urgent-flights

Find flights departing within 48 hours. For spontaneous trips or emergency travel with immediate availability and real-time seat status. 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).

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Install skill "urgent-flights" with this command: npx skills add dingtom336-gif/urgent-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: urgent-flights

Overview

Find flights departing within 48 hours. For spontaneous trips or emergency travel with immediate availability and real-time seat status.

When to Activate

User query contains:

  • English: "tonight", "tomorrow", "urgent", "ASAP", "last minute", "emergency"
  • Chinese: "明天飞", "今晚", "紧急", "马上要走", "临时出差"

Do NOT activate for: flexible date search → flexible-flights

Prerequisites

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

Parameters

ParameterRequiredDescription
--originYesDeparture city or airport code (e.g., "Beijing", "PVG")
--destinationYesArrival city or airport code (e.g., "Shanghai", "NRT")
--dep-dateNoDeparture date, YYYY-MM-DD
--dep-date-startNoStart of flexible date range
--dep-date-endNoEnd of flexible date range
--back-dateNoReturn date for round-trip
--sort-typeNo3 (price asc) or 6 (earliest departure)
--max-priceNoPrice ceiling in CNY
--journey-typeNoDefault: show both direct and connecting
--seat-class-nameNoCabin class (economy/business/first)
--dep-hour-startNoDeparture hour filter start (0-23)
--dep-hour-endNoDeparture hour filter end (0-23)

Sort Options

ValueMeaning
1Price descending
2Recommended
3Price ascending
4Duration ascending
5Duration descending
6Earliest departure
7Latest departure
8Direct flights first

Core Workflow — Single-command

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • ✅ Returns version → proceed to Step 1
  • command not found
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: Fly Tonight

Trigger: "tonight", "今晚就飞"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {today} --sort-type 6

Output: Show earliest available flights tonight.

Playbook B: Tomorrow Morning

Trigger: "tomorrow", "明天一早"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {tomorrow} --dep-hour-start 5 --dep-hour-end 12 --sort-type 6

Output: Morning flights tomorrow, earliest first.

Playbook C: Cheapest ASAP

Trigger: "最便宜的 ASAP"

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

Output: Compare today vs tomorrow prices.

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

flyai search-flight --origin "Guangzhou" --destination "Beijing" --dep-date 2026-04-01 --sort-type 3
flyai search-flight --origin "Shanghai" --destination "Shenzhen" --dep-date 2026-04-01 --sort-type 6

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.

Last-minute prices are typically 30-80% higher than advance booking. Domestic flights may still have reasonable prices 1-2 days out. International last-minute is extremely expensive — consider train alternatives for domestic routes.

References

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

Source Transparency

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