🎁 Get the FREE AI Skills Starter GuideSubscribe →
BytesAgainBytesAgain
🦀 ClawHub

Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning

by @xiejinsong

Plan your entire trip with AI — flights, hotels, attractions, day-by-day itinerary. Tell me your destination, dates, and interests, I'll handle the rest. Als...

Versionv3.2.0
Downloads320
TERMINAL
clawhub install plan-trip

📖 About This Skill


name: plan-trip displayName: "Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning" description: "Plan your entire trip with AI — flights, hotels, attractions, day-by-day itinerary. Tell me your destination, dates, and interests, I'll handle the rest. 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: plan-trip

Overview

Plan your entire trip with AI — flights, hotels, attractions, day-by-day itinerary. Tell me your destination, dates, and interests, I'll handle the rest.

When to Activate

User query contains:

  • English: "plan my trip", "travel planning", "itinerary", "organize my vacation"
  • Chinese: "帮我规划行程", "安排旅行", "行程规划", "旅游攻略"
  • Do NOT activate for: specific type → see specialized planners

    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 Plan

    Trigger: "plan my trip", "帮我规划行程"

    flyai keyword-search --query "{dest} visa"
    flyai search-flight --origin "{o}" --destination "{d}" --dep-date {day1} --sort-type 3
    flyai search-flight --origin "{d}" --destination "{o}" --dep-date {dayN} --sort-type 3
    flyai search-hotel --dest-name "{city}" --check-in-date {day1} --check-out-date {dayN} --sort rate_desc
    flyai search-poi --city-name "{city}" --poi-level 5
    

    Output: Complete itinerary with all components.

    Playbook B: Quick Plan

    Trigger: "plan a quick trip"

    flyai search-flight --origin "{o}" --destination "{d}" --dep-date {day1} --sort-type 3
    flyai search-hotel --dest-name "{city}" --sort rate_desc --check-in-date {day1} --check-out-date {dayN}
    flyai search-poi --city-name "{city}" --poi-level 5
    

    Output: Skip visa, focus on core booking.

    Playbook C: Budget Plan

    Trigger: "plan cheap trip"

    flyai search-flight --origin "{o}" --destination "{d}" --dep-date {day1} --sort-type 3
    flyai search-hotel --dest-name "{city}" --sort price_asc --max-price 300 --check-in-date {day1} --check-out-date {dayN}
    flyai search-poi --city-name "{city}" --poi-level 5
    

    Output: All budget-oriented selections.

    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 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 keyword-search --query "Japan visa"
    flyai search-flight --origin "Shanghai" --destination "Tokyo" --dep-date 2026-05-01 --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.

    Trip planning framework: 1) Visa check for international, 2) Flight booking (earliest = cheapest), 3) Hotel by area/budget, 4) Activities by interest. Collect from user: origin, dates, days, interests, budget. Don't assume route — let flight prices guide city order.

    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