⚠️ 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 → 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: autumn-foliage-trip

Overview

Find the best fall foliage destinations — golden ginkgo avenues, red maple mountains, and amber larch forests with peak color timing and photography tips.

When to Activate

User query contains:

• English: "autumn leaves", "fall foliage", "maple", "ginkgo", "autumn colors"
• Chinese: "红叶", "秋天去哪", "赏秋", "银杏", "枫叶"

Do NOT activate for: cherry blossom → cherry-blossom-trip

Prerequisites

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

Parameters

Core Workflow — Multi-command orchestration

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: Kyoto Autumn

Trigger: "Kyoto autumn leaves"

Flight to Japan (Nov) + Kyoto hotel + maple temple POIs

Output: Kyoto fall foliage pilgrimage.

Playbook B: China Autumn

Trigger: "autumn leaves in China"

flyai search-poi --city-name "{city}" --keyword "红叶"

Output: Domestic fall foliage spots.

Playbook C: Ginkgo Avenue

Trigger: "ginkgo trees"

flyai search-poi --city-name "{city}" --keyword "银杏"

Output: Golden ginkgo locations.

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 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-poi --city-name "Kyoto" --keyword "红叶"

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.

Foliage calendar: Northeast China Sep-Oct, Beijing late Oct-mid Nov, Kyoto mid Nov-early Dec, Nanjing Nov (ginkgo), Jiuzhaigou Oct (multi-color). Photography tips: overcast days give richest colors, golden hour adds warmth. Famous foliage: Xiangshan (Beijing red leaves), Qixia Mountain (Nanjing), Nara (Japan deer + maple).

References