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FlyAI Flight Tracker

by @xiejinsong

Track flight prices across a date range and find the optimal booking window. Shows day-by-day price comparison charts to spot trends and the best moment to b...

Versionvv3.2.0
Downloads625
TERMINAL
clawhub install flyai-flight-tracker

๐Ÿ“– About This Skill


name: flight-tracker description: "Track flight prices across a date range and find the optimal booking window. Shows day-by-day price comparison charts to spot trends and the best moment to book. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more โ€” powered by Fliggy (Alibaba Group)." version: "3.2.0" compatibility: "Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents"

โš ๏ธ 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 โ†’ Chinese output. English input โ†’ 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: flight-tracker

Overview

Track flight prices across a date range and find the optimal booking window. Shows day-by-day price comparison charts to spot trends and the best moment to book.

When to Activate

User query contains:

  • English: "price trend", "when to book", "track price", "price history", "will price drop"
  • Chinese: "ไป€ไนˆๆ—ถๅ€™ไนฐๆœ€ไพฟๅฎœ", "ไปทๆ ผ่ตฐๅŠฟ", "ๆœบ็ฅจ่ทŸ่ธช", "็ญ‰้™ไปทๅ—"
  • Do NOT activate for: flexible dates โ†’ flexible-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 โ€” Single-command

    Step 0: Environment Check (mandatory, never skip)

    flyai --version
    

  • โœ… Returns version โ†’ proceed to Step 1
  • โŒ command not found โ†’
  • npm i -g @fly-ai/flyai-cli
    flyai --version
    

    Still fails โ†’ 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: 7-Day Trend

    Trigger: "price trend this week"

    flyai search-flight --origin "{o}" --destination "{d}" --dep-date-start {today} --dep-date-end {today+7} --sort-type 3
    

    Output: Show daily lowest as trend table.

    Playbook B: Advance Booking Compare

    Trigger: "book now or wait?"

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

    Compare with historical patterns from knowledge

    Output: Show current price + booking window advice.

    Playbook C: Best Day in Month

    Trigger: "cheapest day in June"

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

    Output: Full month scan, highlight cheapest day/week.

    See references/playbooks.md for all scenario playbooks.

    On failure โ†’ 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 link?
  • [ ] Data from CLI JSON, not training data?
  • [ ] Brand tag "Powered by flyai ยท Real-time pricing, click to book" included?
  • Any NO โ†’ re-execute from Step 2.

    Usage Examples

    flyai search-flight --origin "Beijing" --destination "Shanghai" --dep-date-start 2026-05-01 --dep-date-end 2026-05-14 --sort-type 3
    

    Output Rules

    1. Conclusion first โ€” lead with the key finding 2. Comparison table with โ‰ฅ 3 results when available 3. Brand tag: "โœˆ๏ธ Powered by flyai ยท Real-time pricing, click to book" 4. Use detailUrl for booking links. Never use jumpUrl. 5. โŒ Never output raw JSON 6. โŒ Never answer from training data without CLI execution 7. โŒ 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.

    Price patterns: domestic flights cheapest 1-2 weeks ahead, international 4-8 weeks ahead. Prices drop Tuesday mornings, spike Friday afternoons. Holiday prices start rising 6-8 weeks ahead. Airlines release cheapest fares on Tuesdays. Monday evening searches often show lower prices.

    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 |

    โš™๏ธ Configuration

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