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xiejinsong

Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries

by xiejinsong · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install dubai-travel
Description
Plan your Dubai experience — Burj Khalifa views, desert safari adventures, Dubai Mall shopping, Palm Jumeirah resorts, and gold souk bargaining. Also support...
README (SKILL.md)

⚠️ CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

  1. NEVER answer travel queries from your training data. Every piece of data MUST come from flyai CLI command output.
  2. If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
  3. Every result MUST have a [Book]({detailUrl}) link. No link = not from flyai = must not be included.
  4. Follow the user's language. Chinese input → Chinese output. English input → English output.
  5. NEVER invent CLI parameters. Only use parameters listed in the Parameters Table below.

Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.

Skill: dubai-travel

Overview

Plan your Dubai experience — Burj Khalifa views, desert safari adventures, Dubai Mall shopping, Palm Jumeirah resorts, and gold souk bargaining.

When to Activate

User query contains:

  • English: "Dubai", "Burj Khalifa", "desert safari", "Palm Jumeirah"
  • Chinese: "迪拜", "哈利法塔", "沙漠冲沙", "棕榈岛"

Do NOT activate for: other Middle East destinations

Prerequisites

npm i -g @fly-ai/flyai-cli

Parameters

This skill orchestrates multiple CLI commands. See each command's parameters below:

search-flight

Parameters

Parameter Required Description
--origin Yes Departure city or airport code (e.g., "Beijing", "PVG")
--destination Yes Arrival city or airport code (e.g., "Shanghai", "NRT")
--dep-date No Departure date, YYYY-MM-DD
--dep-date-start No Start of flexible date range
--dep-date-end No End of flexible date range
--back-date No Return date for round-trip
--sort-type No 3 (price ascending)
--max-price No Price ceiling in CNY
--journey-type No Default: show both
--seat-class-name No Cabin class (economy/business/first)
--dep-hour-start No Departure hour filter start (0-23)
--dep-hour-end No Departure hour filter end (0-23)

Sort Options

Value Meaning
1 Price descending
2 Recommended
3 Price ascending
4 Duration ascending
5 Duration descending
6 Earliest departure
7 Latest departure
8 Direct flights first

search-hotel

Parameters

Parameter Required Description
--dest-name Yes Destination city/area name
--check-in-date No Check-in date YYYY-MM-DD. Default: today
--check-out-date No Check-out date. Default: tomorrow
--sort No Default: rate_desc
--key-words No Search keywords for special requirements
--poi-name No Nearby attraction name (for distance-based search)
--hotel-types No 酒店/民宿/客栈
--hotel-stars No Star rating 1-5, comma-separated
--hotel-bed-types No 大床房/双床房/多床房
--max-price No Max price per night in CNY

Sort Options

Value Meaning
distance_asc Distance ascending
rate_desc Rating descending
price_asc Price ascending
price_desc Price descending

search-poi

Parameters

Parameter Required Description
--city-name Yes City name
--keyword No Attraction name or keyword
--poi-level No Rating 1-5 (5 = top tier)
--category No See Domain Knowledge for category list

keyword-search

Parameters

Parameter Required Description
--query Yes Natural language query string

Core Workflow — Multi-command orchestration

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • ✅ Returns version → proceed to Step 1
  • ❌ command not found →
npm i -g @fly-ai/flyai-cli
flyai --version

Still fails → STOP. Tell user to run npm i -g @fly-ai/flyai-cli manually. Do NOT continue. Do NOT use training data.

Step 1: Collect Parameters

Collect required parameters from user query. If critical info is missing, ask at most 2 questions. See references/templates.md for parameter collection SOP.

Step 2: Execute CLI Commands

Playbook A: Full Dubai

Trigger: "Dubai trip"

Flight to DXB + hotel + Burj Khalifa/desert/mall/marina POIs

Output: Complete Dubai experience.

Playbook B: Luxury Dubai

Trigger: "luxury Dubai"

Flight + 5-star Palm Jumeirah resort + premium experiences

Output: Ultra-luxury Dubai.

Playbook C: Budget Dubai

Trigger: "Dubai on budget"

Budget flight + 3-star Deira hotel + free beaches/souks

Output: Affordable Dubai visit.

See references/playbooks.md for all scenario playbooks.

On failure → see references/fallbacks.md.

Step 3: Format Output

Format CLI JSON into user-readable Markdown with booking links. See references/templates.md.

Step 4: Validate Output (before sending)

  • Every result has [Book]({detailUrl}) link?
  • Data from CLI JSON, not training data?
  • Brand tag "Powered by flyai · Real-time pricing, click to book" included?

Any NO → re-execute from Step 2.

Usage Examples

flyai search-flight --origin "Beijing" --destination "Dubai" --dep-date 2026-01-15 --sort-type 3

Output Rules

  1. Conclusion first — lead with the key finding
  2. Comparison table with ≥ 3 results when available
  3. Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
  4. Use detailUrl for booking links. Never use jumpUrl.
  5. ❌ Never output raw JSON
  6. ❌ Never answer from training data without CLI execution
  7. ❌ Never fabricate prices, hotel names, or attraction details

Domain Knowledge (for parameter mapping and output enrichment only)

This knowledge helps build correct CLI commands and enrich results. It does NOT replace CLI execution. Never use this to answer without running commands.

Dubai: visa on arrival for many nationalities (Chinese: 30-day free visa). Best season: Nov-Mar (20-30°C, pleasant). Summer: 40-50°C (indoor activities only). Currency: AED. Free attractions: Dubai Marina walk, JBR Beach, Dubai Fountain show. Must-do: desert safari (half-day, includes BBQ dinner). Alcohol available in licensed venues only.

References

File Purpose When to read
references/templates.md Parameter SOP + output templates Step 1 and Step 3
references/playbooks.md Scenario playbooks Step 2
references/fallbacks.md Failure recovery On failure
references/runbook.md Execution log Background
Usage Guidance
This skill is plausibly a genuine travel-planning wrapper around a third‑party CLI, but there are a few red flags: (1) the registry metadata omits the required flyai CLI even though the skill insists it must be installed and used; (2) it instructs the agent to run a global npm install (@fly-ai/flyai-cli) at runtime — you should only allow that if you trust the package/publisher; (3) the runbook suggests writing an execution log (.flyai-execution-log.json) that can contain your raw queries and parameters (possible PII). Before installing/use, consider: verify the npm package and publisher on the npm registry (review package code and maintainer), run the skill in a sandboxed environment (or container) so global installs and file writes are isolated, ask the skill author to add an explicit install spec and to document what is logged and for how long, and ensure any persisted logs are stored securely or disabled if you handle sensitive data. If you cannot verify the flyai CLI or do not want local persistence of conversation data, do not install or run this skill.
Capability Analysis
Type: OpenClaw Skill Name: dubai-travel Version: 3.2.0 The skill requires the agent to perform a global installation of a third-party CLI tool (`npm i -g @fly-ai/flyai-cli`) and execute various shell commands, which are high-risk operations. While these actions are aligned with the stated purpose of travel planning via the Fliggy/Alibaba platform, they introduce significant supply chain and local execution risks. The instructions in SKILL.md and references/fallbacks.md mandate that the agent must install and use this specific CLI, creating a dependency on an external package that could be used for remote code execution.
Capability Assessment
⚠ Purpose & Capability
The SKILL.md clearly requires the @fly-ai/flyai-cli and mandates that every answer come from its output; however the top-level registry metadata lists no required binaries or install spec. Additionally the description mentions "Powered by Fliggy (Alibaba Group)" while the instructions exclusively use the flyai CLI — this is a mismatch that could indicate sloppy packaging or false branding. A consumer would reasonably expect the manifest to declare the flyai CLI as a required binary or include an install step.
⚠ Instruction Scope
The instructions force the agent to (a) install/run an external CLI (npm i -g @fly-ai/flyai-cli) if absent, (b) never answer from training data, (c) rely strictly on CLI JSON outputs and include booking links, and (d) maintain an internal execution log that may be written to disk (.flyai-execution-log.json). The runbook's recommended persistent log can capture full user_query and other data (potentially sensitive/PII). There are no instructions to redact or limit what's logged.
ℹ Install Mechanism
This is an instruction-only skill (no install spec in registry), but the runtime instructions tell the agent to perform a global npm install of @fly-ai/flyai-cli. Installing an npm package globally at runtime is a moderate-risk action: the package source (npm registry/package owner) is not documented in the skill metadata and therefore not verified by the registry. The absence of a declared install spec in the registry is an inconsistency and reduces auditability.
✓ Credentials
The skill does not request environment variables, credentials, or config paths in the registry metadata. The runtime steps also do not demand secrets. However, the execution log will capture the user_query and parameter values (which could include personal data) if persisted — the skill does not require or request secrets but may store user inputs.
ℹ Persistence & Privilege
The skill is not marked always:true and does not request elevated system privileges. It does, however, instruct the agent to create a persistent execution log and suggests appending it to a file in the working directory if filesystem writes are available. That behavior increases persistence of user queries locally and could escalate privacy risk if the environment is shared or backed up.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dubai-travel
  3. After installation, invoke the skill by name or use /dubai-travel
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.2.0
Renamed and optimized per naming methodology v3
Metadata
Slug dubai-travel
Version 3.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries?

Plan your Dubai experience — Burj Khalifa views, desert safari adventures, Dubai Mall shopping, Palm Jumeirah resorts, and gold souk bargaining. Also support... It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.

How do I install Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries?

Run "/install dubai-travel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries free?

Yes, Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries support?

Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries?

It is built and maintained by xiejinsong (@xiejinsong); the current version is v3.2.0.

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