Anime Character Loader for Openclaw

A sophisticated Python utility for fetching, validating, and merging high-fidelity anime character data into standardized agent personality files.

colinchen4
v2.4.2
Mar 3, 2026
0
1.5k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install anime-character-loader

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 anime-character-loader 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 Anime Character Loader?

The Anime Character Loader is a robust Python-based tool designed to automate the creation of high-quality agent personas. By integrating with major databases like AniList and Jikan, it facilitates the generation of validated SOUL.generated.md files. This skill is a powerful addition to the library of Openclaw Skills, providing developers with a structured way to maintain character consistency and semantic accuracy across AI applications.

Built with maintainability in mind, the tool features a modular architecture that handles everything from multi-source parallel queries to advanced disambiguation. It ensures that every character profile meets strict quality thresholds, making it indispensable for developers working on character-driven AI agents and personality modeling.

Anime Character Loader Use Cases

  • Creating detailed AI agent personas based on established anime and manga characters.
  • Synchronizing character metadata across multiple external APIs to ensure data integrity.
  • Automating the generation of SOUL.md files for roleplay and conversational agents.
  • Validating character descriptions and traits against strict semantic quality standards.
  • Maintaining a local character database with idempotent merge capabilities.

How Anime Character Loader Works

  1. Translates the provided character name into English or Japanese to maximize search coverage.
  2. Performs parallel queries across AniList and Jikan APIs to gather comprehensive character metadata.
  3. Calculates a cross-source consistency score based on name similarity and source work relevance.
  4. Invokes forced disambiguation logic if multiple matches are found or if the confidence score is low.
  5. Generates a structured SOUL.generated.md file containing Identity, Personality, and Boundary sections.
  6. Runs 9 automated semantic checks to verify content length, name consistency, and the absence of placeholders.
  7. Offers the user options to REPLACE, MERGE, or KEEP the generated data in the local project.

Anime Character Loader Setup

To integrate this tool into your environment, follow these installation steps:

# Clone the repository and install dependencies
pip install -e .

# Load a character with a unique name
python load_character.py "Kasumigaoka Utaha"

# Handle ambiguous names by providing an anime hint
python load_character.py "Sakura" --anime "Fate"

# Select a specific match when multiple options are returned
python load_character.py "Miku" --anime "Quintessential" --select 1

Anime Character Loader Data Schema & Taxonomy

The skill organizes character data into a standardized Markdown schema designed for Openclaw Skills agents:

Section Description
Identity Contains the character's primary name and source work references.
Personality Detailed behavioral traits and specific personality nuances.
Boundaries Interaction constraints and roleplay guardrails.
Speaking Style Bulleted list of linguistic patterns and vocal habits.
Metadata Internal scores, confidence levels, and source attribution.

Anime Character Loader Advanced Features

  • Multi-source parallel querying with automatic failover and three retry attempts.
  • Idempotent merge logic that prevents duplicate character entries during file updates.
  • Cross-source consistency scoring using a weighted confidence algorithm.
  • 24-hour response caching via SQLite to minimize API latency and rate-limiting.
  • Atomic write operations with automatic rollback to ensure file system safety.
  • Forced selection thresholds that prevent the tool from guessing between similar matches.

SKILL.md


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