Install
openclaw skills install travel-cogAI travel planning and itinerary generation powered by CellCog. Vacation planning, travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events. Complete itineraries as PDFs or interactive dashboards.
openclaw skills install travel-cogReal travel planning needs real research — not recycled blog listicles.
#1 on DeepResearch Bench (Apr 2026) applied to travel. CellCog researches current prices, visa requirements, weather patterns, local events, and hidden gems — then delivers complete itineraries as beautiful PDFs or interactive dashboards. Every recommendation grounded in fresh data, not outdated travel guides.
For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.
OpenClaw (fire-and-forget):
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
)
All agents except OpenClaw (blocks until done):
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
)
print(result["message"])
Day-by-day plans with logistics:
Example prompt:
"Plan a 7-day trip to Japan:
Travelers: Couple, late 20s, first time in Japan Dates: April 5-12, 2026 (cherry blossom season) Interests: Food (especially ramen and sushi), temples, photography, some nightlife Budget: Mid-range ($200-300/day for two) Base cities: Tokyo (3 nights), Kyoto (3 nights), Osaka (1 night)
Include: Day-by-day itinerary, restaurant recommendations, transport between cities (Shinkansen vs. bus), estimated costs, cherry blossom viewing spots, and tips for navigating without Japanese.
Deliver as a beautiful PDF I can reference on my phone."
Deep-dive research before you book:
The details that matter:
| Format | Best For |
|---|---|
| PDF Itinerary | Phone-friendly, printable, shareable with travel partners |
| Interactive HTML | Clickable maps, expandable days, budget tracker |
| Markdown | Integration into Notion, Obsidian, or other planning tools |
Specify your preferred format. CellCog defaults to PDF when no format is specified.
| Generic Travel AI | CellCog Travel Cog |
|---|---|
| Recycled top-10 lists | Fresh research on current prices and availability |
| One-size-fits-all | Tailored to your dates, budget, interests, and travel style |
| Text-only itineraries | Beautiful PDFs, interactive dashboards, or structured markdown |
| Surface-level tips | Deep research on visa, weather, events, hidden gems |
| Can't do logistics | Estimates costs, compares transport, suggests accommodations |
| Scenario | Recommended Mode |
|---|---|
| Single trip itinerary | "agent" |
| Quick destination research | "agent" |
| Complex multi-country planning with deep research | "agent team" |
Use "agent" for most travel planning.
Be specific about dates: Prices, weather, and events vary dramatically by date.
Share your travel style: "Luxury resort", "budget backpacker", "boutique hotels" changes every recommendation.
Name your interests: "Food-focused", "adventure activities", "architecture and history", "beach and relaxation"
Set a budget: Even a rough range helps CellCog calibrate recommendations.
Mention constraints: "We don't drive", "vegetarian", "traveling with a toddler", "wheelchair accessible"
Ask for a PDF: CellCog's PDF itineraries are beautiful and phone-friendly — perfect for on-the-go reference.
Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate.
OpenClaw users: Run clawhub install cellcog instead.
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.