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K Cinema Bridge

Query Korean multiplex (Lotte Cinema, CGV, Megabox) box office rankings and upcoming movie data enriched with KOBIS details. Use when the user asks about Korean movies currently showing, box office rankings, upcoming releases, or wants movie recommendations based on genre, director, actor, or rating.

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Query Korean multiplex (Lotte Cinema, CGV, Megabox) box office rankings and upcoming movie data enriched with KOBIS details. Use when the user asks about Korean movies currently showing, box office rankings, upcoming releases, or wants movie recommendations based on genre, director, actor, or rating.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, openapi.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

k-cinema-bridge

A JSON API providing Korean multiplex (Lotte Cinema, CGV, Megabox) box office and upcoming movie data, enriched with detailed information such as genre, director, and cast from KOBIS (Korean Film Council). Data is automatically refreshed daily at 00:00 UTC.

API Reference

Base URL: https://uyeong.github.io/k-cinema-bridge All endpoints are accessible via GET requests without authentication. The info field may be null, so always perform a null check before accessing it. EndpointDescriptionGET /api/boxoffice.jsonCombined box office from all sources ({lotte, cgv, megabox})GET /api/boxoffice/{source}.jsonBox office by source (BoxOfficeMovie[])GET /api/upcoming.jsonCombined upcoming movies from all sources ({lotte, cgv, megabox})GET /api/upcoming/{source}.jsonUpcoming movies by source (UpcomingMovie[]) Valid source values: lotte, cgv, megabox

BoxOfficeMovie

source: "lotte" | "cgv" | "megabox" rank: number -- Box office rank (starting from 1) title: string -- Movie title rating: string -- Audience rating posterUrl: string -- Poster image URL info?: MovieInfo -- KOBIS detailed info (may be null)

UpcomingMovie

source: "lotte" | "cgv" | "megabox" title: string -- Movie title rating: string -- Audience rating posterUrl: string -- Poster image URL releaseDate: string -- Release date (YYYY-MM-DD, may be an empty string) info?: MovieInfo -- KOBIS detailed info (may be null)

MovieInfo

code, title, englishTitle, originalTitle: string runtime: string (minutes) productionYear, openDate (YYYYMMDD), productionStatus, type: string nations: string[] -- Production countries genres: string[] directors: {name, englishName}[] actors: {name, englishName, role, roleEnglish}[] showTypes: {group, name}[] companies: {code, name, englishName, part}[] audits: {number, grade}[] staff: {name, englishName, role}[]

Recommending Popular Movies

When the user asks for movie recommendations or what's popular: Fetch GET {BASE_URL}/api/boxoffice.json to retrieve combined box office data from all sources. Identify movies that appear across multiple sources with low rank values β€” lower rank means higher popularity. Present the top-ranked movies with their title, rating, and genre from info.genres if available.

Announcing Upcoming Releases

When the user asks about upcoming or soon-to-be-released movies: Fetch GET {BASE_URL}/api/upcoming.json to retrieve combined upcoming movie data. Filter results by releaseDate (YYYY-MM-DD) to match the user's requested time range. Provide details such as genre, directors, and actors from the info field if available.

Searching by Genre, Director, or Actor

When the user asks about a specific genre, director, or actor: Fetch both GET {BASE_URL}/api/boxoffice.json and GET {BASE_URL}/api/upcoming.json. Filter results using the info field: Genre: match against info.genres Director: match against info.directors[].name Actor: match against info.actors[].name Always null-check the info field before accessing nested properties.

Filtering by Audience Rating

When the user asks for age-appropriate movies: Use the rating field to filter. This field is always present and does not require the info field. Known rating values: "전체 κ΄€λžŒκ°€" (All ages), "12μ„Έ κ΄€λžŒκ°€" (12+), "15μ„Έ κ΄€λžŒκ°€" (15+), "μ²­μ†Œλ…„ κ΄€λžŒλΆˆκ°€" (Adults only).

Querying a Specific Multiplex

When the user asks about a specific cinema chain: Fetch GET {BASE_URL}/api/boxoffice/{source}.json or GET {BASE_URL}/api/upcoming/{source}.json. Valid source values: lotte, cgv, megabox.

Comparing Across Multiplexes

When the user asks to compare rankings between cinema chains: Fetch GET {BASE_URL}/api/boxoffice.json to retrieve combined data. Find movies with the same title across different sources and compare their rank values.

Response Guidelines

Respond in the same language the user is using. When presenting movie lists, include title, rank or release date, rating, and genre when available. If info is null for a movie, present only the base fields (title, rank, rating, posterUrl) without guessing missing details. When comparing across multiplexes, use a table format for clarity.

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Config
  • SKILL.md Primary doc
  • openapi.json Config