Agentic workflows streamline AI-assisted coding by integrating Claude Code features. Developers benefit from rapid, context-aware coding with guardrails. Connects to Claude Code, Cursor, and Windsurf for efficient workflows.
git clone https://github.com/pwnk77/agentic-workflows.gitAgentic workflows streamlines AI-assisted development by creating specialized agents that remember project context across conversations and coordinate seamlessly through shared specifications. Rather than repeatedly explaining your codebase to AI, agents build cumulative knowledge of your architecture, patterns, and decisions. The system uses eight specialized agents—including backend, frontend, database, and integration explorers—that analyze different architectural layers and provide continuous security and performance review. Setup takes two minutes via Claude Code, and the integrated dashboard tracks specifications, implementation progress, and agent collaboration in real time.
Ask Claude Code to install specgen-mcp from the GitHub repository, and it will auto-configure the agents and commands. Use /architect to create specifications, /engineer to implement them, and /reviewer to conduct security and performance reviews. All agent coordination and project context is managed through persistent specification files.
Architecting complex features with multiple coordinated agents analyzing different layers
Implementing features while maintaining consistency with previous architectural decisions
Conducting security and performance reviews across specifications and generated code
Building large codebases without repeating codebase context to Claude in each conversation
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/pwnk77/agentic-workflowsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create an agentic workflow for [COMPANY] in the [INDUSTRY] sector. The workflow should automate [TASK] using [TOOLS]. Ensure the workflow includes error handling, progress tracking, and integration with [DATA] sources. Provide a step-by-step guide and any necessary code snippets.
# Agentic Workflow for Data Processing at TechCorp
## Overview
This workflow automates data processing for TechCorp, a tech company in the software industry. The workflow uses Python, Claude Code, and Cursor to streamline the data cleaning and analysis process.
## Workflow Steps
1. **Data Ingestion**: Automatically fetch data from [DATA SOURCE] using a Python script.
2. **Data Cleaning**: Use Claude Code to identify and clean data inconsistencies.
3. **Data Analysis**: Perform initial analysis using predefined Python scripts.
4. **Error Handling**: Implement error handling to manage data inconsistencies.
5. **Progress Tracking**: Use Cursor to track the progress of each step.
## Code Snippets
```python
# Example code snippet for data ingestion
import pandas as pd
data = pd.read_csv('[DATA SOURCE]')
```
## Expected Output
- Cleaned and analyzed data ready for further processing.
- Detailed logs of each step for troubleshooting.
- Automated alerts for any errors or inconsistencies.Browser tab organization with workspace sync
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