# bikescout

> Use this tool when you need to find the best cycling or mountain biking trails, as it provides intelligent route recommendations by analyzing real-world map data. BikeScout solves the problem of discovering new trails and optimizing routes, taking into account various factors to suggest the most suitable paths. It takes in location and preference inputs and outputs personalized trail recommendations, making it ideal for cyclists and mountain bikers seeking new adventures.

Canonical page: https://skillsregistry.net/skills/hifly81-bikescout  
JSON: https://api.skillsregistry.net/v1/skills/hifly81-bikescout

## Description

AI for tactical cycling intelligence: Predictive mud logic, S-Scale terrain analysis, and AI-powered GPX routing,

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/hifly81/bikescout)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hifly81-bikescout"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hifly81-bikescout` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hifly81-bikescout/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt