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Explore Yunnan

by dingtom336-gif · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install explore-yunnan
Description
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...
README (SKILL.md)

⚠️ 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]({detailUrl}) 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: 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

  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.

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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install explore-yunnan
  3. After installation, invoke the skill by name or use /explore-yunnan
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug explore-yunnan
Version 3.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Explore Yunnan?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.

How do I install Explore Yunnan?

Run "/install explore-yunnan" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Explore Yunnan free?

Yes, Explore Yunnan is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Explore Yunnan support?

Explore Yunnan is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Explore Yunnan?

It is built and maintained by dingtom336-gif (@dingtom336-gif); the current version is v3.2.0.

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