Official agent skill

Project Workflow Analysis Blueprint Generator

by github in github/awesome-copilot

Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows.

OfficialMITAuto-check passedBackend & APIs

Install Project Workflow Analysis Blueprint Generator

skills CLI
$ npx skills add github/awesome-copilot --skill project-workflow-analysis-blueprint-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot project-workflow-analysis-blueprint-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/project-workflow-analysis-blueprint-generator .claude/skills/project-workflow-analysis-blueprint-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
project-workflow-analysis-blueprint-generator
GitHub stars
40k
Used in
1 other repo
Token cost
~2.7k tokens
SKILL.md length
493 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows.

  • Works in 12 steps: Workflow Overview → Entry Point Implementation → Service Layer Implementation → …
  • Tasks that involve Software architecture
  • SKILL.md covers Configuration Variables and Generated Prompt
  • Calls java and python

What it does

Project Workflow Analysis Blueprint Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Software architecture, Microservices and Error handling. It works with React, Java and .NET. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve Software architecture
  • Tasks that involve Microservices
  • Tasks that involve Error handling

Example prompts

  • “/project-workflow-analysis-blueprint-generator”

Requirements

  • Node.js

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Workflow Overview
  2. Entry Point Implementation
  3. Service Layer Implementation
  4. Data Mapping Patterns
  5. Data Access Implementation
  6. Response Construction
  7. Error Handling Patterns
  8. Asynchronous Processing Patterns
  9. Naming Conventions
  10. Implementation Templates
  11. Step-by-Step Implementation Process
  12. Common Pitfalls to Avoid

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • java
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Project Workflow Analysis Blueprint Generator loads about 2.7k tokens when it runs. Until then it costs about 119 tokens; SKILL.md has 493 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~119
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 493 words, ~2,719 tokens.

Download SKILL.mdSave it as .claude/skills/project-workflow-analysis-blueprint-generator/SKILL.md (or your agent's skills folder).
name
project-workflow-analysis-blueprint-generator
description
Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.

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" : ""}
Show full SKILL.md (200 more words)Show less
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."

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/project-workflow-analysis-blueprint-generator of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

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Works with

Questions about Project Workflow Analysis Blueprint Generator

What does Project Workflow Analysis Blueprint Generator do?

Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Project Workflow Analysis Blueprint Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows.

When should I use Project Workflow Analysis Blueprint Generator?

Project Workflow Analysis Blueprint Generator fits situations like: tasks that involve Software architecture; tasks that involve Microservices; tasks that involve Error handling.

How do I install Project Workflow Analysis Blueprint Generator in Claude Code?

Run `npx skills add github/awesome-copilot --skill project-workflow-analysis-blueprint-generator -a claude-code`. Or copy the skill folder (skills/project-workflow-analysis-blueprint-generator in github/awesome-copilot) into .claude/skills/project-workflow-analysis-blueprint-generator in your project. Claude Code loads it when a task matches its description.

How do I install Project Workflow Analysis Blueprint Generator in Codex?

Run `npx skills add github/awesome-copilot --skill project-workflow-analysis-blueprint-generator -a codex`. Or copy the skill folder (skills/project-workflow-analysis-blueprint-generator in github/awesome-copilot) into .agents/skills/project-workflow-analysis-blueprint-generator in your project. Codex loads it when a task matches its description.

Can I use Project Workflow Analysis Blueprint Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill project-workflow-analysis-blueprint-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/project-workflow-analysis-blueprint-generator, .gemini/skills/project-workflow-analysis-blueprint-generator, .github/skills/project-workflow-analysis-blueprint-generator and .opencode/skills/project-workflow-analysis-blueprint-generator in your project.

What does Project Workflow Analysis Blueprint Generator need to run?

Going by SKILL.md and its folder, Project Workflow Analysis Blueprint Generator needs the command-line tools its instructions call (java and python). Our summary lists: Node.js.

Does Project Workflow Analysis Blueprint Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Project Workflow Analysis Blueprint Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Project Workflow Analysis Blueprint Generator use?

Project Workflow Analysis Blueprint Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Project Workflow Analysis Blueprint Generator use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Project Workflow Analysis Blueprint Generator?

Skills that share tags, products or a category with Project Workflow Analysis Blueprint Generator: Evolutionary Modular Architecture (tech-leads-club/agent-skills, 7k stars), Akka.NET Best Practices (Aaronontheweb/dotnet-skills, 1.2k stars), Dt Obs Services (Dynatrace/dynatrace-for-ai, 161 stars) and Architecture (managedcode/dotnet-skills, 486 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Project Workflow Analysis Blueprint Generator?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.