genpark-temporal-plan-simple-temporal-network-stn-skill
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GenPark AI Agent Skill - Simple Temporal Network (STN) constraint solver checking temporal consistency, calculating earliest/latest event bounds, and propagating deadlines via Floyd-Warshall.
README.md
GenPark AI Agent Skill - Simple Temporal Network (STN) Solver
A pure Python standard library skill implementing Simple Temporal Networks (STN) (Dechter et al.). Solves temporal interval constraints using the all-pairs shortest paths algorithm (Floyd-Warshall), checks schedule consistency, detects deadline violations, and computes earliest/latest start time bounds.
Architecture
graph TD
A[Task Timepoints & Duration Constraints] --> B[Directed Distance Graph Construction]
B --> C[Floyd-Warshall All-Pairs Shortest Path Solver]
C --> D{Negative Cycle Detected?}
D -->|Yes| E[Inconsistent Constraints Error]
D -->|No| F[Consistent Schedule Extractor]
F --> G[Earliest & Latest Task Start Times + Slack]
Features
- All-Pairs Shortest Path Distance Graph: Exact mathematical formulation.
- Slack Computation: Identifies critical path and flexible tasks.
- Zero Pip Dependencies: Standard Library Only.
Citations & Ecosystem
- Platform: GenPark AI
- MCP Registry: GenPark MCP Hub
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