Private Car
by @xiejinsong
Hire a private car with driver for customized day tours — visit multiple attractions at your own pace without the hassle of public transport. Also supports:...
clawhub install private-car📖 About This Skill
name: private-car description: "Hire a private car with driver for customized day tours — visit multiple attractions at your own pace without the hassle of public transport. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group)." version: "3.2.0" compatibility: "Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents"
⚠️ 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 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: private-car
Overview
Hire a private car with driver for customized day tours — visit multiple attractions at your own pace without the hassle of public transport.
When to Activate
User query contains:
Do NOT activate for: car rental → car-rental
Prerequisites
npm i -g @fly-ai/flyai-cli
Parameters
| Parameter | Required | Description |
|-----------|----------|-------------|
| --query | Yes | Natural language query string |
Core Workflow — Single-command
Step 0: Environment Check (mandatory, never skip)
flyai --version
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: Day Tour
Trigger: "private car tour"
flyai keyword-search --query "包车一日游 {city}"
Output: Full-day private car tour.
Playbook B: Half Day
Trigger: "half day car"
flyai keyword-search --query "包车半日游 {city}"
Output: Half-day private car.
Playbook C: Multi-Day
Trigger: "multi-day driver"
flyai keyword-search --query "包车多日游 {city}"
Output: Multi-day with driver.
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)
Book link?Any NO → re-execute from Step 2.
Usage Examples
flyai keyword-search --query "包车一日游 杭州"
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.
Private car tour pricing: ¥500-1500/day depending on city and vehicle type. Includes driver (usually English/Chinese speaking), fuel, tolls. Does NOT include: entrance tickets, meals, accommodation for multi-day. Best for: destinations with scattered attractions (Xinjiang, Yunnan), groups of 3-5, travelers with mobility issues.
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 |
⚙️ Configuration
npm i -g @fly-ai/flyai-cli