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Explore Yunnan
作者
dingtom336-gif
· GitHub ↗
· v3.2.0
· MIT-0
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在 OpenClaw 中安装
/install explore-yunnan
功能描述
Explore Yunnan's diversity — Kunming's spring city, Lijiang's ancient town, Dali's Erhai Lake, Shangri-La's Tibetan culture, and Xishuangbanna's tropical rai...
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-yunnan
Overview
Explore Yunnan's diversity — Kunming's spring city, Lijiang's ancient town, Dali's Erhai Lake, Shangri-La's Tibetan culture, and Xishuangbanna's tropical rainforest.
When to Activate
User query contains:
- English: "Yunnan", "Kunming", "Lijiang", "Dali", "Shangri-La"
- Chinese: "云南", "昆明", "丽江", "大理", "香格里拉"
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: Classic Yunnan
Trigger: "Yunnan trip"
Flight to KMG + multi-city: Kunming→Dali→Lijiang→Shangri-La
Output: Classic Yunnan route.
Playbook B: Dali-Lijiang
Trigger: "Dali and Lijiang"
Flight + Dali/Lijiang hotels + ancient town/Erhai/Jade Dragon POIs
Output: Most popular Yunnan segment.
Playbook C: Xishuangbanna
Trigger: "tropical Yunnan"
Flight to JHG + rainforest + Dai culture
Output: Tropical southern Yunnan.
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 "Shanghai" --destination "Kunming" --dep-date 2026-04-01 --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.
Yunnan route: Kunming→Dali (5h train)→Lijiang (2h bus)→Shangri-La (4h bus). Altitude: Kunming 1900m, Lijiang 2400m, Shangri-La 3300m — acclimatize gradually. Best seasons: Mar-May (spring flowers), Sep-Nov (clear skies). 25 ethnic minorities — rich cultural diversity. Erhai Lake best by e-bike. Jade Dragon Snow Mountain needs warm clothes even in summer.
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
What to consider before installing: 1) This skill is an instruction-only wrapper that requires the external flyai CLI; if not present it tells the agent to run 'npm i -g @fly-ai/flyai-cli' (a global npm install that may require elevated permissions). Review the npm package/@fly-ai/flyai-cli source before installing and prefer installing in a controlled environment if you have concerns. 2) The skill will contact the flyai service (Fliggy/Alibaba-backed) via the CLI to fetch real-time pricing and booking links — network calls to that service are expected. 3) The skill logs execution metadata (including your original query and CLI commands) to .flyai-execution-log.json if filesystem writes are available; this is persistent local data and may contain user-provided inputs. 4) No credentials or environment variables are requested by the skill itself. 5) If you need stricter privacy or avoid installing new CLIs globally, do not install/run the flyai CLI and expect the skill to refuse to answer (it explicitly forbids falling back to training-data answers). If you want extra caution: inspect the npm package, run the CLI in an isolated/container environment, or request the skill author provide a signed/release-hosted CLI binary before installing.
功能分析
Type: OpenClaw Skill
Name: explore-yunnan
Version: 3.2.0
The skill requires the agent to perform a global installation of an external NPM package (@fly-ai/flyai-cli) and execute multiple shell commands to fetch travel data. It also includes instructions in 'references/runbook.md' to log execution details to a hidden local file (.flyai-execution-log.json). While these actions are aligned with the stated purpose of providing real-time travel information, the requirement for high-privilege system modifications and direct shell execution constitutes a significant attack surface and high-risk behavior in an automated agent environment.
能力评估
Purpose & Capability
Name/description (Yunnan travel, booking, itinerary) align with the instructions, which consistently require calling the flyai CLI for flights/hotels/POIs. There are no unrelated env vars, binaries, or config paths declared.
Instruction Scope
SKILL.md tightly constrains the agent to obtain all data from the flyai CLI and forbids using training data. It also requires verifying/installing the CLI and performing self-tests (every result must include a [Book]({detailUrl}) link). The runbook suggests persisting an execution log (.flyai-execution-log.json) including the raw user query and CLI calls if filesystem writes are available — this is within scope for a wrapper skill but is a privacy/persistence consideration the user should know about.
Install Mechanism
There is no platform install spec in the registry, but SKILL.md instructs installing @fly-ai/flyai-cli via 'npm i -g @fly-ai/flyai-cli' when flyai is missing. Installing a third-party CLI from npm is expected for this skill but carries the usual risk of running code from the npm package; no arbitrary URL downloads or extract steps are present.
Credentials
The skill requests no credentials or env vars. The only notable data access is writing an execution log (structured JSON) to the local working directory if writable; no external secrets are requested or stored by the skill itself.
Persistence & Privilege
The skill does not request permanent platform privileges (always:false) and cannot autonomously escalate that setting. It does instruct writing an execution log to a local file if possible, which gives it modest persistence on the host filesystem but limited to its own log file and not to other skills or system-wide configuration.
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-yunnan - 安装完成后，直接呼叫该 Skill 的名称或使用
/explore-yunnan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
Explore-Yunnan v3.2.0 introduces strict execution and formatting rules for travel bookings, ensuring all results are from the latest flyai CLI output.
- Enforces CLI-only data: Never answer using training data; fetch all information via flyai commands.
- New critical rules: Validate every result includes a `[Book]({detailUrl})` link, or re-execute.
- Multi-command orchestration: Guides step-by-step workflow from environment check to output validation.
- Comprehensive parameter tables and detailed playbooks for flights, hotels, and attractions.
- Output enhancements: Lead with conclusions, require comparison tables, and enforce "Powered by flyai" branding.
元数据
常见问题
Explore Yunnan 是什么？
Explore Yunnan's diversity — Kunming's spring city, Lijiang's ancient town, Dali's Erhai Lake, Shangri-La's Tibetan culture, and Xishuangbanna's tropical rai... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 101 次。
如何安装 Explore Yunnan？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install explore-yunnan」即可一键安装，无需额外配置。
Explore Yunnan 是免费的吗？
是的，Explore Yunnan 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Explore Yunnan 支持哪些平台？
Explore Yunnan 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 Yunnan？
由 dingtom336-gif（@dingtom336-gif）开发并维护，当前版本 v3.2.0。
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