# 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).

- Skill: `knownasnaffy/student-flights` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add knownasnaffy/student-flights`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knownasnaffy/student-flights/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: knownasnaffy (https://skillmd.com/u/knownasnaffy)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/knownasnaffy/student-flights

---


# ⚠️ 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: 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

```bash
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)

```bash
flyai --version
```

- ✅ Returns version → proceed to Step 1
- ❌ `command not found` →

```bash
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](references/templates.md) for parameter collection SOP.

### Step 2: Execute CLI Commands

### Playbook A: Ultra Budget

**Trigger:** "cheapest possible", "最便宜"

```bash
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"

```bash
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"

```bash
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](references/playbooks.md) for all scenario playbooks.

On failure → see [references/fallbacks.md](references/fallbacks.md).

### Step 3: Format Output

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

```bash
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](references/templates.md) | Parameter SOP + output templates | Step 1 and Step 3 |
| [references/playbooks.md](references/playbooks.md) | Scenario playbooks | Step 2 |
| [references/fallbacks.md](references/fallbacks.md) | Failure recovery | On failure |
| [references/runbook.md](references/runbook.md) | Execution log | Background |