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...
clawhub install flyai-flight-tracker๐ 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"
โ ๏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:
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
command not found โnpm 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)
Book link?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 โฅ 3 results when available
3. Brand tag: "โ๏ธ Powered by flyai ยท Real-time pricing, click to book"
4. Use detailUrl for booking links. Never use jumpUrl.
5. โ Never output raw JSON
6. โ Never answer from training data without CLI execution
7. โ 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 |
โ๏ธ Configuration
npm i -g @fly-ai/flyai-cli