When should I use the Hierarchical Decomposition pattern?

Use this pattern for large, complex objectives that require breaking down into atomic, executable tasks with clear parent-child ownership and tree-structured state.

Can I combine these orchestration patterns for a single project?

Absolutely. The skill supports pattern combinations, such as using Plan-then-Execute for high-level strategy while utilizing Hierarchical Decomposition for the implementation phases.

Does this skill help with debugging multi-agent workflows?

Yes, the Event Sourcing pattern specifically provides immutable audit trails and state reconstruction capabilities for time-travel debugging and recovery scenarios.

What are the four orchestration patterns included in this skill?

The skill provides guidance on Plan-then-Execute (P-t-E), Hierarchical Decomposition, Blackboard, and Event Sourcing patterns.

Orchestration Patterns

Name: Orchestration Patterns
Author: Lobbi-Docs

byLobbi-Docs

Developer Tools

Provides a comprehensive framework of four proven coordination strategies for managing complex multi-agent AI tasks and workflows.

About

Orchestration Patterns empowers Claude to manage high-complexity objectives by selecting the optimal coordination strategy from four specialized frameworks: Plan-then-Execute, Hierarchical Decomposition, Blackboard, and Event Sourcing. Whether you need a structured DAG for predictable software development, recursive task breakdown for large-scale projects, or collaborative problem-solving through a shared knowledge space, this skill provides the architectural blueprints and implementation paths necessary to synchronize multiple agents effectively while maintaining state, auditability, and parallel execution efficiency.

Key Features

Recursive task decomposition strategies with defined depth and subtask limits
Shared knowledge space management via the collaborative Blackboard pattern
Pattern selection decision tree based on task complexity and parallelism requirements
0 GitHub stars
Event-driven audit trails and state reconstruction for debugging and compliance
Four distinct orchestration frameworks including P-t-E and Hierarchical Decomposition

Use Cases

Coordinating diverse specialized agents for collaborative research and knowledge synthesis
Architecting complex multi-phase software development lifecycles with parallel execution
Managing large-scale project breakdowns into atomic, independently executable tasks

About

Key Features

Recursive task decomposition strategies with defined depth and subtask limits
Shared knowledge space management via the collaborative Blackboard pattern
Pattern selection decision tree based on task complexity and parallelism requirements
0 GitHub stars
Event-driven audit trails and state reconstruction for debugging and compliance
Four distinct orchestration frameworks including P-t-E and Hierarchical Decomposition

Use Cases

Coordinating diverse specialized agents for collaborative research and knowledge synthesis
Architecting complex multi-phase software development lifecycles with parallel execution
Managing large-scale project breakdowns into atomic, independently executable tasks