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--- 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)--- 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)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.