Can I preview the execution before it starts writing code?

Yes, by using the --dry-run flag, you can view the execution batches, dependency logic, and task summary without deploying any subagents.

How does it handle tasks that depend on each other?

The skill parses a dependency graph and ensures that tasks are only executed once all of their prerequisites have been successfully completed by a previous agent batch.

What is the Parallel Plan Executor?

It is a Claude Code skill that automates the execution of multi-task coding plans by deploying agents in parallel batches based on task dependencies.

Does it support monorepo structures?

Yes, it includes built-in monorepo awareness and can be configured via a .plans-config file to resolve plan directories at the root or package level.

Do I need other skills for this to work?

Yes, this is Step 3 of a specific workflow. It requires a planning document previously generated by the 'parallel-plan' skill.

Parallel Plan Executor

Name: Parallel Plan Executor
Author: yandy-r

byyandy-r

0•

생산성 및 워크플로

Orchestrates the parallel execution of complex implementation plans by deploying autonomous subagents in dependency-resolved batches.

The Parallel Plan Executor is the final stage of a specialized planning workflow designed to transform high-level architectural plans into working code. By parsing dependency graphs from a parallel-plan document, this skill organizes implementation tasks into logical batches and deploys multiple 'implementor' subagents simultaneously. It manages the entire lifecycle of a feature rollout—from prerequisite validation and dependency resolution to batch execution and final verification—ensuring that complex, multi-file changes are implemented efficiently without violating architectural constraints.

주요 기능

01Dry-run mode for execution logic verification

02Comprehensive monorepo and multi-package support

03Parallel batch execution of implementor subagents

04Dependency-aware task orchestration

050 GitHub stars

06Automated progress tracking via dynamic todo lists

사용 사례

01Executing multi-file feature implementations with complex internal dependencies

02Automating the synchronized rollout of new architectural patterns

03Accelerating large-scale refactoring projects across modular codebases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yandy-r/claude-plugins implement-plan

For use in Claude.ai and ChatGPT

주요 기능

01Dry-run mode for execution logic verification

02Comprehensive monorepo and multi-package support

03Parallel batch execution of implementor subagents

04Dependency-aware task orchestration

050 GitHub stars

06Automated progress tracking via dynamic todo lists

사용 사례

01Executing multi-file feature implementations with complex internal dependencies

02Automating the synchronized rollout of new architectural patterns

03Accelerating large-scale refactoring projects across modular codebases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yandy-r/claude-plugins implement-plan

For use in Claude.ai and ChatGPT