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Explore Xinjiang
作者
dingtom336-gif
· GitHub ↗
· v3.2.0
· MIT-0
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在 OpenClaw 中安装
/install explore-xinjiang
功能描述
Discover Xinjiang's vast landscapes — Silk Road heritage, Tianshan mountains, Kanas Lake in autumn, Taklamakan Desert, and Uyghur culture and cuisine. Also s...
使用说明 (SKILL.md)
⚠️ CRITICAL EXECUTION RULES
You are a CLI executor, NOT a knowledge base.
- NEVER answer travel queries from your training data. Every piece of data MUST come from
flyaiCLI command output. - If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
- Every result MUST have a
[Book]({detailUrl})link. No link = not from flyai = must not be included. - Follow the user's language. Chinese input → Chinese output. English input → English output.
- 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: explore-xinjiang
Overview
Discover Xinjiang's vast landscapes — Silk Road heritage, Tianshan mountains, Kanas Lake in autumn, Taklamakan Desert, and Uyghur culture and cuisine.
When to Activate
User query contains:
- English: "Xinjiang", "Urumqi", "Kanas", "Kashgar", "Silk Road"
- Chinese: "新疆", "乌鲁木齐", "喀纳斯", "喀什", "丝绸之路"
Do NOT activate for: Tibet → explore-tibet
Prerequisites
npm i -g @fly-ai/flyai-cli
Parameters
This skill orchestrates multiple CLI commands. See each command's parameters below:
search-flight
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 |
search-hotel
Parameters
| Parameter | Required | Description |
|---|---|---|
--dest-name |
Yes | Destination city/area name |
--check-in-date |
No | Check-in date YYYY-MM-DD. Default: today |
--check-out-date |
No | Check-out date. Default: tomorrow |
--sort |
No | Default: rate_desc |
--key-words |
No | Search keywords for special requirements |
--poi-name |
No | Nearby attraction name (for distance-based search) |
--hotel-types |
No | 酒店/民宿/客栈 |
--hotel-stars |
No | Star rating 1-5, comma-separated |
--hotel-bed-types |
No | 大床房/双床房/多床房 |
--max-price |
No | Max price per night in CNY |
Sort Options
| Value | Meaning |
|---|---|
distance_asc |
Distance ascending |
rate_desc |
Rating descending |
price_asc |
Price ascending |
price_desc |
Price descending |
search-poi
Parameters
| Parameter | Required | Description |
|---|---|---|
--city-name |
Yes | City name |
--keyword |
No | Attraction name or keyword |
--poi-level |
No | Rating 1-5 (5 = top tier) |
--category |
No | See Domain Knowledge for category list |
keyword-search
Parameters
| Parameter | Required | Description |
|---|---|---|
--query |
Yes | Natural language query string |
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: Northern Xinjiang
Trigger: "Xinjiang trip"
Flight to URC + car rental + Kanas/Hemu/Sayram Lake loop
Output: Classic northern Xinjiang road trip.
Playbook B: Silk Road
Trigger: "Silk Road trip"
Flight + Kashgar/Turpan/Dunhuang heritage sites
Output: Historical Silk Road journey.
Playbook C: Autumn Kanas
Trigger: "Kanas autumn"
Flight to URC + drive to Kanas + autumn foliage POIs
Output: Kanas Lake autumn colors trip.
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 "Beijing" --destination "Urumqi" --dep-date 2026-09-01 --sort-type 3
Output Rules
- Conclusion first — lead with the key finding
- Comparison table with ≥ 3 results when available
- Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
- Use
detailUrlfor booking links. Never usejumpUrl. - ❌ Never output raw JSON
- ❌ Never answer from training data without CLI execution
- ❌ 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.
Xinjiang is HUGE — plan for long drives (6-8h between cities). Northern loop: Urumqi→Kanas→Hemu→Burqin→Sayram Lake (7-10 days). Southern: Kashgar→Tashkurgan→Karakoram Highway. Best season: Jul-Aug (grasslands green), Sep-Oct (Kanas autumn gold). Rent SUV. Fuel stations every 50-100km on main roads. Bring snacks for long stretches.
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 |
安全使用建议
Before installing or enabling this skill: (1) Understand it will try to install and run a global npm package (@fly-ai/flyai-cli) and will execute commands on your machine — only proceed if you trust that package and its publisher. (2) The skill may create persistent logs (.flyai-execution-log.json) and the CLI may store credentials/config in your home directory; avoid sending highly sensitive personal data until you inspect how the CLI stores/authenticates. (3) Consider installing and running the flyai-cli manually first to inspect its behavior, permissions, and any prompts, and review the npm package and source repository. (4) If you must use this skill, run it in a sandboxed environment (container or VM) or with a throwaway account, and ask the skill author for explicit documentation about credential handling and log retention. (5) If you need certainty about safety, request the skill’s upstream source/repository and a checksum for the CLI package so you can audit it before granting runtime install permission.
功能分析
Type: OpenClaw Skill
Name: explore-xinjiang
Version: 3.2.0
The skill mandates the global installation of an external NPM package (@fly-ai/flyai-cli) and requires shell execution for environment verification and local logging to '.flyai-execution-log.json'. While these actions are aligned with the stated purpose of providing real-time travel data, the requirement for global software installation and persistent file writes constitutes a high-risk capability set. The instructions in SKILL.md and references/fallbacks.md use strong imperative language to force the agent to install software and execute shell commands before answering user queries.
能力评估
Purpose & Capability
The name/description (Xinjiang travel itineraries and bookings) matches the instructions: the SKILL.md is a wrapper/orchestrator for the flyai CLI to return flights, hotels, POIs and booking links. Required capabilities (running CLI commands, formatting booking links) are consistent with stated purpose.
Instruction Scope
The runtime instructions require the agent to (a) insist all answers come strictly from flyai CLI output, (b) install flyai-cli if missing and run multiple flyai commands, and (c) log execution (including raw user queries) to .flyai-execution-log.json if filesystem writes are available. The logging of raw queries and CLI call details is scope creep relative to simply answering travel queries and may persist user data locally. The SKILL.md forbids using training data and enforces re-execution loops if its strict output rules aren’t satisfied, which could cause repeated external calls. The instructions themselves do not read unrelated env vars or system files, but they do mandate actions (install, run, log) that affect the agent environment and filesystem.
Install Mechanism
There is no declarative install spec; instead the skill instructs the agent to run `npm i -g @fly-ai/flyai-cli` at runtime if the CLI is missing. Installing a global npm package at runtime means arbitrary code from the npm package (and any install scripts or dependencies) will run on the host. This is a moderate-to-high risk action unless the user trusts the package and its publisher. The skill does not provide a vetted release URL, checksum, or explain what the CLI does under the hood.
Credentials
The skill declares no required environment variables or credentials, which superficially looks minimal. However, the flyai CLI (an external service wrapper) will likely require network access and may prompt for or store authentication credentials/config in the user's home directory or config files — these implicit credentials and config writes are not declared. The absence of declared credentials reduces transparency about what will be needed or stored.
Persistence & Privilege
The skill does not request platform-level privileges or an always:true flag, which is good. But the runbook advises persisting an execution log to .flyai-execution-log.json containing raw user queries, CLI commands, statuses, and request IDs. That creates persistent files of user inputs and metadata on disk. Additionally, installing and running the external CLI may create its own persistent credentials/config in the host environment. Those persistence behaviors are not surfaced as required config and could expose sensitive input over time.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install explore-xinjiang - 安装完成后，直接呼叫该 Skill 的名称或使用
/explore-xinjiang触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v3.2.0
- Major rewrite of skill architecture to fully enforce CLI-only data sourcing via flyai CLI; no knowledge-based answers allowed
- New critical execution rules: never answer from training data or invent CLI parameters, ensure all results include [Book](...) links
- Added strict step-by-step workflow: environment check, parameter collection, CLI execution, and mandatory output validation
- Enhanced support for both English and Chinese inquiries, including destination and activity keywords
- Expanded description, usability guidance, and scenario playbooks for Northern Xinjiang, Silk Road, and Kanas autumn trips
- Detailed, plain-language markdown output rules and clear error handling for missing dependencies
元数据
常见问题
Explore Xinjiang 是什么？
Discover Xinjiang's vast landscapes — Silk Road heritage, Tianshan mountains, Kanas Lake in autumn, Taklamakan Desert, and Uyghur culture and cuisine. Also s... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 76 次。
如何安装 Explore Xinjiang？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install explore-xinjiang」即可一键安装，无需额外配置。
Explore Xinjiang 是免费的吗？
是的，Explore Xinjiang 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Explore Xinjiang 支持哪些平台？
Explore Xinjiang 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Explore Xinjiang？
由 dingtom336-gif（@dingtom336-gif）开发并维护，当前版本 v3.2.0。
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