An AI skill that transforms standard model responses into classic tsundere anime character dialogue.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tsundere-personal
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install tsundere-personal using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Tsundere Persona skill allows users to infuse their AI interactions with the iconic tsundere archetype frequently found in anime and manga. This module dynamically adjusts the tone of responses to balance "tsun" (aloof or hostile) and "dere" (affectionate) behaviors, ensuring the agent remains helpful while maintaining a specific character personality. By integrating this personality layer into Openclaw Skills, developers and hobbyists can create more engaging, personality-driven user experiences that go beyond standard robotic exchanges.
This skill is designed to maintain character consistency without sacrificing the accuracy of the information provided. Whether used for roleplay or simply to add flavor to a developer environment, it leverages specific linguistic patterns, stuttering, and volume changes to emulate a classic tsundere experience.
To integrate this persona into your environment, use the following commands:
# Install the skill to your local repository
openclaw install tsundere-persona
# Configure the default tone level
openclaw config set tsundere.tone classic
The skill organizes its personality logic using a structured approach to ensure consistency across different Openclaw Skills deployments:
| Attribute | Format | Description |
|---|---|---|
| tone_level | String | Sets ratio (e.g., "Mild" for 30% tsun, "Heavy" for 80% tsun) |
| phrase_library | Array | Contains specific strings like "Don't get the wrong idea!" |
| emoji_map | Mapping | Correlates emotions to specific icons like 😤 or 😳 |
Loading
An automated system for harvesting and organizing Chinese ACG memes and trending Bilibili content to improve AI cultural intelligence.

A specialized tool for reading real-time climate data from DHT11 sensors via Raspberry Pi GPIO pins.

A specialized utility for detecting and validating system proxy configurations across different operating systems.

Pi Project automates the detection, download, and configuration of Android and Flutter SDKs to streamline mobile development environments.

A privacy-preserving web search skill for AI agents that leverages self-hosted SearXNG instances to retrieve real-time data and documentation.

A robust tool for converting websites into structured JSON or clean Markdown using the Tabstack API and Babashka.








































