Kessoku is a next-generation dependency injection framework for Go that enables parallel initialization of dependencies. It benefits developers by simplifying complex dependency management in large-scale applications. It integrates with Go projects to streamline initialization workflows and improve performance.
git clone https://github.com/mazrean/kessoku.gitKessoku is a next-generation dependency injection framework for Go that enables parallel initialization of dependencies. It benefits developers by simplifying complex dependency management in large-scale applications. It integrates with Go projects to streamline initialization workflows and improve performance.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/mazrean/kessokuCopy 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.
Help me use Kessoku to automate a workflow in Go. I need to process [DATA] from [SOURCE] and inject it into [TARGET] with parallel dependencies. Provide a step-by-step guide with code snippets.
# Kessoku Automation Workflow for Data Processing
## Workflow Overview
- **Source**: CSV files from S3 bucket
- **Processing**: Data cleaning and transformation
- **Target**: PostgreSQL database
- **Dependencies**: Parallel processing of 5 CSV files
## Step-by-Step Guide
### 1. Set Up Kessoku
```go
import (
"github.com/tsenart/kessoku"
"github.com/tsenart/kessoku/parallel"
)
func main() {
// Initialize Kessoku
k := kessoku.New()
// ...
}
```
### 2. Define Data Processing Function
```go
func processData(data []byte) ([]byte, error) {
// Data cleaning and transformation logic
// ...
return transformedData, nil
}
```
### 3. Set Up Parallel Dependencies
```go
k.Go(parallel.New(5, func(ctx context.Context, i int) error {
// Process each CSV file in parallel
// ...
return nil
}))
```
### 4. Execute Workflow
```go
if err := k.Wait(); err != nil {
log.Fatal(err)
}
```
## Expected Output
- Cleaned and transformed data successfully injected into PostgreSQL
- Parallel processing completed in [TIME] seconds
- Error handling and logging implemented
Smart phone dialing for sales teams
IronCalc is a spreadsheet engine and ecosystem
Service Management That Turns Chaos Into Control
Customer feedback management made simple
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power