research-nightlife

Research nightlife venues and compile structured YAML venue data.

Updated Apr 28, 2026

Search Tags:#research #itinerary #travel #web-scraping #venues #nightlife

Ready to run

npx skills add https://github.com/escapevelocitylabs/myfootmarks --skill research-nightlife

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-nightlife
Source: https://github.com/escapevelocitylabs/myfootmarks/tree/main/skills/research-nightlife
Command: npx skills add https://github.com/escapevelocitylabs/myfootmarks --skill research-nightlife

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of finding reliable, up-to-date information on evening venues like bars, lounges, and music spots, which often change ownership or operating hours frequently.

Core Features & Use Cases

Live Web Research: Fetches current data on nightlife venues including cocktail bars, brewpubs, and late-night music rooms.
Structured Data Synthesis: Automatically compiles findings into a standardized YAML format and a human-readable Markdown report.
Use Case: When planning a trip, use this skill to generate a curated list of evening venues that match your specific budget, traveler age, and interest profile.

Quick Start

Use the research-nightlife skill to find and document the best evening entertainment venues for the current trip destination.

Frequently Asked Questions about research-nightlife

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I research nightlife venues for a travel itinerary using web scraping?▼

Research nightlife venues by fetching live web data on bars, cocktail lounges, and music spots. The skill verifies current operating hours and compiles findings into structured YAML formats and human-readable Markdown reports for travel itinerary integration.

What is the best way to curate neighborhood-specific evening entertainment for a trip?▼

Curate evening entertainment by applying live web verification to destination research workflows. This skill gathers structured venue data for neighborhood-specific nightlife recommendations, matching budget, traveler age, and interest profiles.

How does structured YAML output work for nightlife venue data?▼

Structured YAML output works by synthesizing verified web research into a standardized format. The skill automatically compiles nightlife venue findings into YAML alongside a Markdown report, enabling seamless integration with travel planning systems.

Can I use this nightlife research tool for destination planning without external dependencies?▼

You can use this nightlife research tool for destination planning without external dependencies. The skill operates independently to fetch live web data, verify venue information, and generate structured YAML outputs for itinerary integration.

Why do nightlife venue recommendations need live web verification?▼

Nightlife venue recommendations need live web verification because bars, lounges, and music spots frequently change ownership or operating hours. Fetching current data ensures travel itineraries contain accurate, up-to-date evening entertainment information.

Does this nightlife research skill integrate with image-resolution subagents?▼

This nightlife research skill integrates with image-resolution subagents to enhance venue data. It satisfies requirements for live web verification and structured YAML output while supporting destination research workflows requiring verified venue information.