⚠️ 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: golden-week#

Overview#

Plan Golden Week (National Day) or Spring Festival trips — beat the crowds with smart timing, find available hotels during peak season, and save on inflated holiday prices.

When to Activate#

User query contains:

• English: "Golden Week", "National Day", "Spring Festival", "holiday travel"
• Chinese: "国庆", "黄金周", "春节旅行", "假期出行"

Do NOT activate for: regular travel → trip-planner

Prerequisites#

bash

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

Parameters#

ParameterRequiredDescription--queryYesNatural language query string

Core Workflow — Multi-command orchestration#

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 for parameter collection SOP.

Step 2: Execute CLI Commands#

Playbook A: Golden Week#

Trigger: "Golden Week trip"

bash

Flights + hotels for Oct 1-7 with early booking + less-crowded POIs

Output: Smart Golden Week planning.

Playbook B: Spring Festival#

Trigger: "Spring Festival trip"

bash

Flights home or to warm destinations + hotels + family activities

Output: CNY travel planning.

Playbook C: Anti-Peak#

Trigger: "avoid crowds during holiday"

bash

Search offset dates (±2 days from official holiday) for 40-60% savings

Output: Crowd and price avoidance strategy.

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#

bash

flyai search-flight --origin "Shanghai" --destination "Sanya" --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.

Golden Week (Oct 1-7) and Spring Festival (Jan/Feb, varies) are China's biggest travel periods. 800M+ people travel during Spring Festival. Strategies: book 2+ months ahead, travel on Oct 2/3 (not Oct 1), consider reverse routes (travel TO big cities when everyone leaves), go international (less domestic competition for seats). Prices: 2-3x normal.

References#

FilePurposeWhen to readreferences/templates.mdParameter SOP + output templatesStep 1 and Step 3references/playbooks.mdScenario playbooksStep 2references/fallbacks.mdFailure recoveryOn failurereferences/runbook.mdExecution logBackground