菜单
invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Handles reading, populating, and saving .docx files using the python-docx library. Use this skill for any tasks involving template filling or modifying Word documents.
Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
This skill includes search capability in 13F, such as fuzzy search a fund information using possibly inaccurate name, or fuzzy search a stock cusip info using its name.
A comprehensive PDF toolkit for advanced data extraction and document analysis. Beyond text and table extraction, this tool is optimized for visual layout reasoning: it can map graphical elements to coordinates (such as determining appointment times based on their position on a calendar timeline) and identify color-coded features (e.g., distinguishing high-priority blocks from flexible blue-colored entries). Use this skill when the task requires interpreting schedule layouts, calculating durations from visual spans, or resolving scheduling conflicts based on the spatial and color properties of a PDF document.
Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes/scales, legends, tooltips, or data-driven SVG output.
Count occurrences of an object in the image using computer vision algorithm.
| name | bundled-dataset-search-tool |
| description | invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset. |
This skill provides six tools for searching the bundled dataset, always first use these tool scripts than writing code by yourself.
before using the tools, please install:
pip install pandas numpy requests
Find accommodations for a specific city. The bundled script is located at scripts/search_accommodations.py. An Example:
from search_accommodations import Accommodations
acc = Accommodations()
result = acc.run("Seattle")
print(result)
Query attractions for a given city. The bundled script is located at scripts/search_attractions.py. An Example:
from search_attractions import Attractions
attractions = Attractions()
print(attractions.run("New York"))
Map states to their cities from the background text file. The bundled script is located at scripts/search_cities.py. An Example:
from search_cities import Cities
cities = Cities()
print(cities.run("California"))
Look up distance/duration between an origin and destination. The bundled script is located at scripts/search_driving_distance.py. An Example:
from search_driving_distance import GoogleDistanceMatrix
matrix = GoogleDistanceMatrix()
print(matrix.run("Seattle", "Portland", mode="driving"))
Filter the cleaned flights CSV for specific routes and dates. The bundled script is located at scripts/search_flights.py. An Example:
from search_flights import Flights
flights = Flights()
print(flights.run("New York", "Los Angeles", "2022-01-15"))
Query restaurants for a given city. The bundled script is located at scripts/search_restaurants.py. An example:
from search_restaurants import Restaurants
restaurants = Restaurants()
print(restaurants.run("San Francisco"))