variflight-global-flight-fares

Variflight Global Flight Fares searches one-way flight fares from the Variflight ticket API by departure IATA city code, arrival IATA city code, and departure date.

3,891 stars

Best use case

variflight-global-flight-fares is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Variflight Global Flight Fares searches one-way flight fares from the Variflight ticket API by departure IATA city code, arrival IATA city code, and departure date.

Teams using variflight-global-flight-fares should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/variflight-global-flight-fares/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/arisefx/variflight-global-flight-fares/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/variflight-global-flight-fares/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How variflight-global-flight-fares Compares

Feature / Agentvariflight-global-flight-faresStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Variflight Global Flight Fares searches one-way flight fares from the Variflight ticket API by departure IATA city code, arrival IATA city code, and departure date.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Variflight Global Flight Fares

## Overview

Use the bundled script to query the Variflight ticket API and return one-way flight options for a single route and date.

## Workflow

1. Collect `dep`, `arr`, and `date`.
2. Validate `dep` and `arr` as three-letter IATA city codes and `date` as `YYYY-MM-DD`.
3. If the user gives city names instead of codes, infer only when the mapping is unambiguous; otherwise ask for the IATA codes.
4. Run `python3 scripts/query_flights.py --dep BJS --arr SHA --date 2026-04-21`.
5. Summarize the result with departure airport, arrival airport, times, duration, price, transfer info, and the flight tag text.

## Output Rules

- Treat API `code != 0` as a failure and surface the returned `msg`.
- Treat an empty `data.list` as a valid "no flights found" result.
- Use `--limit N` when the user only wants a subset of results.
- Use `--json` only when the user asks for raw payload data.
- Mention transfer flights separately from direct flights when summarizing.
- Do not ask the user to provide an API key for this skill.

## Script

- `scripts/query_flights.py` accepts:
  - `--dep`
  - `--arr`
  - `--date`
  - `--limit`
  - `--json`
- The script sends the fixed request parameter `flightNum=10`.

## Example

Run `python3 scripts/query_flights.py --dep BJS --arr SHA --date 2026-04-21 --limit 5` to fetch the first five displayed results for Beijing to Shanghai on April 21, 2026.

Related Skills

hna-666-flight-checker

3891
from openclaw/skills

查询海南航空 666Plus 权益可往返航班,自动遍历指定目的地

fly-flight

3891
from openclaw/skills

Query China domestic transport options through one skill. Use when a user wants domestic flight or high-speed rail results, departure and arrival times, stations or airports, airline or train details, or public reference fares from open web sources. Route the request by transport mode and return a shared outer response shape. 一个同时支持中国国内航班和高铁查询的统一 transport skill,可根据 mode 路由到航班或高铁 provider。

domestic-flight-search

3891
from openclaw/skills

Query China domestic flights with schedules, airline details, airport resolution, and Juhe reference prices. Use when a user asks for domestic China flight options, lowest fares, same-day route comparisons, airport-specific searches, or Chinese city/airport name to IATA resolution before flight lookup.

clawflight

3891
from openclaw/skills

Find flights with Starlink satellite WiFi. Filters to Starlink-equipped airlines only, ranks by WiFi score/price/jet lag, returns affiliate booking links. Use when searching for flights where you need to work on the plane.

flight-search

3891
from openclaw/skills

Search Google Flights for prices, times, and airlines. No API key required.

flight-requirement-review

3891
from openclaw/skills

机票产品需求评审 Agent。对前端、后端、运营类机票需求文档进行结构化评审打分,含独立的流程图治理评审(去If化、卫语句、决策表、FSM、泳道图、分层建模)。输入需求文档(markdown/图片/HTML),输出分项评分、评语和改进建议。使用场景:用户说"评审需求"、"审需求文档"、"给需求打分"、"需求评审"、"评审流程图"、"检查流程图"、"流程图打分"时触发。

free-stock-global-quotes-news

3891
from openclaw/skills

global-quotes: free stock quotes and news. Use when: user asks for global stock price, quote, ticker symbol, or company news for US (e.g. AAPL), HK (0700.HK), or China A-shares (000001.SZ, 600000.SS). Uses free sources: Yahoo/Finnhub for US, Tencent/EastMoney/AkShare for CN/HK.

airoom-ltd-global-finance-data-platform

3891
from openclaw/skills

No description provided.

airoom.ltd-Global-Finance-Data-Platform Product Manual

3891
from openclaw/skills

① Project Vision:

flyclaw (Flight N-in-1 Search Zero Login)

3891
from openclaw/skills

Multi-source flight aggregation — tickets, nonstop, round-trip, cabin. 航班机票/零登录/零API, zero login, zero account, zero API key. Pure Python, no browser. 机票价格/航班动态/直飞筛选.

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation