project-workflow-analysis-blueprint-generator
Agent workflowsgithub/awesome-copilotskills.sh ↗
Installs
9,370
deduplicated, at the last sync
Since we started
+0.2%
18 readings, about 3 hours apart. Not a live curve.
Our category
Agent workflows
ours
Last read
Sep 3, 2026
from the directory
Our brief
oursThis skill is a comprehensive, technology-agnostic prompt generator designed for documenting end-to-end application workflows. It automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints. These blueprints cover critical components of an application's lifecycle, including entry points, service layers, data access, error handling, and testing approaches across multiple technologies like .NET, Java/Spring, and React.
- Detailed workflow documentation blueprint
- Implementation templates for new features
- Configuration variables (e.g., PROJECT_TYPE, ENTRY_POINT)
- Codebase to analyze
not detected
The provided evidence does not contain explicit information regarding paid service requirements or pricing models for this skill.
not detected
The provided evidence does not contain explicit information regarding user registration requirements for this skill.
The skill cannot verify the correctness of actual business logic, nor can it guarantee that the codebase perfectly adheres to any specific architectural pattern. It also cannot determine performance bottlenecks or security vulnerabilities in a live environment.
Evidencestatic findingsskills/project-workflow-analysis-blueprint-generator/SKILL.md:1-294
[{"code":"payment","match":"subscription","path":"SKILL.md"}]---
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_LEVELRead 2 of 2 text files in the skill.
Installfrom the directory
npx skills add https://github.com/github/awesome-copilotInstalling happens there, not here. We are an index with an opinion, not a mirror.
What is inside itfrom the directory
1 files — names only. The directory does not report sizes.
What the auditors foundfrom the directory
A skill is instructions your agent will follow and scripts it may run, so who checked it matters as much as how many people installed it.
Installs, reading by readingours
Axis starts at 9.3k, not zero — the range is 9.3k to 9.4k.
Asked out loudspoken, not typed
The same skill in the words people use speaking to an assistant rather than typing into a box. Each one carries the situation it came from, and each answer says only what the skill's own files support.
The documentation does not specify any payment or subscription requirements for using the skill. It focuses on generating technical blueprints based on provided configurations.
It is designed to generate detailed blueprints for end-to-end application workflows. These cover various stages like entry points, service layers, data access patterns, and error handling across multiple technologies.
The skill generates a prompt that analyzes the codebase structure to identify various components. It can detect technology stacks, architectural patterns, and data flow based on the provided context.