據 AlphaMoat 統計,截至 2026-09,Air France - KLM 累計下載 3,359 次、獲 2 個星標,在全部 5,078 個 AI 技能中排名第 3,358 位,在「資料分析」分類(399 個)中排名第 252 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 106 | 3359 | 2 | - |
| SkillHub ↗ | 106 | 3330 | 2 | — |
各平台的計數口徑不同,統計時間不一致。
主文描述按航班號和出發日期查詢狀態,監控有意義的延誤、登機口或機型變化,並可追蹤前序航段;還提供輪詢安排及可選的飛機註冊號、機艙新舊和 Wi‑Fi 資訊分析。卡片指出這些補充資訊和延誤啟發式判斷僅屬盡力估算,可能不代表最終執行狀態。API 憑據應限制許可權並妥善保管,重要出行決定需以航空公司或機場官方資訊核實。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3359 | — | 2 |
| 2026-08 | 3231 | +4.6% | 2 |
| 2026-07 | 3089 | +9.4% | 2 |
| 2026-06 | 2824 | — | 2 |
| 2026-03 | 2088 | — | 2 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: airfrance-afkl description: Track Air France flights using the Air France–KLM Open Data APIs (Flight Status). Use when the user gives a flight number/date (e.g., AF007 on 2026-01-29) and wants monitoring, alerts (delay/gate/aircraft changes), or analysis (previous-flight chain, aircraft tail number → cabin recency / Wi‑Fi). Also use when setting up or tuning polling schedules within API rate limits. --- # Air France (AFKL Open Data) flight tracker ## Quick start (one-off status) 1) Create an API key (and optional secret)
- Register on: https://developer.airfranceklm.com - Subscribe to the Open Data product(s) you need (at least **Flight Status API**) - Generate credentials (API key; some accounts also provide an API secret) 2) Provide API credentials (do not print them): - Preferred: env vars `AFKL_API_KEY` (and optional `AFKL_API_SECRET`) - Or files in your state dir (`CLAWDBOT_STATE_DIR` or `./state`): - `afkl_api_key.txt` (chmod 600) - `afkl_api_secret.txt` (chmod 600, optional) 2) Query flight status: - Run: `node skills/airfrance-afkl/scripts/afkl_flightstatus_query.mjs --carrier AF --flight 7 --origin JFK --dep-date 2026-01-29` Notes: - Send `Accept: */*` (API returns `application/hal+json`). - Keep within limits: **<= 1 request/sec**. When making multiple calls, sleep ~1100ms between them. ## Start monitoring (watcher) Use when the user wants proactive updates. - Run: `node skills/airfrance-afkl/scripts/afkl_watch_flight.mjs --carrier AF --flight 7 --origin JFK --dep-date 2026-01-29` What it does: - Fetches the operational flight(s) for the date window. - Emits a single message only when something meaningful changes. - Also follows the **previous-flight chain** (`flightRelations.previousFlightData.id`) up to a configurable depth and alerts if a previous segment is delayed/cancelled. Polling strategy (default): - >36h before departure: at most every **60 min** - 36h→12h: every **30 min** - 12h→3h: every **15 min** - 3h→departure: every **5–10 min** (stay under daily quota) - After departure: every **30 min** until arrival Implementation detail: run cron every 5–15 min, but the script self-throttles using a state file so it won’t hit the API when it’s not time. The watcher prints **no output** when nothing changed (so cron jobs can send only when stdout is non-empty). ## Input shorthand Preferred user-facing format: - `AF7 demain` / `AF7 jeudi` Interpretation rule: - The day always refers to the **departure date** (not arrival). Implementation notes: - Convert relative day words to a departure date in the user’s timezone unless the origin timezone is explicitly known. - When ambiguous (long-haul crossing midnight), prefer the departure local date at the origin if origin is known. (For scripts, still pass `--origin` + `--dep-date YYYY-MM-DD`.) ## Interpret “interesting” fields See `references/fields.md` for: - `flightRelations` (prev/next) - `places.*` (terminal/gate/check-in zone) - `times.*` (scheduled/estimated/latest/actual) - `aircraft` (type, registration) - “parking position” / stand-type hints (when present) - Wi‑Fi hints and how to reason about cabin recency ## Cabin recency / upgrade heuristics When aircraft registration is available: - Use tail number to infer **sub-fleet** and likely cabin generation. - If data suggests older config (or no Wi‑Fi), upgrading can be more/less worth it. Be conservative: - Open Data often doesn’t expose exact seat model; treat this as **best-effort**.
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用 Yahoo Finance 資料做股票與加密貨幣分析、組合跟蹤的技能。
管理本地自選股清單,並按代碼彙總同花順行情與近期表現的技能。
知了標訊:查詢和分析招標、中標、供應商與採購市場資訊。
用命令列監控部落格與 RSS/Atom 源的更新。
彙總 Codex 或 Claude 按模型計費的使用成本。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。