Parallel autopilot with file ownership partitioning
Decompose complex tasks into parallel sub-agents. Use for multi-step operations, batch processing, or when user mentions "parallel", "agents", "orchestrate", "subtasks", or "concurrent". Supports...
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Orchestrate parallel scientist agents for comprehensive research with AUTO mode
Parses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal...
Full autonomous execution from idea to working code
Activate maximum performance mode with parallel agent orchestration for high-throughput task completion
End-to-end DAG execution orchestrator that decomposes arbitrary tasks into agent graphs and executes them in parallel. The intelligence layer that makes DAG Framework operational.
AWS Step Functions workflow orchestration with state machines. Use when designing workflows, implementing error handling, configuring parallel execution, integrating with AWS services, or...
Universal workflow for planning and executing features, bug fixes, and improvements. Works across any tech stack. Enables parallel agent execution with proper task decomposition.
Multi-agent parallel execution with autonomous workers. Use when plan.md has Track Assignments section or user triggers /conductor-orchestrate, "run parallel", "spawn workers". MUST load...
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies