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parallel-execution

Orchestrate multi-project task execution using dependency DAGs and worker pools.

Updated Aug 23, 2026
Search Tags:#task management#workflow orchestration#parallel execution#dependency graph#agent execution#concurrency control
One-click install
npx skills add https://github.com/helpful-bits/plantocode --skill parallel-execution-helpful-bits
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-execution
Source: https://github.com/helpful-bits/plantocode/tree/main/.agents/skills/parallel-execution
Command: npx skills add https://github.com/helpful-bits/plantocode --skill parallel-execution-helpful-bits

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of efficiently managing and executing multiple, interdependent tasks across various projects simultaneously, ensuring optimal resource utilization and faster completion times.

Core Features & Use Cases

  • Dependency Graph Execution: Manages tasks defined as nodes in a Directed Acyclic Graph (DAG), dispatching dependency-free nodes immediately.
  • Worker Pools: Utilizes specialized worker pools (planning, coding, validation, research) for independent task execution.
  • Concurrency Controls: Implements global limits, per-project quotas, and per-task-type quotas to prevent resource starvation and ensure fair scheduling.
  • Prioritization & Preemption: Supports priority classes and preemption policies for critical tasks.
  • Failure Handling: Includes bounded retries, partial-failure management, and a fast-fail toggle.
  • Observability: Provides detailed dashboard counters and an event stream for real-time monitoring.
  • Subagent-First Policy: Defaults to parallel codex exec subagents for implementation work, with specific guidelines for manual edits and subagent wave execution.

Quick Start

Execute the defined workflow using the parallel-execution skill, prioritizing critical tasks and managing concurrency quotas.

Frequently Asked Questions about parallel-execution

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage parallel task execution across multiple projects with dependencies?▼

You can manage parallel task execution across multiple projects by defining tasks as nodes in a dependency Directed Acyclic Graph (DAG). The system immediately dispatches dependency-free nodes to specialized worker pools while enforcing concurrency controls.

What is the best way to orchestrate agentic workflows without causing resource starvation?▼

Orchestrate agentic workflows and prevent resource starvation by applying global limits, per-project quotas, and per-task-type quotas. These concurrency controls ensure fair scheduling and optimal resource utilization across all dispatched tasks.

Can I set priority classes and preemption policies for critical tasks in a dependency graph?▼

Yes, you can set priority classes and preemption policies for critical tasks within the dependency graph. This allows high-priority tasks to interrupt or bypass lower-priority workloads, ensuring critical execution paths complete without delay.

How does failure handling work for concurrent multi-project workloads?▼

Failure handling for concurrent multi-project workloads includes bounded retries, partial-failure management, and a fast-fail toggle. These mechanisms prevent cascading errors and allow workflows to either isolate task failures or halt entirely based on configuration.

How do I execute implementation tasks in parallel using subagents?▼

Execute implementation tasks in parallel using a subagent-first policy that defaults to parallel `codex exec` subagents. This approach includes specific guidelines for managing manual edits and orchestrating subagent wave execution for complex workloads.

Does parallel workflow orchestration provide real-time observability for running tasks?▼

Parallel workflow orchestration provides real-time observability through detailed dashboard counters and an event stream. This allows you to monitor task prioritization, worker pool utilization, and overall workflow progress as it happens.

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