holiday-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 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: holiday-flights

Overview

Find flights during Chinese peak travel seasons — Spring Festival, Golden Week, Labor Day, Dragon Boat. Warns about high demand and suggests optimal booking windows.

When to Activate

User query contains:

Do NOT activate for: regular dates → cheap-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 | 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

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: Spring Festival

Trigger: "春节回家", "CNY flight"

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

Output: Warn: prices 50-200% higher. Book 1-2 months ahead.

Playbook B: Golden Week

Trigger: "国庆出游"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date-start 2026-09-28 --dep-date-end 2026-10-03 --sort-type 3

Output: Suggest departing 1-2 days early to save 30-50%.

Playbook C: Labor Day / Dragon Boat

Trigger: "五一/端午"

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

Output: 3-day mini-holidays. Book 2-3 weeks ahead.

Playbook D: Anti-Peak Strategy

Trigger: "避开高峰"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {holiday_start+2} --sort-type 3

Output: Search offset dates — depart 2 days after holiday starts for 40-60% savings.

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)

Any NO → re-execute from Step 2.

Usage Examples

flyai search-flight --origin "Guangzhou" --destination "Chengdu" --dep-date 2026-10-01 --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.

Chinese peak seasons and typical price multipliers: Spring Festival (Jan/Feb) 2-3x, Qingming (Apr) 1.5x, Labor Day (May) 1.5x, Dragon Boat (Jun) 1.3x, Summer (Jul-Aug) 1.3x, Mid-Autumn (Sep) 1.3x, Golden Week (Oct) 2-3x. Optimal booking: 1-2 months for Spring Festival/Golden Week, 2-3 weeks for minor holidays.

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 |

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