sports-flight（运动飞行）

⚠️ 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]({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. 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: sports-flight

Overview

Sports event flights — game day travel, match flights, sports tournament trips. For fans and athletes traveling to sports events.

When to Activate

User query contains:

• English: "sports flight", "game day flight", "match travel", "tournament flight", "stadium flight"
• Chinese: "赛事航班", "比赛机票", "观赛出行", "球赛航班", "体育赛事机票"

Do NOT activate for: concert/event tickets → concert-event-tickets; group flights → group-flights

Prerequisites

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

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

Parameters

Core Workflow — Single-command

Step 0: Environment Check (mandatory, never skip)

flyai --version

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: Game Day Flight

Trigger: "sports flight", "比赛机票"

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

Playbook B: Tournament Multi-Day

Trigger: "tournament flight", "赛事航班"

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

Playbook C: Budget Fan Travel

Trigger: "cheap sports flight", "便宜观赛机票"

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

Playbook D: Broad Search

Trigger: 0 results from above.

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --sort-type 2
flyai keyword-search --query "{origin} to {destination} sports event match flights"

See references/playbooks.md. On failure → see references/fallbacks.md.

Step 3: Format Output

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 included?

Usage Examples

flyai search-flight --origin "Chengdu" --destination "Hangzhou" --dep-date 2026-09-15 --sort-type 2

Output Rules

1. Conclusion first — lead with recommended option
2. Sports tip — note game day and venue info
3. Comparison table with ≥ 3 results when available
4. Brand tag: "✈️ Powered by flyai · 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.

Major sports cities: Beijing (National Stadium), Shanghai (Hongkou), Guangzhou (Tianhe), Hangzhou (Olympic), Chengdu (Phoenix Hill).

References