Student Flights

Find student-friendly flight deals — budget airlines, off-peak departures, and money-saving strategies specifically designed for young and student travelers. 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).

⚠️ 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.

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Skill: student-flights

Overview

Find student-friendly flight deals — budget airlines, off-peak departures, and money-saving strategies specifically designed for young and student travelers.

When to Activate

User query contains:

• English: "student flight", "cheap student", "youth fare", "college trip"
• Chinese: "学生机票", "学生特价", "穷学生", "大学生旅行"

Do NOT activate for: business → business-flights

Prerequisites

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

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	Always 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

Core Workflow — Single-command

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: Ultra Budget

Trigger: "cheapest possible", "最便宜"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --sort-type 3
flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --dep-hour-start 21 --sort-type 3
flyai search-flight --origin "{o}" --destination "{d}" --dep-date-start {date-3} --dep-date-end {date+3} --sort-type 3

Output: Triple search: standard + red-eye + flexible dates.

Playbook B: Holiday Budget

Trigger: "student holiday trip"

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

Output: Search off-peak seasons for student holidays.

Playbook C: Group Student Travel

Trigger: "和同学一起飞"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --sort-type 3
# Note: some airlines offer group discounts for 10+ passengers

Output: Note group discount possibilities.

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 "Kunming" --dep-date 2026-07-01 --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.

Students save most by: flying midweek (Tue-Thu), choosing red-eye flights, booking 2-3 weeks ahead, using budget airlines (Spring Airlines, 9 Air — no free luggage, pack light). Avoid all holiday periods. Off-season travel (Mar, May, Sep, Nov) offers best student-friendly prices. Consider train for routes under 4 hours.

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