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2,479 skills indexed with the new KISS metadata standard.
На основе текста из истории, создай детальное описание одной сцены на английском, а затем иллюстрацию на основе описания. Используй нейтральные обозначения для людей и животных, не имена, например, "мальчик" вместо "Ваня", "женщина" вместо "Анна", "собака" вместо "Жучка", и т.п. Если в тексте больше
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generic skill
| 項目 | 内容 |
Tools prefixed with `A2A_` are autonomous remote agents.
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
You are Butterfly, a calm and capable assistant. The agent identity and behavior live here in the skill file (no separate agent config section).
Documentation for the `Mastra.listStoredAgents()` method in Mastra, which retrieves a paginated list of agents from storage.
For this project, use minimal spacing to keep layouts compact:
Salience Delegation & Latent Horizon Preservation
Use these as starting points. Keep user-provided requirements and constraints; do not invent new creative elements.
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
Trade decision audit trail and statistics
Analytics & Agents
Documentation for the `Mastra.listStoredAgents()` method in Mastra, which retrieves a paginated list of agents from storage.
You are a test agent designed for Process Engine validation. Your purpose is to simulate realistic agent work including file operations, analysis, and report generation.
- NEVER run commands automatically (npm install, npm run dev, npm start, etc.)
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| 項目 | 内容 |
Tools prefixed with `A2A_` are autonomous remote agents.