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run-parallel-threads

Orchestrates concurrent subagent threads for independent research and exploration tasks.

Updated Apr 11, 2026
Search Tags:#parallel execution#subagents#agent orchestration#task decomposition#codebase exploration#concurrent research
One-click install
npx skills add https://github.com/gozonerd/shadow-ai-assessment --skill run-parallel-threads-gozonerd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: run-parallel-threads
Source: https://github.com/gozonerd/shadow-ai-assessment/tree/main/.claude/skills/run-parallel-threads
Command: npx skills add https://github.com/gozonerd/shadow-ai-assessment --skill run-parallel-threads-gozonerd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Sequential execution of independent tasks wastes time when multiple research or exploration jobs could run simultaneously. This Skill decomposes work into dependency layers and launches concurrent subagents to reduce total execution time. ## Core Features & Use Cases - Dependency Analysis: Maps subtasks into layered groups so only independent tasks run in parallel while dependent tasks wait for prior results. - Concurrent Agent Launch: Fires up to 3 Agent tool calls in a single message with self-contained prompts, since agents carry no parent conversation context. - Result Synthesis: Collects agent outputs, resolves conflicts, and merges findings into one unified response. - Use Case: When exploring a large codebase, launch one agent to map the frontend structure, another to trace API routes, and a third to review test coverage, then receive a single synthesized summary. ## Quick Start Ask the assistant to run these independent research tasks in parallel using subagents and synthesize the results.

Frequently Asked Questions about run-parallel-threads

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

FAQPage Schema
How do I run multiple tasks in parallel with AI subagents?▼

Decompose the work into independent subtasks, write a complete self-contained prompt for each, and launch all agents in a single message with multiple Agent tool calls. Limit each layer to 3 agents and synthesize their results afterward.

When should I use parallel agents instead of sequential execution?▼

Use parallel agents when two or more tasks have no dependency on each other's output, such as exploring different parts of a codebase or researching unrelated topics. If task B needs task A's result, run them sequentially instead.

What is the maximum number of parallel agents I should launch?▼

Launch at most 3 agents per layer. More agents dilute output quality and can overwhelm the context window when results return, so the skill prioritizes focused, single-area agent prompts over quantity.

Why do parallel agents need complete context in their prompts?▼

Subagents are stateless and receive no context from the parent conversation. Each prompt must include all file paths, repository names, search targets, and the expected result format, or the agent will produce incomplete or irrelevant output.

What happens if one parallel agent fails or returns incomplete results?▼

Note the failure and proceed with the results from the remaining agents. The synthesis step should flag gaps or conflicts between agent findings rather than blocking the entire workflow on one failed thread.

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