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Rally

Orchestrate multi-session parallel execution via the Claude Code Agent Teams API.

68|14|Updated Jan 7, 2026
Search Tags:#collaboration#task management#concurrency#orchestration#parallelism#agent teams
One-click install
npx skills add https://github.com/simota/agent-skills --skill rally
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Rally
Source: https://github.com/simota/agent-skills/tree/main/rally
Command: npx skills add https://github.com/simota/agent-skills --skill rally

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex tasks by enabling multiple AI agents to work concurrently, significantly reducing project completion time and improving efficiency.

Core Features & Use Cases

  • Multi-Session Orchestration: Manages multiple Claude Code instances simultaneously for parallel task execution.
  • Task Distribution & Aggregation: Distributes independent tasks across parallel sessions and collects results.
  • Conflict Resolution: Detects and resolves file conflicts arising from concurrent edits.
  • Use Case: When developing a new feature that involves both frontend UI changes and backend API development, Rally can assign one agent to the UI and another to the API, allowing them to work in parallel and merge their contributions efficiently.

Quick Start

Use the Rally skill to execute the two independent implementation tasks in parallel.

Frequently Asked Questions about Rally

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

FAQPage Schema
How do I run parallel tasks in Claude Code to speed up feature development?▼

Parallel task execution in Claude Code is achieved by orchestrating multiple concurrent sessions. Rally distributes independent work streams across several Claude instances and aggregates the results to reduce overall project completion time.

What is multi-session orchestration and when do I need it for concurrent coding?▼

Multi-session orchestration manages multiple AI agents working concurrently. You need it for simultaneous work streams, such as developing frontend UI and backend API changes in parallel to merge contributions efficiently.

How do I manage concurrent task distribution and result aggregation across multiple AI agents?▼

Concurrent task distribution and result aggregation are managed by assigning independent tasks to parallel sessions. The orchestration layer collects the outputs from each agent team instance and merges the concurrent work streams.

How are file conflicts resolved when multiple Claude Code instances edit code simultaneously?▼

File conflicts from simultaneous edits are handled by built-in conflict resolution mechanisms. The orchestration process detects overlapping changes across concurrent sessions and resolves them to merge parallel contributions safely.

Can I use parallel orchestration for simultaneous bug fixing across different code modules?▼

Yes, parallel orchestration supports simultaneous bug fixing across different code modules. By distributing independent bug fixing tasks to separate Claude Code instances, you can resolve multiple issues concurrently and aggregate the results.

What are the limitations of using multi-session orchestration for parallel development?▼

Multi-session orchestration is limited by the complexity of conflict resolution when concurrent edits heavily overlap. It is best suited for independent work streams rather than tightly coupled tasks requiring continuous synchronization.

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