boliga-api
by kasperjunge
My collection of Claude Code skills, slash commands and subagents that can be installed locally using uvx add-skill/add-command/add-agent: https://github.com/kasperjunge/agent-resources-project
Manusで実行SKILL.md
name: boliga-api description: Query Danish real estate data from Boliga.dk as pandas DataFrames. Use when the user asks about Danish property prices, real estate searches, market statistics, or housing analysis in Denmark.
Boliga API
Query Danish real estate data via scripts/boliga.py.
Usage
import sys
sys.path.insert(0, '<skill-path>/scripts')
from boliga import get_properties, Municipality, PropertyType, SortOrder
# Search properties
df = get_properties(
municipality=Municipality.ROSKILDE,
property_type=PropertyType.TERRACED,
price_max=5000000
)
# Analyze with pandas
avg_sqm = df['sqm_price'].mean()
df.groupby('zip_code')['price'].median()
Functions
| Function | Returns | Description |
|---|---|---|
get_properties(...) | DataFrame | Active listings with filters |
get_sold_properties(...) | DataFrame | Historical sales |
get_estate_details(id) | dict | Property details |
get_property_history(id) | DataFrame | Property sale history |
get_market_statistics() | dict | National price trends |
search_location(query) | DataFrame | Location autocomplete |
get_new_construction(...) | DataFrame | New construction projects |
Key Parameters
Municipalities: Municipality.COPENHAGEN, ROSKILDE, AARHUS, ODENSE, FREDERIKSBERG, GENTOFTE
Property types: PropertyType.VILLA, TERRACED, APARTMENT, HOLIDAY, COOPERATIVE, FARM
Sort: SortOrder.PRICE_ASC, PRICE_DESC, SQM_PRICE_ASC, DAYS_FOR_SALE_ASC
DataFrame Columns
get_properties() returns: id, street, city, zip_code, price, sqm_price, size, rooms, build_year, property_type, days_for_sale, lot_size, energy_class, lat, lon, views
スコア
総合スコア
リポジトリの品質指標に基づく評価
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
レビュー
レビュー機能は近日公開予定です