AniList CLI Skill for Openclaw

A command-line interface for AniList that enables AI agents to search for media, manage watchlists, and track seasonal airing schedules.

mtsku
v0.3.2
Mar 6, 2026
0
989
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install anilist

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install anilist using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AniList CLI Skill?

The AniList CLI skill provides a robust bridge between AI coding agents and the AniList platform, allowing for seamless integration of anime and manga data into developer workflows. It enables users to query extensive databases, manage personal lists, and interact with social profiles directly from a terminal or through an automated agent environment. This skill is part of the broader ecosystem of Openclaw Skills, designed to enhance productivity by bringing specialized web service interactions to CLI-based agents.

By leveraging this skill, developers can automate the tracking of their media consumption or build complex workflows that react to new anime releases. It supports both public data retrieval and private list mutations, making it a comprehensive tool for any anime enthusiast or developer building media-centric automations.

AniList CLI Skill Use Cases

  • Automating anime discovery for seasonal releases and upcoming shows based on specific years.
  • Updating personal watchlists or manga reading progress directly from an AI agent workspace.
  • Monitoring real-time airing schedules for specific titles within custom timeframes (e.g., the next 48 hours).
  • Retrieving media recommendations and relations to build curated lists or research databases.

How AniList CLI Skill Works

  1. The AI agent first checks for the presence of the anilistcli binary in the system environment.
  2. For public data access, the skill queries the AniList API directly without requiring credentials.
  3. For account-specific actions, the user provides an AniList authentication token which is stored securely via the auth set-token command.
  4. The skill executes specific subcommands (search, airing, profile, list) and captures the output.
  5. Structured data is often requested using the json flag to ensure the AI agent can parse and act upon the information accurately.

AniList CLI Skill Setup

To get started with this entry in the Openclaw Skills library, follow these installation steps:

# Install the package globally via npm
npm install -g @mtsku/anilist-cli

# Verify that the CLI is correctly installed
anilistcli --help

# (Optional) Set your authentication token for list management and private profile access
anilistcli auth set-token "<your-token>"

AniList CLI Skill Data Schema & Taxonomy

The AniList CLI skill organizes data into several functional domains. It is highly recommended to use the --json flag for programmatic integration.

Domain Key Data Points
Discovery Media titles, seasonal status, release year, and result limits.
Airing Countdown timers, episode numbers, and media IDs for upcoming shows.
List Management Media status (CURRENT, PLANNING, DROPPED), episode progress, and list summaries.
Social/Profile User metadata, follower/friend lists, and recent activity logs.

AniList CLI Skill Advanced Features

  • JSON Output Mode: Use the --json flag to receive machine-readable data for automated processing within Openclaw Skills.
  • Dry Run Safety: Perform a --dry-run on mutation commands to verify intended changes before they are committed to the AniList servers.
  • Flexible Time Windows: Filter airing schedules by specific hourly windows (e.g., --hours 72) to focus on immediate releases.
  • Relationship Mapping: Use the media relations command to discover prequels, sequels, and spin-offs for any given title.

SKILL.md


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