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.
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 |
Quick Start
/plugin marketplace add dreamiurg/claude-mountaineering-skills
/plugin install mountaineering@mountaineering-marketplace
Then reload and try:
/reload-plugins
/mountaineering:research Mount Rainier
Or just ask naturally: "Research Mount Rainier". Claude generates a route beta report in your current directory.
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 to<br/>research a peak]) --> Search[Phase 1-2: Peak Identification<br/>Search PeakBagger, fetch details]
Search --> Parallel[Phase 3: Parallel Data Gathering]
Parallel --> Python[Python Script<br/>Weather, daylight,<br/>avalanche, air quality]
Parallel --> Agent1[Researcher Agent 1<br/>PeakBagger + SummitPost]
Parallel --> Agent2[Researcher Agent 2<br/>WTA + Mountaineers]
Parallel --> Agent3[Researcher Agent 3<br/>AllTrails]
Python --> Analyze
Agent1 --> Analyze
Agent2 --> Analyze
Agent3 --> Analyze
Analyze[Phase 4: Route Analysis<br/>Synthesize data, identify hazards]
Analyze --> Writer[Phase 5: Report Writer Agent<br/>Generate markdown report]
Writer --> Reviewer[Phase 6: Report Reviewer Agent<br/>Validate accuracy, fix issues]
Reviewer --> End([Phase 7: User receives<br/>route 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
Three researcher agents gather data in parallel while a Python script fetches conditions. Dedicated agents write and review the final report. If a source fails, the skill documents the gap and continues.
Features
Data Sources
The skill aggregates from specialized mountaineering sites:
| Category | Sources |
|---|---|
| Peak info | PeakBagger |
| Routes | SummitPost, WTA, AllTrails, The Mountaineers |
| Weather | Open-Meteo, NOAA/NWS |
| Avalanche | NWAC, regional centers |
| Trip reports | PeakBagger, WTA, The Mountaineers |
Coverage note: Report quality depends on how well-documented your peak is across these sources. Works best for popular North American peaks.
Graceful Degradation
Missing data? The skill notes what's unavailable in an "Information Gaps" section and provides manual lookup links. You always get a report, even if some sources are down.