • Document response DTO/model class definitions
  • Show mapping from domain/entity models to response models
  • Include status code selection logic
  • Document error response structure and generation

7. Error Handling Patterns

  • Document exception types used in the workflow
  • Show try/catch patterns at each layer
  • Include global exception handler configurations
  • Document error logging implementations
  • Show retry policies or circuit breaker patterns
  • Include compensating actions for failure scenarios

8. Asynchronous Processing Patterns

  • Document background job scheduling code
  • Show event publication implementations
  • Include message queue sending patterns
  • Document callback or webhook implementations
  • Show how async operations are tracked and monitored

Testing Approach (Optional):

${INCLUDE_TEST_PATTERNS ? 
  "9. **Testing Approach**
     - Document unit test implementations for each layer
     - Show mocking patterns and test fixture setup
     - Include integration test implementations
     - Document test data generation approaches
     - Show API/controller test implementations" : ""}

Sequence Diagram (Optional):

${INCLUDE_SEQUENCE_DIAGRAM ? 
  "10. **Sequence Diagram**
      - Generate a detailed sequence diagram showing all components
      - Include method calls with parameter types
      - Show return values between components
      - Document conditional flows and error paths" : ""}

11. Naming Conventions

Document consistent patterns for:

  • Controller naming (e.g., EntityNameController)
  • Service naming (e.g., EntityNameService)
  • Repository naming (e.g., IEntityNameRepository)
  • DTO naming (e.g., EntityNameRequest, EntityNameResponse)
  • Method naming patterns for CRUD operations
  • Variable naming conventions
  • File organization patterns

12. Implementation Templates

Provide reusable code templates for:

  • Creating a new API endpoint following the pattern
  • Implementing a new service method
  • Adding a new repository method
  • Creating new domain model classes
  • Implementing proper error handling

Technology-Specific Implementation Patterns

.NET Implementation Patterns (if detected):

${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" ? 
  "- Complete controller class with attributes, filters, and dependency injection
   - Service registration in Startup.cs or Program.cs
   - Entity Framework DbContext configuration
   - Repository implementation with EF Core or Dapper
   - AutoMapper profile configurations
   - Middleware implementations for cross-cutting concerns
   - Extension method patterns
   - Options pattern implementation for configuration
   - Logging implementation with ILogger
   - Authentication/authorization filter or policy implementations" : ""}

Spring Implementation Patterns (if detected):

${PROJECT_TYPE == "Java" || PROJECT_TYPE == "Spring" || PROJECT_TYPE == "Auto-detect" ? 
  "- Complete controller class with annotations and dependency injection
   - Service implementation with transaction boundaries
   - Repository interface and implementation
   - JPA entity definitions with relationships
   - DTO class implementations
   - Bean configuration and component scanning
   - Exception handler implementations
   - Custom validator implementations" : ""}

React Implementation Patterns (if detected):

${PROJECT_TYPE == "React" || PROJECT_TYPE == "Auto-detect" ? 
  "- Component structure with props and state
   - Hook implementation patterns (useState, useEffect, custom hooks)
   - API service implementation
   - State management patterns (Context, Redux)
   - Form handling implementations
   - Route configuration" : ""}

Implementation Guidelines

Based on the documented workflows, provide specific guidance for implementing new features:

1. Step-by-Step Implementation Process

  • Where to start when adding a similar feature
  • Order of implementation (e.g., model → repository → service → controller)
  • How to integrate with existing cross-cutting concerns

2. Common Pitfalls to Avoid

  • Identify error-prone areas in the current implementation
  • Note performance considerations
  • List common bugs or issues encountered

3. Extension Mechanisms

  • Document how to plug into existing extension points
  • Show how to add new behavior without modifying existing code
  • Explain configuration-driven feature patterns

Conclusion: Conclude with a summary of the most important patterns that should be followed when implementing new features to maintain consistency with the codebase."

Thêm skills từ github

console-rendering
by github
Instructions for using the struct tag-based console rendering system in Go
acquire-codebase-knowledge
by github
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document…
acreadiness-assess
by github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
acreadiness-generate-instructions
by github
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS…
acreadiness-policy
by github
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting…
add-educational-comments
by github
Add educational comments to code files to transform them into effective learning resources. Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced Automatically requests a file if none is provided, with numbered list matching for quick selection Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) Preserves file encoding, indentation style, syntax correctness, and...
adobe-illustrator-scripting
by github
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate…
agent-governance
by github
Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals Tool-level governance decorator enforces policies at function...

NotebookLM Web Importer

Nhập trang web và video YouTube vào NotebookLM chỉ với một cú nhấp. Được tin dùng bởi hơn 200.000 người dùng.

Cài đặt tiện ích Chrome