Agent skill · Data & Analytics

project-workflow-analysis-blueprint-generator

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.

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill project-workflow-analysis-blueprint-generator --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/project-workflow-analysis-blueprint-generator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Configuration Variables
  2. Generated Prompt
  3. Initial Detection Phase
  4. Workflow Documentation Instructions
  5. Technology-Specific Implementation Patterns
  6. Implementation Guidelines
More from awesome-copilot
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About this skill
What does the project-workflow-analysis-blueprint-generator skill do?

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.

How do I install it?

Run `npx skills add github/awesome-copilot --skill project-workflow-analysis-blueprint-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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