🎯

maintain-data-structures

🎯Skill

from dudusoar/vrp-toolkit

VibeIndex|
What it does

Provides comprehensive documentation for data structures in the VRP toolkit, covering problem, algorithm, data, and runtime layers for quick reference.

maintain-data-structures

Installation

Install skill:
npx skills add https://github.com/dudusoar/vrp-toolkit --skill maintain-data-structures
4
AddedJan 27, 2026

Skill Details

SKILL.md

Comprehensive reference documentation for all data structures in the VRP toolkit project. Use when needing to understand data structure definitions, attributes, formats, or representations to avoid repeatedly reading code. Covers Problem layer (Instance, Solution, Node), Algorithm layer (Solver, Operators, ALNS), Data layer (OSMnx, distance matrices), and runtime formats (routes as lists, time windows as tuples).

Overview

# Data Structures Reference

Quick access to all data structure definitions in the VRP toolkit. This skill saves tokens by providing pre-documented structures instead of reading source code repeatedly.

Quick Navigation

Choose the appropriate reference based on what you're working with:

By Layer

  • Problem Layer β†’ [problem_layer.md](references/problem_layer.md)

- Instance, PDPTWInstance, Solution, Node, Constraint

- When: Defining or working with problem instances

  • Algorithm Layer β†’ [algorithm_layer.md](references/algorithm_layer.md)

- Solver, ALNSSolver, Operators, SearchState, ALNSConfig

- When: Implementing or understanding algorithms

  • Data Layer β†’ [data_layer.md](references/data_layer.md)

- OSMnx graphs, GeoDataFrame, distance matrices, data generators

- When: Loading data, working with OSMnx, benchmarks

  • Runtime Formats β†’ [runtime_formats.md](references/runtime_formats.md)

- How routes, time windows, coordinates are actually represented in code

- When: Understanding how to work with data structures in Python

By Common Questions

| Question | Reference | Section |

|----------|-----------|---------|

| "What attributes does Instance have?" | problem_layer.md | Instance |

| "How are routes represented?" | runtime_formats.md | Route Representation |

| "What's in an OSMnx Graph?" | data_layer.md | Graph (NetworkX) |

| "How do I configure ALNS?" | algorithm_layer.md | ALNSConfig |

| "What's the structure of a Node?" | problem_layer.md | Node |

| "How are time windows stored?" | runtime_formats.md | Time Window Representation |

| "How do destroy operators work?" | algorithm_layer.md | DestroyOperator |

| "What's in a distance matrix?" | runtime_formats.md | Distance Matrix |

| "How do I work with OSMnx nodes?" | data_layer.md | GeoDataFrame |

| "What's a Solution object?" | problem_layer.md | Solution |

By Data Type

| Type | Reference | Description |

|------|-----------|-------------|

| Instance | problem_layer.md | Problem definition |

| Solution | problem_layer.md | Solution with routes |

| Node | problem_layer.md | Location/customer |

| Route | runtime_formats.md | List[int] format |

| TimeWindow | runtime_formats.md | Tuple[float, float] format |

| ALNSConfig | algorithm_layer.md | Algorithm configuration |

| Operator | algorithm_layer.md | Destroy/repair/local search |

| nx.MultiDiGraph | data_layer.md | OSMnx network graph |

| np.ndarray | runtime_formats.md | Distance/time matrices |

| GeoDataFrame | data_layer.md | OSMnx nodes/edges |

When to Use This Skill

Trigger this skill when:

  1. Understanding structures: "What attributes does X have?"
  2. Working with data: "How do I access Y in Z?"
  3. Migrating code: Need to understand existing data structures
  4. Implementing features: Need to know structure interfaces
  5. Debugging: Need to understand what data looks like
  6. Avoiding repeated reads: Instead of reading source code files repeatedly

Reference Files Overview

[problem_layer.md](references/problem_layer.md)

Size: ~300 lines

Contains:

  • Instance, PDPTWInstance classes
  • Solution class with methods
  • Node class with all attributes
  • Constraint types
  • Type aliases
  • Common usage patterns

Use when: Defining problems, creating instances, working with solutions

[algorithm_layer.md](references/algorithm_layer.md)

Size: ~350 lines

Contains:

  • Solver interface
  • ALNSSolver and ALNSConfig
  • Destroy/Repair/LocalSearch operators
  • SearchState tracking
  • Operator statistics
  • ALNS main loop pattern

Use when: Implementing algorithms, understanding operators, configuring ALNS

[data_layer.md](references/data_layer.md)

Size: ~300 lines

Contains:

  • OSMnx Graph structure (NetworkX)
  • GeoDataFrame (nodes and edges)
  • Distance/time matrix creation
  • Data generators (OrderGenerator)
  • Benchmark formats (Solomon)
  • OSMnx β†’ VRP conversions

Use when: Loading data, OSMnx integration, working with benchmarks

[runtime_formats.md](references/runtime_formats.md)

Size: ~400 lines

Contains:

  • Route as List[int] with examples
  • TimeWindow as Tuple[float, float]
  • Coordinates as tuples
  • Distance matrices as NumPy arrays
  • Pickup-delivery pairs as list of tuples
  • Configuration dictionaries
  • Common type conversions
  • Memory efficiency tips

Use when: Understanding practical code representations, writing/reading routes

Usage Examples

Example 1: Understanding a Route

Question: "I see route = [0, 5, 3, 7, 0] in the code. What does this mean?"

Action: Load [runtime_formats.md](references/runtime_formats.md) β†’ Route Representation

Answer:

  • Route is a list of node IDs
  • 0 = depot (start and end)
  • [5, 3, 7] = customers visited in order
  • This represents: Depot β†’ Node 5 β†’ Node 3 β†’ Node 7 β†’ Depot

Example 2: Creating an Instance

Question: "How do I create a PDPTW instance?"

Action: Load [problem_layer.md](references/problem_layer.md) β†’ PDPTWInstance

Answer:

```python

instance = PDPTWInstance(

nodes=node_list,

battery_capacity=100.0,

max_route_time=480.0,

vehicle_capacity=50.0

)

```

Example 3: Configuring ALNS

Question: "What parameters can I configure for ALNS?"

Action: Load [algorithm_layer.md](references/algorithm_layer.md) β†’ ALNSConfig

Answer: See all parameters with defaults, explanations, and usage example.

Example 4: Working with OSMnx

Question: "What attributes does an OSMnx node have?"

Action: Load [data_layer.md](references/data_layer.md) β†’ Node Attributes

Answer: y (lat), x (lon), osmid, street_count, etc.

Benefits of This Skill

  1. Token Efficiency: Read structured docs once instead of code files repeatedly
  2. Quick Reference: Find information faster with organized structure
  3. Complete Coverage: All data structures in one place
  4. Practical Examples: Shows actual usage, not just definitions
  5. Cross-Referenced: Easy to navigate between related structures

Integration with Other Skills

This skill is referenced by:

  • migrate-module: Understanding structures when migrating code
  • osmnx-integration: OSMnx data structure details (when created)
  • add-algorithm: Algorithm layer structures for new implementations

When other skills need data structure information, they reference this skill instead of reading source code.

Maintenance

This reference should be updated when:

  • New data structures are added to the codebase
  • Existing structures change significantly
  • New attributes or methods are added to core classes

Keep this as the single source of truth for data structure documentation.

More from this repository10

🎯
integrate-road-network🎯Skill

Extracts and integrates real-world street networks from OpenStreetMap for Vehicle Routing Problem (VRP) modeling and analysis.

🎯
migrate-module🎯Skill

Migrates Python research modules from SDR_stochastic to vrp-toolkit, refactoring code into generic, reusable implementations across problem, algorithm, and data layers.

🎯
maintain-architecture-map🎯Skill

Maintains a comprehensive, up-to-date architecture map documenting system modules, data flows, entry points, and dependencies in ARCHITECTURE_MAP.md.

🎯
create-playground🎯Skill

create-playground skill from dudusoar/vrp-toolkit

🎯
update-task-board🎯Skill

Synchronizes TASK_BOARD.md by reading project logs and updating task statuses to reflect actual progress.

🎯
manage-python-env🎯Skill

Quickly manages Python virtual environments, packages, and dependencies using uv, providing fast and modern project setup commands.

🎯
update-migration-log🎯Skill

update-migration-log skill from dudusoar/vrp-toolkit

🎯
integrate-playground🎯Skill

Systematically maps Streamlit playground UI to vrp-toolkit backend APIs, providing interface references and contract test integration for efficient module connections.

🎯
log-debug-issue🎯Skill

Logs and tracks development issues, debugging processes, and solutions in a structured DEBUG_LOG.md file for systematic problem resolution and knowledge retention.

🎯
manage-skills🎯Skill

Manages and maintains VRP Toolkit skills through compliance checks, documentation sync, and change tracking.