recreation-priority

Rank post-fire trail repairs by usage, access, and cost-effectiveness scores.

Updated Dec 20, 2025

Search Tags:#planning #scoring #budget #prioritize #trails #post-fire

Ready to run

npx skills add https://github.com/jvalenzano/ranger-twin --skill recreation-priority

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: recreation-priority
Source: https://github.com/jvalenzano/ranger-twin/tree/main/agents/trail_assessor/skills/recreation-priority
Command: npx skills add https://github.com/jvalenzano/ranger-twin --skill recreation-priority

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fire_utils, and includes scripts (resource) components.

What problem does it solve?

Automatically ranks trail repair projects after a wildfire by integrating usage, access, and cost-effectiveness to optimize resource allocation and reopen critical recreation routes.

Core Features & Use Cases

Multi-factor scoring: compute usage, access, and cost-effectiveness scores for each trail to drive a data-backed repair priority.
Deterministic prioritization: generate a ranked list with clear rationale to support budgeting and scheduling decisions.
Quick-win identification: surface low-cost, high-impact reopenings that maximize public benefit.

Quick Start

Run the recreation-priority skill with Cedar Creek fire data to generate a ranked repair plan, including quick wins and a budget-aware allocation.

Frequently Asked Questions about recreation-priority

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prioritize post-fire trail repairs using a data-backed scoring system?▼

Prioritize post-fire trail repairs by computing usage, access, and cost-effectiveness scores for each trail to generate a ranked repair plan with clear rationale. This multi-factor scoring approach optimizes resource allocation and reopens critical recreation routes based on data.

What's the best way to identify quick wins when planning a trail repair budget after a wildfire?▼

Identify quick wins for trail repair budgets by surfacing low-cost, high-impact reopenings that maximize public benefit. The prioritization process evaluates cost-effectiveness alongside usage and access to highlight projects that deliver immediate recreational value.

How does multi-factor scoring work for ranking recreation trail recovery projects?▼

Multi-factor scoring for trail recovery works by combining usage, access, and cost-effectiveness scores into a deterministic ranking. This method produces an actionable, budget-aware repair plan that supports scheduling and resource allocation decisions for affected trail networks.

Can I generate a budget-aware allocation plan for trail network repairs?▼

Yes, you can generate a budget-aware allocation plan for trail network repairs by integrating cost-effectiveness scores with usage and access data. This produces a ranked repair plan that aligns project prioritization with available funding and scheduling constraints.

Do I need fire data utilities to run trail repair prioritization?▼

Yes, you need the fire_utils dependency to run trail repair prioritization. This utility provides the necessary data handling framework to process post-fire incident inputs and compute the usage, access, and cost-effectiveness scores required for the ranked repair plan.

When should I use automated trail repair ranking instead of manual prioritization?▼

Use automated trail repair ranking when managing trail networks affected by wildfires and similar incidents where optimizing resource allocation is critical. It replaces manual prioritization by providing deterministic, multi-factor scoring and budget-aware allocation for data-backed recovery.