⚠️ 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.

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Skill: coastal-flight#

Overview#

Search coastal flights — seaside cities, beach towns, harbor destinations. For travelers heading to coastal and seaside destinations.

When to Activate#

User query contains:

• English: "coastal flight", "seaside flight", "beach town flight", "harbor flight", "coastal city flight", "shoreline flight"
• Chinese: "沿海航班", "海滨航班", "海边机票", "沿海城市机票", "港口城市航班", "海边出行"

Do NOT activate for: island destinations → island-flight; mountain trips → mountain-flight

Prerequisites#

bash

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

Parameters#

ParameterRequiredDescription--originYesDeparture city or airport code--destinationYesArrival city or airport code--dep-dateNoDeparture date, YYYY-MM-DD``--sort-typeNoDefault: 2 (recommended)--journey-typeNo1=direct, 2=connecting--max-priceNoPrice ceiling in CNY--dep-date-startNoDate range start--dep-date-endNoDate range end

Sort Options#

ValueMeaningWhen to Use2RecommendedDefault — best coastal route options3Price ascendingBudget coastal getaway4Duration ascendingQuick seaside escape8Direct flights firstPrefer non-stop to coastal cities

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. 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: Recommended Coastal Route#

Trigger: "coastal flight", "沿海航班"

bash

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

Output: Recommended flights to coastal cities.

Playbook B: Budget Coastal Getaway#

Trigger: "cheap coastal flight", "便宜沿海机票"

bash

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

Output: Cheapest flights to coastal destinations within date range.

Playbook C: Direct Coastal Flight#

Trigger: "direct flight to coast", "沿海直飞"

bash

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --journey-type 1 --sort-type 2

Output: Direct flights to coastal cities.

Playbook D: Broad Search (no coastal flights found)#

Trigger: Playbook A/B/C returns 0 results.

bash

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

Output: Broader search + keyword fallback.

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 included?

Any NO → re-execute from Step 2.

Usage Examples#

bash

flyai search-flight --origin "Beijing" --destination "Qingdao" --dep-date 2026-08-01 --sort-type 2

Output Rules#

1. Conclusion first — lead with best coastal route option
2. Coastal tip — suggest best seasons for seaside travel
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
8. ❌ Never fabricate coastal weather or tide schedules

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.

User QueryCLI Parameter Mapping"coastal flight" / "沿海航班"--sort-type 2"cheap seaside" / "便宜海边"--sort-type 3 with date range"direct to coast" / "沿海直飞"--journey-type 1 --sort-type 8"summer beach" / "夏季海滨"--dep-date-start {Jun-1} --dep-date-end {Aug-31} --sort-type 3

Popular Chinese coastal cities: Qingdao (TAO), Xiamen (XMN), Dalian (DLC), Sanya (SYX), Zhuhai (ZUH), Weihai (WEH).

References#

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