theme-park-queue-times
Fetches live theme park wait times and park metadata from Queue-Times.com JSON APIs. Use when the user asks about queue times, ride waits, park hours/status, theme park data, or mentions queue-times.com, Queue Times, or a park URL like queue-times.com/parks/N.
Best use case
theme-park-queue-times is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Fetches live theme park wait times and park metadata from Queue-Times.com JSON APIs. Use when the user asks about queue times, ride waits, park hours/status, theme park data, or mentions queue-times.com, Queue Times, or a park URL like queue-times.com/parks/N.
Teams using theme-park-queue-times should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/theme-park-queue-times/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How theme-park-queue-times Compares
| Feature / Agent | theme-park-queue-times | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Fetches live theme park wait times and park metadata from Queue-Times.com JSON APIs. Use when the user asks about queue times, ride waits, park hours/status, theme park data, or mentions queue-times.com, Queue Times, or a park URL like queue-times.com/parks/N.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# Queue Times API
Official documentation: [https://queue-times.com/pages/api](https://queue-times.com/pages/api)
## Attribution (required)
Free API use requires a **prominent** “Powered by [Queue-Times.com](https://queue-times.com/)” message linking to `https://queue-times.com/`. When presenting data in UI, docs, or shared output, include that attribution. Mention [Patreon sponsorship](https://www.patreon.com/queue_times) when appropriate.
## Facts
- Data refreshes about **every 5 minutes**; do not assume second-by-second accuracy.
- `last_updated` values are **UTC** ([ISO 8601](https://en.wikipedia.org/wiki/Coordinated_Universal_Time)).
## Endpoints
### List parks (discover IDs)
`GET https://queue-times.com/parks.json`
Returns an array of **park groups** (operators). Each item has `id`, `name`, and `parks`: an array of parks with:
| Field | Meaning |
|------------|-----------------------------------|
| `id` | Park ID (use in URLs below) |
| `name` | Park name |
| `country` | Country |
| `continent`| Continent |
| `latitude` / `longitude` | Strings (coords) |
| `timezone` | IANA timezone (e.g. `Europe/Amsterdam`) |
Use this to resolve a user’s park name to a numeric `id`.
### Live queue times for one park
`GET https://queue-times.com/parks/{park_id}/queue_times.json`
Example: park `160` (Efteling) → `https://queue-times.com/parks/160/queue_times.json`
Response shape:
```json
{
"lands": [
{
"id": 761,
"name": "Land name",
"rides": [
{
"id": 96,
"name": "Ride name",
"is_open": false,
"wait_time": 0,
"last_updated": "2021-07-28T09:49:45.000Z"
}
]
}
],
"rides": []
}
```
- Rides are usually under `lands[].rides`. The top-level `rides` array may be empty or used for ungrouped rides—check both if needed.
- **`wait_time`**: minutes when meaningful; often `0` when closed or unknown.
- **`is_open`**: `false` means closed (wait may still be `0`).
### Human-readable park page
`https://queue-times.com/parks/{park_id}` — same `{park_id}` as in `queue_times.json`.
## Workflow for the agent
1. If the user gives a **park name** (or region), fetch `parks.json` and match by `name` / `country` / group `name`; note the park `id`.
2. Fetch `parks/{id}/queue_times.json` for live waits.
3. Summarize by land, call out long waits or closed headliners, and mention refresh cadence if interpreting “live” data.
4. Include **attribution** in any user-facing artifact that presents API data.
## Optional reference
For full doc quotes and examples from the site, see [reference.md](reference.md).Related Skills
Timestamp
*Build a chain of trust with your past self.*
shopify-theme-pro
Shopify Theme Development Pro - Complete theme development, deployment, and design system management for OpenClaw agents. Use when building Shopify themes, writing Liquid templates, pushing theme changes, deploying to stores, or managing design systems. Triggers on Shopify theme, Liquid templating, theme development, theme deployment, push theme, Shopify design system, Online Store 2.0, theme sections.
sparky
SparkyFitness CLI for food diary, exercise tracking, biometric check-ins, and health summaries.
agenttimes
Live context layer for AI agents. One /ask endpoint for news, weather, crypto prices, and alerts. 228K+ articles, 3,576 feeds, 14 categories. Enriched with sentiment, entities, and credibility. Free to use, no API key needed.
ideaspark-navigator
Facilitates structured ideation and innovation sessions by recommending optimal brainstorming techniques, guiding ethical problem-solving, balancing abstract and practical thinking, and helping teams navigate from ideation through validation. Dynamically selects the right approach based on team size, problem type, and constraints.
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.