Claude Mountaineering Skills

Mountaineering Skills for Claude Code

Automated mountain route research for North American peaks, built for Claude Code.

Quick Start • How It Works • Features • Installation • Support

Ask Claude to research any mountain. The route-researcher skill pulls from 10+ mountaineering sources and compiles a detailed Markdown report with current weather, avalanche conditions, daylight windows, trip reports, and route beta. What used to take 3-5 hours of tab-hopping now takes 3-5 minutes.

Other projects you might like: PNW Climb Planner · mountaineers-mcp · mountaineers-assistant · peakbagger-cli

See it in action:

Peak	Elevation	What it shows
Mount Si	4,167 ft	High-traffic trail with abundant trip reports
Mount Adams	12,280 ft	Glaciated volcano with weather/avy conditions
Wolf Peak	5,813 ft	Technical scramble with sparse beta
Mount Shuksan	9,129 ft	Glacier climb requiring crevasse rescue skills
Tinkham Peak	5,398 ft	Accessible Class 2-3 scramble near Snoqualmie Pass

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Quick Start

Install with npx skills:

npx skills add dreamiurg/claude-mountaineering-skills

Then just ask naturally: "Research Mount Rainier". Claude generates a route beta report in your current directory.

npx skills installs the route-researcher skill, which drives the full workflow from natural-language requests. If you also want the /mountaineering:* slash commands, install the plugin instead -- see Installation.

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How It Works

The skill uses a hybrid architecture: Python scripts for deterministic API calls, LLM agents for tasks requiring judgment.

graph TB
    Start([User asks Claude toresearch a peak]) --> Search[Phase 1-2: Peak IdentificationSearch PeakBagger, fetch details]

    Search --> Parallel[Phase 3: Parallel Data Gathering]

    Parallel --> Python[Python ScriptWeather, daylight,avalanche, air quality]
    Parallel --> Agent1[Researcher Agent 1PeakBagger + SummitPost]
    Parallel --> Agent2[Researcher Agent 2WTA + Mountaineers]
    Parallel --> Agent3[Researcher Agent 3AllTrails]

    Python --> Analyze
    Agent1 --> Analyze
    Agent2 --> Analyze
    Agent3 --> Analyze

    Analyze[Phase 4: Route AnalysisSynthesize data, identify hazards]

    Analyze --> Writer[Phase 5: Report Writer AgentGenerate markdown report]

    Writer --> Reviewer[Phase 6: Report Reviewer AgentValidate accuracy, fix issues]

    Reviewer --> End([Phase 7: User receivesroute beta report])

    style Start fill:#e1f5ff
    style End fill:#e1f5ff
    style Parallel fill:#fff4e1
    style Python fill:#e8f5e9
    style Agent1 fill:#f0f0f0
    style Agent2 fill:#f0f0f0
    style Agent3 fill:#f0f0f0
    style Writer fill:#fff3e0
    style Reviewer fill:#fff3e0