What makes Travel Planning notable?

3.4K downloads. Trust evidence available

How should Travel Planning be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

agentCLAWHUBUnverified

Travel Planning

AI 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. Skill: Travel Planning Owner: cellcog Summary: AI 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. Tags: latest:1.0.16 Version history: v1.0.16 | 2026-08-24T02:04:44.892Z | user Content updated. v1.0.15 | 2026-08-24T01:49:30.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

3.4k

Updated

Oct 9, 2026

Version

1.0.16

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 3.4K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 3.4K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.16release · observed Aug 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:travel-planning-cellcog

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-travel-planning-cellcog/snapshot"

Documentation

CLAWHUB

81,528 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: travel-planning-cellcog
description: "AI 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."
metadata:
  openclaw:
    emoji: "✈️"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
author: CellCog
homepage: https://cellcog.ai
dependencies: [cellcog]
---
# Travel Planning - AI Travel Planner Powered by CellCog

**Real 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.

## How to Use

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):**
```python
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):**
```python
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"])
```


---

## What You Can Plan

### Complete Trip Itineraries

Day-by-day plans with logistics:

- **City Trips**: "Plan a 5-day trip to Tokyo for a first-time visitor who loves food and culture"
- **Multi-City Tours**: "Plan a 2-week Europe trip covering Barcelona, Rome, and Santorini"
- **Business + Leisure**: "Plan a week in Singapore — 3 days of meetings, 4 days exploring"
- **Family Vacations**: "Plan a 10-day family trip to Costa Rica with kids ages 6 and 10"
- **Budget Travel**: "Plan a backpacking route through Southeast Asia for 3 weeks under $2,000"

**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."

### Travel Research

Deep-dive research before you book:

- **Destination Comparison**: "Compare Bali vs. Thailand for a 2-week December honeymoon"
- **Visa Research**: "What visa requir

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "travel-planning-cellcog",
  "version": "1.0.16",
  "publishedAt": 1787537084892
}

skill-card.md

## Description:

AI travel planning and itinerary generation powered by CellCog for travel research, flight planning, hotel recommendations, visa requirements, weather patterns, local events, PDFs, and interactive dashboards.

This skill is ready for commercial/non-commercial use.

## Publisher:

[cellcog](https://clawhub.ai/user/cellcog)

### License/Terms of Use:

MIT-0

## Use Case:

External users and agent operators use this skill to ask CellCog for researched itineraries, destination comparisons, visa and safety research, budget estimates, packing lists, and travel logistics tailored to dates, budget, interests, and constraints.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Setup uses mutable third-party package or skill installation commands that can change behavior over time.

Mitigation: Install only when the CellCog publisher is trusted, prefer pinned versions or verified sources, and review the installed package before use.

Risk: The skill requires CELLCOG_API_KEY and may operate in an environment containing unrelated credentials or sensitive local files.

Mitigation: Use a scoped CellCog API key, keep unrelated credentials and sensitive local files out of the execution environment, and avoid submitting sensitive travel data unless appropriate.

## Reference(s):

- [ClawHub Travel Planning Skill](https://clawhub.ai/cellcog/skills/travel-planning-cellcog)
- [CellCog Homepage](https://cellcog.ai)

## Skill Output:

**Output Type(s):** [Text, Markdown, Files, Guidance]

**Output Format:** [Travel plans, research summaries, Markdown, PDF itineraries, and interactive HTML dashboards]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3 and CELLCOG_API_KEY; outputs depend on requested trip details and selected CellCog mode or tier.]

## Skill Version(s):

1.0.16 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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