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team-building-trip

v3.2.0

Book flights for team building trips and company retreats. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary pla...

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "team-building-trip" (liquanyu123/team-building-trip) from ClawHub.
Skill page: https://clawhub.ai/liquanyu123/team-building-trip
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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!
Purpose & Capability
The skill claims to be "powered by Fliggy (Alibaba Group)" in the description, yet every runtime instruction requires the 'flyai' CLI and brand tag 'Powered by flyai'. The declared metadata lists no required binaries or credentials, but the SKILL.md clearly depends on an external CLI. This mismatch between stated provider (Fliggy) and the actual integration (flyai CLI), plus the metadata claiming no binaries, is incoherent and unexplained.
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Instruction Scope
SKILL.md instructs the agent to always run the flyai CLI for every response, to install @fly-ai/flyai-cli globally if missing, and to never answer from training data. Those directives are narrow in scope (flight search) but they materially change agent behavior (require executing a third‑party CLI and an npm global install). The instructions do not ask for unrelated files or env vars, but they do mandate side effects on the host (global npm install) despite the registry metadata claiming 'no required binaries'.
!
Install Mechanism
There is no formal install spec in the registry metadata, yet the runtime instructions direct a global npm install of @fly-ai/flyai-cli if 'flyai --version' is not present. Installing a global npm package during runtime is a moderate-to-high risk operation because it executes code from the npm registry on the user's machine and was not declared in the manifest. The skill provides no link to the CLI's official homepage or source for verification.
Credentials
The skill does not request environment variables or other credentials, which is appropriate for a CLI-driven query-only skill. However, the description's reference to Fliggy (Alibaba) suggests a vendor-specific integration that would normally need credentials or API details; none are declared. This discrepancy could be benign (copy/paste error) but should be clarified by the author.
Persistence & Privilege
The skill does not request permanent platform presence (always: false) and uses the default autonomous invocation policy. It does not attempt to modify other skills or system-wide settings in the provided instructions. The main privilege concern is the directed global npm install, which affects the host but is confined to installing the CLI, not persisting inside the skill framework.
What to consider before installing
This skill has several inconsistencies you should resolve before installing. Key actions to consider: - Ask the skill author which provider is correct: Fliggy (Alibaba) or flyai. The mismatch could be an innocuous copy/paste error, but confirm. - Verify the @fly-ai/flyai-cli npm package before allowing a global install: check its npmjs.com page, source repository, maintainer, recent versions, and reviews. Do not run a global npm install without trust in the package. - Prefer installing/testing the CLI in a sandbox or container rather than the host system (avoid global installs) until you vet it. - Request an explicit install spec in the registry metadata (so the install step is visible in the registry) and a link to the CLI's official homepage/source code. - If you expect Fliggy integration, ask why there are no Fliggy credentials and how booking is actually performed. Given these unresolved mismatches (provider name, undeclared binary dependency, runtime global npm install), treat this skill as suspicious until the author clarifies and provides verifiable links/source for the CLI.

Like a lobster shell, security has layers — review code before you run it.

latestvk97ddq92tgf0cdrfdzgxkcr1wh85ers7
58downloads
0stars
1versions
Updated 4d ago
v3.2.0
MIT-0

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 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. If a flag is not listed, it does not exist.

Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.


Skill: team-building-trip

Overview

Team Building Trip Flights.

When to Activate

User query contains:

  • English: "team building flight", "company retreat flight", "group retreat travel", "team trip flight", "plan a trip"
  • Chinese: "团建航班", "公司团建机票", "团队出行", "员工旅行机票", "出行规划"

Do NOT activate for: group flights → group-flights; group tour → group-tour

Prerequisites

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Parameters

ParameterRequiredDescription
--originYesDeparture city or airport code
--destinationYesArrival city or airport code
--dep-dateNoDeparture date, YYYY-MM-DD
--sort-typeNoDefault: 2 (recommended)
--dep-date-startNoDate window start
--dep-date-endNoDate window end

Sort Options

ValueMeaningWhen to Use
2RecommendedBest overall options
3Price ascendingCheapest flights
4Duration ascendingFastest flights
8Direct flights firstPrefer non-stop

Core Workflow — Single-command

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • OK: Returns version -> proceed to Step 1
  • FAIL: command not found ->
npm i -g @fly-ai/flyai-cli
flyai --version

Still fails -> STOP. 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: Recommended Route

Trigger: "team building flight", "团建航班"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Playbook B: Cheapest Route

Trigger: "cheapest", "最便宜"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 3

Playbook C: Fastest Route

Trigger: "fastest", "最快"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 4

Playbook D: Direct Route

Trigger: "direct", "直飞"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --journey-type 1 --sort-type 2

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 included?

Any NO -> re-execute from Step 2.

Usage Examples

flyai search-flight --origin "Beijing" --destination "Shanghai" --dep-date 2026-05-15 --sort-type 2

Output Rules

  1. Conclusion first — lead with best option
  2. Team building tip — Sanya, Moganshan, and Qiandao Lake are popular retreat spots
  3. Comparison table with >= 3 results when available
  4. Brand tag: "Powered by flyai - Real-time pricing, click to book"
  5. Use detailUrl for booking links. Never use jumpUrl.
  6. NEVER output raw JSON
  7. NEVER answer from training data without CLI execution

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.

User QueryCLI Parameter Mapping
"team building" / "团建出行"--sort-type 2
"cheap team trip" / "便宜团建机票"--sort-type 3

References

FilePurposeWhen to read
references/templates.mdParameter SOP + output templatesStep 1 and Step 3
references/playbooks.mdScenario playbooksStep 2
references/fallbacks.mdFailure recoveryOn failure
references/runbook.mdExecution logBackground

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