Evaluate user inputs against a 15-dimension, 26-type personality framework.
npx skills add https://github.com/c0dedance/sbti-skill --skill sbti
Please help me install this Agent Skill. Skill: sbti Source: https://github.com/c0dedance/sbti-skill/tree/main Command: npx skills add https://github.com/c0dedance/sbti-skill --skill sbti
SBTI AI version turns a static personality test into an engaging, conversational experience. It hides complex scoring and provides interactive modes for evaluation, diagnosis, taunting chats, and roleplay prompts.
Say 'SBTI' to start the four-mode personality interaction and view your results.
High-intent search queries and answers about installing and using this skill.
Turn a personality assessment into an interactive AI chat by using dialogue-based evaluation that analyzes user inputs against a 15-dimension, 26-type framework. It hides complex scoring behind the scenes and exposes only final types and descriptive feedback.
Yes, you can generate roleplay prompts based on specific personality types through the prompt generation mode. It creates targeted prompts by leveraging the 26-type, 15-dimension personality framework to drive character interactions.
Reverse diagnosis in conversational personality profiling is a mode that infers and evaluates a user's personality type by analyzing their inputs against a 15-dimension framework, providing similarity scores and descriptive feedback without visible scoring logic.
Start a multi-mode personality evaluation chat by triggering the keyword 'SBTI'. This activates the four-mode interaction system, supporting dialogue-based assessment, reverse diagnosis, toxic-chat companion, and roleplay-prompt generation with chained interactions.
Yes, this conversational personality test supports chained interactions across its four modes. You can seamlessly transition between dialogue-based assessment, reverse diagnosis, toxic-chat companion, and roleplay-prompt generation for end-to-end behavioral profiling flows.
No, the scoring mechanics and 15-dimension framework are not visible during the AI chat. The system implements hidden scoring and pattern-matching logic behind the scenes, exposing only the final type, similarity, and descriptive feedback to users.
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