Parallel Agent Execution Skill

This skill enables efficient multi-agent coordination for complex tasks.

When to Use

• Complex tasks requiring multiple exploration paths

• Research + implementation in parallel

• Large refactoring across multiple files

• Tasks benefiting from diverse approaches

Available Agents

Built-in Agents

Agent Purpose Mode

@agent

Autonomous coding Full access

#ask

Q&A, explanations Read-only

#edit

Direct file editing Write

Plan

Research & planning Read-only

Research

KB lookup Read-only

Planner

Implementation design Read-only

GitHub Copilot Coding Agent

For async background work that creates PRs:

Use: mcp_github_github_assign_copilot_to_issue Result: Creates branch (copilot/*) and opens PR

Parallelism Patterns

Pattern 1: Explore-Then-Implement

1. Fire Research agent for solutions
2. Fire Planner agent for design
3. Wait for both results
4. Implement using @agent

Pattern 2: Multi-File Refactor

1. Use runSubagent for each file group
2. Coordinate changes via todo list
3. Apply changes sequentially

Pattern 3: Research + Code

1. Parallel: KB search + web fetch + file read
2. Sequential: Plan → Implement → Test

Best Practices

• Never parallelize terminal commands - Run sequentially

• Parallelize read operations - file reads, searches, fetches

• Use todo list - Track multi-step progress

• Delegate exploration - Use subagents for research

• Commit per turn - When using background agents

Task Delegation Table

Task Type Recommended Agent

Algorithm research Research subagent

Code generation @agent

File exploration runSubagent

Quick edits #edit

Planning Plan subagent

Async PR work Copilot Coding Agent