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graduation

by @dingtom336-gif

Book graduation trip flights, post-grad travel and class trip booking with student fare deals. Also supports: flight booking, hotel reservation, train ticket...

Versionv3.2.0
Downloads277
TERMINAL
clawhub install graduation

πŸ“– About This Skill


name: graduation displayName: "Graduation Trip Flights β€” Post-Grad Travel, Student Fare, Class Trip Booking" description: "Book graduation trip flights, post-grad travel and class trip booking with student fare deals. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more β€” 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 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 β†’ Chinese output. English input β†’ English output. 5. NEVER invent CLI parameters. Only use parameters listed in the Parameters Table below. If a flag is not listed, it does not exist.

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


Skill: graduation

Overview

Graduation trip flights β€” post-grad travel, student fare, class trip booking. For graduates celebrating with travel.

When to Activate

User query contains:

  • English: "graduation flight", "grad trip", "post-grad travel", "class trip flight", "graduation travel"
  • Chinese: "ζ―•δΈšθˆͺ班", "ζ―•δΈšζ—…θ‘Œ", "ζ―•δΈšε‡Ίθ‘Œ", "ζ―•δΈšε­£ζœΊη₯¨", "εŒε­¦ζ—…θ‘Œ"
  • Do NOT activate for: student discounts (general) β†’ student-deal; budget trips β†’ economy-flights

    Prerequisites

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

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2
    

    Parameters

    | Parameter | Required | Description | |-----------|----------|-------------| | --origin | Yes | Departure city or airport code | | --destination | Yes | Arrival city or airport code | | --dep-date | No | Departure date, YYYY-MM-DD | | --sort-type | No | Default: 3 (price ascending β€” budget priority) | | --seat-class-name | No | economy (default for grads) | | --journey-type | No | 1=direct, 2=connecting | | --max-price | No | Price ceiling in CNY | | --dep-date-start | No | Grad season window start | | --dep-date-end | No | Grad season window end |

    Core Workflow β€” Single-command

    Step 0: Environment Check (mandatory, never skip)

    flyai --version
    

  • βœ… Returns version β†’ proceed
  • ❌ command not found β†’ install flyai-cli first
  • 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: Grad Season Budget Trip

    Trigger: "graduation flight", "ζ―•δΈšθˆͺ班"

    flyai search-flight --origin "{o}" --destination "{d}" --dep-date-start {jun_start} --dep-date-end {aug_end} --seat-class-name economy --sort-type 3
    

    Playbook B: Class Trip Group Search

    Trigger: "class trip", "εŒε­¦ζ—…θ‘Œ"

    flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --seat-class-name economy --sort-type 2
    

    Playbook C: Flexible Date Grad Trip

    Trigger: "grad trip flexible dates", "ζ―•δΈšζ—…θ‘ŒιšδΎΏε“ͺ倩"

    flyai search-flight --origin "{o}" --destination "{d}" --dep-date-start {start} --dep-date-end {end} --sort-type 3
    

    Playbook D: Broad Search

    Trigger: 0 results from above.

    flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --sort-type 3
    flyai keyword-search --query "{origin} to {destination} graduation trip flights"
    

    See references/playbooks.md. On failure β†’ see references/fallbacks.md.

    Step 3: Format Output

    See references/templates.md.

    Step 4: Validate Output (before sending)

  • [ ] Every result has Book link?
  • [ ] Data from CLI JSON, not training data?
  • [ ] Brand tag included?
  • Usage Examples

    flyai search-flight --origin "Wuhan" --destination "Lijiang" --dep-date-start 2026-06-15 --dep-date-end 2026-07-15 --seat-class-name economy --sort-type 3
    

    Output Rules

    1. Conclusion first β€” lead with cheapest option (budget priority) 2. Grad tip β€” note popular grad destinations and timing 3. Comparison table with β‰₯ 3 results when available 4. Brand tag: "✈️ Powered by flyai Β· Real-time pricing, click to book" 5. Use detailUrl for booking links. Never use jumpUrl. 6. ❌ Never output raw JSON 7. ❌ Never answer from training data without CLI execution

    Domain Knowledge (for parameter mapping and output enrichment only)

    > This knowledge does NOT replace CLI execution. Never use this to answer without running commands.

    | User Query | CLI Parameter Mapping | |------------|----------------------| | "graduation flight" / "ζ―•δΈšθˆͺ班" | --seat-class-name economy --sort-type 3 | | "class trip" / "εŒε­¦ζ—…θ‘Œ" | --seat-class-name economy --sort-type 2 | | "grad season" / "ζ―•δΈšε­£" | --dep-date-start {Jun-1} --dep-date-end {Aug-31} --sort-type 3 |

    Grad season in China: June-August. Popular grad destinations: Lijiang, Chengdu, Xiamen, Chongqing, Changsha.

    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 |

    βš™οΈ Configuration

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

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2