skills$openclaw/journey
barneyjm2.2k

by barneyjm

journey – OpenClaw Skill

journey is an OpenClaw Skills integration for coding workflows. Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops or check if an itinerary is achievable.

2.2k stars4.6k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

namejourney
descriptionPlan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops or check if an itinerary is achievable. OpenClaw Skills integration.
ownerbarneyjm
repositorybarneyjm/journey
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @barneyjm/journey
last updatedFeb 7, 2026

Maintainer

barneyjm

barneyjm

Maintains journey in the OpenClaw Skills directory.

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4 files
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scripts
journey.sh
1.6 KB
_meta.json
446 B
SKILL.md
4.9 KB
SKILL.md

name: journey description: "Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops or check if an itinerary is achievable." metadata: {"clawdbot":{"emoji":"🗺️","requires":{"env":["CAMINO_API_KEY"]},"primaryEnv":"CAMINO_API_KEY"}}

Installation

Companion Skills: This is part of the Camino AI location intelligence suite. Install all 6 skills (query, places, relationship, context, route, journey) for comprehensive coverage.

# Install all skills from repo
npx skills add https://github.com/barneyjm/camino-skills

# Or install specific skills
npx skills add https://github.com/barneyjm/camino-skills --skill journey

Via clawhub:

npx clawhub@latest install journey
# or: pnpm dlx clawhub@latest install journey
# or: bunx clawhub@latest install journey

Journey - Multi-Stop Planning

Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints.

Setup

  1. Get your API key from https://app.getcamino.ai
  2. Add to your ~/.claude/settings.json:
{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}
  1. Restart Claude Code

Usage

Via Shell Script

# Plan a simple journey
./scripts/journey.sh '{
  "waypoints": [
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Start at hotel"},
    {"lat": 40.7484, "lon": -73.9857, "purpose": "Visit Empire State Building"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "Lunch in Midtown"}
  ]
}'

# With transport mode and time budget
./scripts/journey.sh '{
  "waypoints": [
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Start"},
    {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "MoMA"}
  ],
  "constraints": {
    "transport": "foot",
    "time_budget": "3 hours"
  }
}'

Via curl

curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "waypoints": [
      {"lat": 40.7128, "lon": -74.0060, "purpose": "Start"},
      {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State"}
    ],
    "constraints": {"transport": "foot"}
  }' \
  "https://api.getcamino.ai/journey"

Parameters

FieldTypeRequiredDefaultDescription
waypointsarrayYes-List of waypoints with lat, lon, and purpose (min 2)
constraints.transportstringNo"walking"Transport mode: "walking", "car", or "bike"
constraints.time_budgetstringNo-Time constraint (e.g., "2 hours", "90 minutes")
constraints.preferencesarrayNo[]Route preferences

Waypoint Object

FieldTypeRequiredDescription
latfloatYesLatitude of the waypoint
lonfloatYesLongitude of the waypoint
purposestringNoDescription of why you're visiting this waypoint

Response Format

{
  "feasible": true,
  "total_distance_km": 4.2,
  "total_time_minutes": 52,
  "total_time_formatted": "52 minutes",
  "transport_mode": "foot",
  "route_segments": [
    {
      "from": "Start",
      "to": "Empire State",
      "distance_km": 4.2,
      "duration_minutes": 52
    }
  ],
  "analysis": {
    "summary": "This walking journey is feasible...",
    "optimization_opportunities": []
  }
}

Examples

Day trip planning

./scripts/journey.sh '{
  "waypoints": [
    {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower"},
    {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre Museum"},
    {"lat": 48.8530, "lon": 2.3499, "purpose": "Notre-Dame"},
    {"lat": 48.8867, "lon": 2.3431, "purpose": "Sacré-Cœur"}
  ],
  "constraints": {
    "transport": "foot",
    "time_budget": "6 hours"
  }
}'

Business meeting route

./scripts/journey.sh '{
  "waypoints": [
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Office"},
    {"lat": 40.7580, "lon": -73.9855, "purpose": "Client meeting"},
    {"lat": 40.7614, "lon": -73.9776, "purpose": "Lunch"},
    {"lat": 40.7128, "lon": -74.0060, "purpose": "Return to office"}
  ],
  "constraints": {
    "transport": "car",
    "time_budget": "2 hours"
  }
}'

Cycling tour

./scripts/journey.sh '{
  "waypoints": [
    {"lat": 37.7749, "lon": -122.4194, "purpose": "Start downtown SF"},
    {"lat": 37.8199, "lon": -122.4783, "purpose": "Golden Gate Bridge"},
    {"lat": 37.8270, "lon": -122.4230, "purpose": "Sausalito"}
  ],
  "constraints": {
    "transport": "bike"
  }
}'

Use Cases

  • Trip itinerary validation: Check if a planned itinerary is feasible within time constraints
  • Route optimization: Get suggestions for optimizing multi-stop journeys
  • Travel time estimation: Understand total journey time across multiple destinations
  • Tour planning: Plan walking tours, cycling routes, or driving trips
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install journey?

Run openclaw add @barneyjm/journey in your terminal. This installs journey into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/barneyjm/journey. Review commits and README documentation before installing.