genpark-hierarchical-task-network-htn-planner-skill
mcp
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GenPark AI Agent Skill - Hierarchical Task Network (HTN) decomposition engine recursively expanding compound high-level goals into primitive executable action sequences.
README.md
GenPark AI Agent Skill - Hierarchical Task Network (HTN) Planner
A pure Python standard library skill implementing Hierarchical Task Network (HTN) planning (SHOP2 style). Recursively decomposes complex agent goals into executable primitive action DAGs with state precondition and add/delete effect verification.
Architecture
graph TD
A[Compound High-Level Goal] --> B{Method Decomposition Engine}
B -->|Preconditions Satisfied| C[Subtasks Network]
C --> D{Primitive Operator Checker}
D -->|Primitive| E[Validate Operator Preconditions & Apply Effects]
D -->|Compound| B
E --> F[Linear Executable Primitive Action Plan]
Features
- Deterministic DFS Search: Guarantees sound plan generation.
- Precondition & Effect Tracking: Maintains ground predicate truth.
- Zero Pip Dependencies: Standard Library Only.
Citations & Ecosystem
- Platform: GenPark AI
- MCP Registry: GenPark MCP Hub
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