---
name: kma-weather-4acb397b9f22
description: KMA short-term forecast API - ultra-short-term observation/forecast, short-term forecast
version: 2.2.0
author: chumjibot
created: 2026-02-10
updated: 2026-02-19
tags: [weather, korea, openapi, data.go.kr]
connectors: [~~weather, ~~air, ~~notify]
---

# KMA Weather Forecast Skill

Korea Meteorological Administration short-term forecast API + AirKorea air quality integration.

## Overview

| Key | Value |
|-----|-------|
| Provider | KMA (Korea Meteorological Administration) |
| Service ID | 15084084 |
| Auth | `~/.config/data-go-kr/api_key` |
| Endpoint | `https://apis.data.go.kr/1360000/VilageFcstInfoService_2.0` |
| Playbook | `playbook.md` |

## Scripts

```
scripts/
├── weather.sh             → Weather query (ncst/fcst/short)
├── morning_briefing.sh    → Morning briefing (weather + air quality)
└── grid_convert.py        → Lat/lon → grid coordinate conversion
```

## Workflow

### Step 1: Identify location & time
- "서울 날씨" → Seoul Jongno-gu (nx=60, ny=127)
- "내일 날씨" → short-term forecast (short)
- "지금 비 와?" → ultra-short-term observation (ncst)
- Refer to `playbook.md` for default location

### Step 2: Fetch weather data
- Current: `weather.sh ncst [nx] [ny]`
- 6-hour: `weather.sh fcst [nx] [ny]`
- 3-day: `weather.sh short [nx] [ny]`

### Step 3: Air quality integration (~~air)
- Fetch PM data via AirKorea skill
- `skills/airkorea-air-quality/scripts/air_quality.sh [station]`

### Step 4: Structured response using output template

## Output Template

```markdown
## 🌤️ [Location] Weather

### Current
🌡️ Temp: X°C (Feels like X°C)
💧 Humidity: X% | 🌬️ Wind: Xm/s
🌧️ Precip: [None/Rain/Snow]

### Today's Forecast
☀️ High X°C / Low X°C
🌧️ Precip probability: X%
🌫️ PM2.5: [Good/Moderate/Bad/Very Bad] (X㎍/㎥)

### 💡 One-liner
[Bring umbrella / Wear mask / Great day to go out]
```

## API Types

| API | Command | Description | Update Cycle |
|-----|---------|-------------|-------------|
| Ultra-short obs | `ncst` | Current observation | Hourly |
| Ultra-short fcst | `fcst` | 6hr forecast | Every 30min |
| Short-term fcst | `short` | 3-day hourly | 8x/day |

## Key Grid Coordinates

| Location | nx | ny |
|----------|----|----|
| Seoul Jongno | 60 | 127 |
| Seoul Gangnam | 61 | 126 |
| Busan | 98 | 76 |
| Daegu | 89 | 90 |
| Incheon | 55 | 124 |
| Daejeon | 67 | 100 |
| Jeju | 52 | 38 |

## Codes

### Sky (SKY)
`1`: Clear ☀️ | `3`: Mostly cloudy ⛅ | `4`: Overcast ☁️

### Precipitation (PTY)
`0`: None | `1`: Rain 🌧️ | `2`: Rain/Snow 🌧️❄️ | `3`: Snow ❄️ | `4`: Shower 🌦️

## base_time Rules

| API | Release time | Queryable |
|-----|-------------|-----------|
| Ultra-short obs | Every hour | +10min |
| Ultra-short fcst | Every 30min | +10min |
| Short-term fcst | 02,05,08,11,14,17,20,23h | +10min |

## Connectors

| Placeholder | Purpose | Current Tool |
|-------------|---------|-------------|
| `~~weather` | Weather API | KMA Short-term Forecast |
| `~~air` | Air quality | AirKorea |
| `~~notify` | Notification | Telegram |

## Intent Router

| Intent | Trigger Examples | Strategy |
|--------|-----------------|----------|
| Quick Check | "오늘 날씨 어때?", "지금 비 와?", "기온 몇 도?" | `ncst` (현재 관측) + `fcst` (3시간 예보) → 간단 요약 |
| Daily Forecast | "내일 비 와?", "주말 날씨", "모레 눈 올까?" | `short` (단기예보 3일) → 시간대별 상세 |
| Morning Briefing | "아침 날씨 브리핑" | `morning_briefing.sh` → 날씨+대기질 통합 |

**Routing logic:** 현재/지금 → Quick Check, 내일/모레/주말 → Daily Forecast, 브리핑 → Morning Briefing

## Cross-Skill Integration

| Trigger | Target Skill | Integration |
|---------|-------------|-------------|
| 날씨 응답 시 항상 | `airkorea-air-quality` | PM2.5 수치를 날씨 응답에 포함 (Output Template 참조) |
| 미세먼지 나쁨 이상 | `airkorea-air-quality` | "마스크 챙기세요" 팁 추가 |
| 비/눈 예보 시 | — | "우산 챙기세요" 자동 팁 |

## Notes
1. Uses grid coordinate system (not lat/lon) → use `grid_convert.py`
2. Query after release time + 10 minutes
3. Short-term forecast returns large data → set sufficient `numOfRows`

---
*Cowork architecture v2.2 — 🦞 chumjibot (2026-02-19)*

## 🔧 Setup (공공데이터 포털 API)

1. [data.go.kr](https://www.data.go.kr) 회원가입
2. 로그인 → 마이페이지 → **일반 인증키(Decoding)** 복사
3. API 키 저장:
   ```bash
   mkdir -p ~/.config/data-go-kr
   echo "YOUR_API_KEY" > ~/.config/data-go-kr/api_key
   ```
4. 아래 서비스 **활용신청** 후 사용 (자동승인)
   - [기상청 단기예보](https://www.data.go.kr/data/15084084/openapi.do) (15084084)


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/kma-weather-korea/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/kma-weather-korea/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Marketing, Product Management
Roles: Data Analyst, Growth Marketer, Product Manager
Specialties: API
Tools: Data.Go.Kr, Telegram
Country applicability: South Korea
Classification basis: Source catalog labels
Instruction SHA-256: 238e6674f50d688a642b02e922a0af6187c9e6431a8db83061e35dff95bb19de