How do I install the Midforecast skill?

Run npx skillmds@latest add seokhoonj/midforecast in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Midforecast safe to use?

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Which AI agents work with Midforecast?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Midforecast free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Midforecast?

seokhoonj (@seokhoonj) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Midforecast by seokhoonj — Agent Skill

Name: Midforecast
Author: seokhoonj

Midforecast

Fetch 기상청 중기예보 (KMA medium-range forecast, days 4-10) from data.go.kr (service 1360000, MidFcstInfoService) -- 중기육상예보 (`land`: 강수확률·날씨) and 중기기온예보 (`temperature`: 최저·최고기온) for a 예보구역 code. Holds no logic of its own -- it calls the pydatagokr package's CLI (`datagokr midforecast`) and shows the result to the user. Trigger phrases: 중기예보, 주간예보, 4일후, 일주일 날씨, 주간 기온, 중기기온, medium-range forecast, weekly forecast, 10-day forecast.

seokhoonj dba2b1a 3.6 KB Updated Sep 17, 2026

File contents

datagokr — 기상청 중기예보

Fetch the 4-to-10-day outlook for a forecast region. Where the weather skill covers the next ~3 days on a 5km grid, this covers days 4-10 for a coarser 예보구역 named by a region code. The rows are wide -- one row per region, a column per forecast day:

operation	예보	clean columns
`land`	중기육상예보	`regid`, `precip_prob_4am`..`precip_prob_10` (강수확률 %, int), `sky_4am`..`sky_10` (날씨 문구)
`temperature`	중기기온예보	`regid`, `temp_min_4`..`temp_min_10`, `temp_max_4`..`temp_max_10` (℃, int)

Days 4-7 split into morning/afternoon (_4am/_4pm .. _7am/_7pm); days 8-10 are single (_8.._10). A day the announcement does not cover is None (the 1800 announcement starts at day 5, the 0600 one reaches day 4).

Prerequisite

pipx install pydatagokr      # or: pip install pydatagokr

Never print the key value (the DATAGOKR_API_KEY env var or credentials.json) to output, logs, or a summary -- if you need to check which form it is (encoding vs decoding), ask the user.

A data.go.kr decoding key must be configured (env DATAGOKR_API_KEY or ~/.config/pydatagokr/credentials.json), and the 중기예보 dataset (service 1360000, MidFcstInfoService) applied for (활용신청) on that account.

Running

datagokr midforecast land        --regid REGID --time-forecast YYYYMMDDHHMM [--json]
datagokr midforecast temperature --regid REGID --time-forecast YYYYMMDDHHMM [--json]

--regid: the 예보구역코드. 육상 uses a 광역 code (11B00000 서울/인천/경기, 11H20000 부산/울산/경남, ...); 기온 uses a 도시 code (11B10101 서울, 11H20201 부산, ...). Ask if unsure; do not guess a code.
--time-forecast: the 발표시각 as YYYYMMDDHHMM, issued at 0600 and 1800 (e.g. 202608111800).

Procedure

Resolve the region code for the operation with the offline resolver -- the 육상 광역 and 기온 도시 code sets differ, so use datagokr land-region 서울 -> 11B00000 for land, or datagokr temp-region 서울 -> 11B10101 for temperature. Pick a recent base-time (today or yesterday at 0600/1800).

Run.

datagokr midforecast land --regid 11B00000 --time-forecast 202608111800

Add --json for machine-readable data.

Relay the result. Read the day columns in order; a None day was outside the announcement's range.
Error handling. A one-line datagokr: <message> on stderr:
- a [30]/[20] auth error -> the key is wrong, is the encoding form, or service 1360000 is not applied for yet.
- an empty result usually means a base-time that is not a real 0600/1800 announcement.

What this skill does not do

It does not re-implement fetching or parsing (the package does); it always calls the CLI.
It resolves a place name to a REGID via datagokr land-region / datagokr temp-region; it does not geocode a vague or free-form location.
It does not cover 초단기/단기 (next ~3 days) -- that is the weather skill.

---name: midforecastdescription: Fetch 기상청 중기예보 (KMA medium-range forecast, days 4-10) from data.go.kr (service 1360000, MidFcstInfoService) -- 중기육상예보 (`land`: 강수확률·날씨) and 중기기온예보 (`temperature`: 최저·최고기온) for a 예보구역 code. Holds no logic of its own -- it calls the pydatagokr package's CLI (`datagokr midforecast`) and shows the result to the user. Trigger phrases: 중기예보, 주간예보, 4일후, 일주일 날씨, 주간 기온, 중기기온, medium-range forecast, weekly forecast, 10-day forecast.---# datagokr — 기상청 중기예보Fetch the 4-to-10-day outlook for a forecast region. Where the `weather` skill covers thenext ~3 days on a 5km grid, this covers days 4-10 for a coarser 예보구역 named by a`region` code. The rows are **wide** -- one row per region, a column per forecast day:| operation | 예보 | clean columns ||---|---|---|| `land` | 중기육상예보 | `regid`, `precip_prob_4am`..`precip_prob_10` (강수확률 %, int), `sky_4am`..`sky_10` (날씨 문구) || `temperature` | 중기기온예보 | `regid`, `temp_min_4`..`temp_min_10`, `temp_max_4`..`temp_max_10` (℃, int) |Days 4-7 split into morning/afternoon (`_4am`/`_4pm` .. `_7am`/`_7pm`); days 8-10 aresingle (`_8`..`_10`). A day the announcement does not cover is `None` (the 1800 announcementstarts at day 5, the 0600 one reaches day 4).## Prerequisite```pipx install pydatagokr # or: pip install pydatagokr```**Never print the key value** (the `DATAGOKR_API_KEY` env var or `credentials.json`) to output, logs, or a summary -- if you need to check which form it is (encoding vs decoding), ask the user.A data.go.kr **decoding** key must be configured (env `DATAGOKR_API_KEY` or`~/.config/pydatagokr/credentials.json`), and the 중기예보 dataset (service 1360000,MidFcstInfoService) applied for (활용신청) on that account.## Running```datagokr midforecast land --regid REGID --time-forecast YYYYMMDDHHMM [--json]datagokr midforecast temperature --regid REGID --time-forecast YYYYMMDDHHMM [--json]```- `--regid`: the 예보구역코드. 육상 uses a 광역 code (`11B00000` 서울/인천/경기, `11H20000` 부산/울산/경남, ...); 기온 uses a 도시 code (`11B10101` 서울, `11H20201` 부산, ...). Ask if unsure; do not guess a code.- `--time-forecast`: the 발표시각 as `YYYYMMDDHHMM`, issued at 0600 and 1800 (e.g. `202608111800`).## Procedure1. **Resolve the region code** for the operation with the offline resolver -- the 육상 광역 and 기온 도시 code sets differ, so use `datagokr land-region 서울` -> `11B00000` for `land`, or `datagokr temp-region 서울` -> `11B10101` for `temperature`. Pick a recent `base-time` (today or yesterday at 0600/1800).2. **Run.** ```bash datagokr midforecast land --regid 11B00000 --time-forecast 202608111800 ``` Add `--json` for machine-readable data.3. **Relay the result.** Read the day columns in order; a `None` day was outside the announcement's range.4. **Error handling.** A one-line `datagokr: <message>` on stderr: - a `[30]`/`[20]` auth error -> the key is wrong, is the *encoding* form, or service 1360000 is not applied for yet. - an empty result usually means a `base-time` that is not a real 0600/1800 announcement.## What this skill does not do- It does not re-implement fetching or parsing (the package does); it always calls the CLI.- It resolves a place name to a REGID via `datagokr land-region` / `datagokr temp-region`; it does not geocode a vague or free-form location.- It does not cover 초단기/단기 (next ~3 days) -- that is the `weather` skill.

Frequently asked questions