メニュー
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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Write LinkedIn posts in Kasper Junge's distinctive Danish style. Use when asked to write LinkedIn content, social media posts, or project announcements in Kasper's voice. Triggers include "skriv i min stil", "LinkedIn post", "del dette på LinkedIn", or when user wants casual Danish tech communication.
Write high-quality technical blog posts with strong structure and clarity. Use when asked to write a blog post, technical article, tutorial, or guide about programming, software, APIs, tools, or technical concepts. Triggers include "write a blog post about...", "create a technical article", "help me write about [technical topic]", or requests for tutorials and how-to guides.
Generate comprehensive PR descriptions from git diffs. Use when creating or updating pull requests, when asked to write a PR description, or when the user says "pr", "/pr", or asks for help with their pull request. Analyzes staged/unstaged changes and commit history to produce thorough, reviewer-friendly descriptions.
Stay current with how OpenCode, OpenAI Codex, and Claude Code implement extensibility features (skills, slash commands, subagents, custom prompts). Use when comparing implementations across AI coding assistants, researching how a specific tool implements a feature, or syncing knowledge about agent extensibility patterns. Triggers include questions like "how does X implement skills?", "compare slash commands across tools", "what's the latest on Claude Code sub-agents?", or requests to understand agent extensibility approaches.
North star guidance for the agent-resources project. Use this skill to understand project context, get inspiration for development decisions, and resolve uncertainty about feature priorities or design choices. Reference when asking 'why does this project exist?' or 'what should we optimize for?'
Generate and maintain CHANGELOG.md following Keep a Changelog format. Use when creating a changelog, updating after releases, or when the user says "changelog", "/changelog", or asks to document project history. Analyzes git history and existing changelog to produce a properly formatted changelog.
SOC 職業分類に基づく
| 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. |
Query Danish real estate data via scripts/boliga.py.
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()
| 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 |
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
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