parallel-execution

Parallelize independent tasks with single-message multi-task invocation and result aggregation.

Updated Aug 23, 2026

Search Tags:#concurrency #agents #parallel #coordination #execution #throughput

Ready to run

npx skills add https://github.com/d-oit/do-novelist-ai --skill parallel-execution-d-oit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-execution
Source: https://github.com/d-oit/do-novelist-ai/tree/main/.claude/skills/parallel-execution
Command: npx skills add https://github.com/d-oit/do-novelist-ai --skill parallel-execution-d-oit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables running multiple independent tasks at the same time to improve throughput and reduce total execution time, removing unnecessary waiting on sequential steps.

Core Features & Use Cases

Single-message coordination: invoke multiple Task tool calls in a single message.
Independent task support: each task runs without data dependencies on others.
Aggregation & validation: collect and verify results after completion.

Quick Start

Identify tasks that have no dependencies.
Issue a single message with multiple Task tool calls.
Aggregate and review results.

Frequently Asked Questions about parallel-execution

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

FAQPage Schema

How do I run multiple independent tasks at the same time to reduce execution time?▼

Parallel execution runs independent tasks concurrently in a single message by invoking multiple Task tool calls together, then aggregates results after completion. This eliminates sequential waiting and improves throughput when tasks have no data dependencies on each other.

When should I use parallel task execution instead of running tasks one after another?▼

Use parallel execution when you have multiple independent tasks with no data dependencies between them and agents are available for concurrent work. It's ideal for workloads where you need to aggregate results after all tasks complete and want to minimize total execution time.

Can I run tasks in parallel if some depend on results from other tasks?▼

Parallel execution requires independent tasks with no data dependencies. If tasks depend on each other's results, you must handle synchronization and result aggregation at collection points, or structure dependencies sequentially between parallel batches.

How do I handle failures when running tasks in parallel?▼

Parallel execution isolates failures so individual task failures don't block other concurrent tasks. Collect and validate all results after completion to identify which tasks succeeded or failed, then decide how to handle failures in your result aggregation.

What's the best way to invoke multiple tasks together in a single message?▼

Issue a single message with multiple Task tool calls to trigger single-message coordination. This approach runs all tasks concurrently, balances workload across available agents, and applies an upper bound on parallelization to prevent resource exhaustion.