How does Parallel Workflows determine which tasks can run together?

The skill evaluates file dependencies, data inputs/outputs, and execution order requirements to ensure tasks are completely independent before parallelizing them.

What happens if one of the parallel tasks fails?

It provides a detailed report showing which tasks succeeded and which failed. You are then given the option to retry only the failed tasks while keeping the successful outputs.

Will this skill attempt to edit the same file twice simultaneously?

No, the skill's safety logic prevents parallel execution for tasks that target the same file to avoid write conflicts and data corruption.

Is it useful for project analysis?

Yes, it is highly effective for project analysis, as it can dispatch multiple agents to scan different directories simultaneously, reducing the time to generate a project overview by up to 60%.

Parallel Workflows

Name: Parallel Workflows
Author: Chachamaru127

byChachamaru127

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Productivity & Workflow

Optimizes development speed by executing multiple independent tasks concurrently through intelligent dependency analysis.

About

Parallel Workflows is a performance-driven skill for Claude Code designed to maximize efficiency by identifying and running independent development tasks simultaneously. By analyzing file dependencies and task logic, it determines the safest path to parallelize activities such as code analysis, quality checks, and component generation. This skill transforms the standard sequential approach into a high-speed execution model, providing consolidated progress reports and intelligent error handling for a seamless multi-agent development experience.

Key Features

4 GitHub stars
Intelligent dependency detection to prevent file access conflicts
Multi-directory project analysis and structural auditing
Concurrent execution of linting, type-checking, and unit testing
Parallel generation of independent UI components and pages
Comprehensive consolidated reporting for all background tasks

Use Cases

Performing a deep analysis of multiple code modules at once for faster onboarding
Scaffolding multiple independent features or components in a single command
Running a full suite of quality checks simultaneously to speed up local CI/CD

About

Key Features

4 GitHub stars
Intelligent dependency detection to prevent file access conflicts
Multi-directory project analysis and structural auditing
Concurrent execution of linting, type-checking, and unit testing
Parallel generation of independent UI components and pages
Comprehensive consolidated reporting for all background tasks

Use Cases

Performing a deep analysis of multiple code modules at once for faster onboarding
Scaffolding multiple independent features or components in a single command
Running a full suite of quality checks simultaneously to speed up local CI/CD