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L4
Orchestrator
Parallel agents, async workflows
Characteristics
Approach
Parallel agents, async workflows
Turns per task
1-2
Mental model
AI as team of specialists to coordinate
Error response
Analyze root cause, adjust orchestration
Impact
Requests per feature
1-2 requests per feature (or feature set)
Rework rate
Minimal rework rate (<10%)
Context quality
Maximum parallel efficiency
What It Looks Like
User: "Add email validation, rate limiting, and audit logging
to user registration. Use dispatching-parallel-agents
since these are independent."
AI: *invokes dispatching-parallel-agents*
*dispatches 3 parallel agents*
*each agent uses appropriate skills*
*aggregates results*
*invokes verification-before-completion*
"All 3 features implemented, tested, verified."Common Patterns
- Identifies independent work upfront
- Uses parallel agents for efficiency
- Keeps main context clean with subagents
- Sophisticated skill composition
- Async workflows for long-running tasks
How to Level Up
The shift
Stop optimizing yourself, start optimizing the team.
Practice
- 1.Notice when you repeat a workflow
- 2.Document it as a skill using writing-skills
- 3.Share it with your team
- 4.Mentor L1-L2 users on planning-first approach
Skills to learn
writing-skills — create reusable skillsAll skills (to teach others)
Measure success
How many team members are using your skills?