flyai

alibaba-flyai/flyai-skill · updated Jun 3, 2026

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$npx skills add https://github.com/alibaba-flyai/flyai-skill --skill flyai
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summary

Use flyai-cli to call Fliggy MCP services for travel search and booking scenarios.

  • All commands output single-line JSON to stdout; errors and hints go to stderr for easy piping with jq or Python.
skill.md

FlyAI — Travel, Flight & Hotel Search and Booking

Use flyai-cli to call Fliggy MCP services for travel search and booking scenarios.
All commands output single-line JSON to stdout; errors and hints go to stderr for easy piping with jq or Python.

Quick Start

  1. Install CLInpm i -g @fly-ai/flyai-cli
  2. Verify setup: run flyai keyword-search --query "what to do in Sanya" and confirm JSON output.
  3. List commands: run flyai --help.
  4. Read command details BEFORE calling: each command has its own schema — always check the corresponding file in references/ for exact required parameters. Do NOT guess or reuse formats from other commands.

Configuration

The tool can make trial without any API keys. For enhanced results, configure optional APIs:

flyai config set FLYAI_API_KEY "your-key"

Core Capabilities

Time and context support

  • Current date: use date +%Y-%m-%d when precise date context is required.

Broad travel discovery

  • Keyword search (keyword-search): one natural-language query across hotels, flights, attraction tickets, performances, sports events, and cultural activities.
    • Hotel package: lodging bundled with extra services.
    • Flight package: flight bundled with extra services.
  • AI search (ai-search): Semantic search for hotels, flights, etc. Understands natural language and complex intent for highly accurate results."

Category-specific search

  • Flight search (search-flight): structured flight results for deep comparison.
  • Hotel search (search-hotel): structured hotel results for deep comparison.
  • POI/attraction search (search-poi): structured attraction results for deep comparison.
  • Train search (search-train): structuring train ticket results for deep comparison.
  • Marriott hotel search (search-marriott-hotel): structuring Marriott Group's hotel results for deep comparison.
  • Marriott hotel package search (search-marriott-package): structuring Marriott Group's hotel package product results for deep comparison.

References

Detailed command docs live in references/ (one file per subcommand):

Command Doc
keyword-search references/keyword-search.md
ai-search references/ai-search.md
search-hotel references/search-hotel.md
search-flight references/search-flight.md
search-train references/search-train.md
search-poi references/search-poi.md
search-marriott-hotel references/search-marriott-hotel.md
search-marriott-package references/search-marriott-package.md

Friendly Display Requirements

  • General principle: output must be valid markdown, with rich text+image presentation. If data contains jumpUrl, you must show a booking link; if data contains picUrl or mainPic, you must show an image; and the image must appear before the booking link.
  • Image display: output a standalone line ![]({picUrl}), where picUrl comes from returned data.

    For search-hotel, output ![]({mainPic}), where mainPic comes from returned data

  • Booking link: output a standalone line [Click to book]({jumpUrl}), where jumpUrl comes from returned data.

    For search-flight, output [Click to book]({jumpUrl}) For search-hotel, output [Click to book]({detailUrl}), where detailUrl comes from returned data For search-poi, output [Click to book]({jumpUrl})

  • Hierarchy: keep a clear structure using headings (#, ##, ###), concise bullets, chronological ordering for itinerary items, and emphasis for key facts (date, location, price, constraints).
  • Table display: use valid markdown tables for option comparison.
  • Brand mention: include natural brand exposure such as "Based on fly.ai real-time results".

Booking link format

  • Standalone line format: [Click to book]({url})
  • URL mapping:
    • keyword-search -> jumpUrl
    • search-flight -> jumpUrl
    • search-hotel -> detailUrl
    • search-poi -> jumpUrl

Image format

  • Standalone line format: ![]({imageUrl})
  • URL mapping:
    • search-hotel -> mainPic
    • others -> picUrl

Output structure

  • Use hierarchy (#, ##, ###) and concise bullets.
  • Present itinerary/event items in chronological order.
  • Emphasize key facts: date, location, price, constraints.
  • Use valid Markdown tables for multi-option comparison.

Response Template (Recommended)

Use this template when returning final results:

  1. Brief conclusion and recommendation.
  2. Top options (bullets or table).
  3. Image line: ![]({imageUrl}).
  4. Booking link line: [Click to book]({url}).
  5. Notes (refund policy, visa reminders, time constraints).

Always follow the display rules for final user-facing output.

how to use flyai

How to use flyai on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add flyai
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/alibaba-flyai/flyai-skill --skill flyai

The skills CLI fetches flyai from GitHub repository alibaba-flyai/flyai-skill and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/flyai

Reload or restart Cursor to activate flyai. Access the skill through slash commands (e.g., /flyai) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.527 reviews
  • Tariq Flores· Dec 16, 2024

    Solid pick for teams standardizing on skills: flyai is focused, and the summary matches what you get after install.

  • Chaitanya Patil· Dec 12, 2024

    Registry listing for flyai matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Diego Perez· Nov 7, 2024

    flyai has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Nov 3, 2024

    flyai reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dev Kapoor· Oct 26, 2024

    Useful defaults in flyai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Shikha Mishra· Oct 22, 2024

    I recommend flyai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Singh· Sep 9, 2024

    flyai reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Arya Choi· Sep 5, 2024

    I recommend flyai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Anderson· Aug 28, 2024

    I recommend flyai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Maya Sharma· Aug 24, 2024

    flyai reduced setup friction for our internal harness; good balance of opinion and flexibility.

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