parallel-agents

Parallel Agents - A Guide to Multi-Agent Orchestration and Collaboration

Skill Overview

The Parallel Agents skill lets you coordinate multiple domain-specific agents in parallel using Claude Code’s native agent tools. It enables multi-dimensional code analysis, full-stack development, and automated review.

Use Cases

1. Multi-Domain Analysis for Complex Projects

When your project spans multiple technical areas—such as needing to address security, performance, code quality, and test coverage—no single agent can cover all dimensions. Parallel Agents can simultaneously dispatch specialists such as security auditors, performance optimizers, and test engineers to provide recommendations from their respective expertise, and then consolidate everything into a comprehensive report.

2. Full-Stack Feature Development and Verification

Developing a new feature often requires coordination across frontend, backend, database, and testing. With this skill, you can identify the impacted areas in one pass, dispatch the corresponding agents to make the required changes, and have the test engineer verify all updates—ensuring the feature goes live complete and correct.

3. Automated Code Review Workflows

Tech leads or architects reviewing code need to evaluate it from multiple angles, including architecture, security, performance, and maintainability. Parallel Agents can simulate a team of experts, review the code in parallel, and organize improvement suggestions by priority—greatly improving both review efficiency and coverage.

Core Capabilities

1. Multi-Agent Orchestration and Dispatch

Supports various orchestration patterns such as a single agent call, sequential chained calls, parallel execution, and context passing. Includes 17 domain-focused agents (e.g., security audit, backend development, frontend components, database architecture, performance optimization, etc.), which can be flexibly combined based on task needs. Also supports resuming work from previously executed agents to ensure task continuity.

2. Standardized Synthesis Protocol

After all agents complete their tasks, a unified synthesis report is automatically generated. It includes a task summary, each agent’s contributions, tiered recommendations (Critical/Important/Nice-to-have), and an actionable checklist. This approach avoids confusion from multiple separate reports, helping developers quickly identify key issues and address them by priority.

3. Native Integration and Context Sharing

All agents run within the same session, naturally sharing context. Discoveries and conclusions from one agent can be automatically passed to subsequent agents, enabling true collaboration. It also works seamlessly with Claude Code’s built-in Explore (quick search), Plan (planning mode), and General-purpose (complex changes) agents.

FAQ

What are Parallel Agents, and how are they different from a regular programming assistant?

Parallel Agents is Claude Code’s multi-agent orchestration mode. It’s not simply about having AI answer questions—instead, like a project manager, it dispatches different domain-specific agents to work in parallel based on task requirements. A typical programming assistant usually analyzes from only one angle, while Parallel Agents can provide expert input across multiple dimensions—security, performance, architecture, testing—and then compile an actionable checklist at the end.

When should I use multi-agent orchestration, and when don’t I need it?

If your task involves multiple domain areas (e.g., a change that affects both frontend/backend and the database), or requires multi-angle analysis (e.g., you need both security and performance evaluation), or is complex enough to benefit from an expert team collaboration, then Parallel Agents are a good fit. Conversely, if you’re just fixing a small bug, adding a configuration item, or otherwise dealing with something a single relevant agent can handle, you don’t need multi-agent orchestration—just dispatch the appropriate specialist agent directly.

How can multiple agents share context and produce a unified report?

The advantage of Parallel Agents is that all agents run within the same session, naturally sharing context. When orchestrating agents, you only need to specify something like “continue based on the previous agent’s findings,” and subsequent agents will automatically receive the earlier conclusions. Finally, after all agents complete their work, use the Synthesis Protocol template to generate a unified report that includes a consolidated contributions summary from each agent, a tiered recommendations list, and pending action items—resulting in a complete analysis with clear structure and priorities.