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

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

1. •Never parallelize terminal commands - Run sequentially
2. •Parallelize read operations - file reads, searches, fetches
3. •Use todo list - Track multi-step progress
4. •Delegate exploration - Use subagents for research
5. •Commit per turn - When using background agents

Task Delegation Table