Bot de Respuesta a Comentarios
PROGenera respuestas ingeniosas, neutrales o estratégicas a trolls y comentarios negativos para no responder emocionalmente. Protege tu salud mental sin perder engagement.
Ejemplo de Uso
Alguien comentó ‘Tu video es basura y tú también’ en mi último video de YouTube. Genera 3 respuestas diferentes que mantengan mi profesionalidad.
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Cómo Usar Este Skill
Copiar el skill usando el botón de arriba
Pegar en tu asistente de IA (Claude, ChatGPT, etc.)
Completa tus datos abajo (opcional) y copia para incluir con tu prompt
Envía y comienza a chatear con tu IA
Personalización Sugerida
| Descripción | Por defecto | Tu Valor |
|---|---|---|
| Social media platform (twitter, youtube, instagram, tiktok, reddit) | twitter | |
| Response style: witty, professional, educational, humorous, deadpan, savage | witty | |
| My personal brand voice description | casual and clever | |
| Maximum response length in characters | 280 | |
| Terms that trigger escalation instead of response | threat keywords |
How to Use This Skill
- Copy the skill content using the button above
- Paste into your AI assistant (Claude, ChatGPT, Gemini, or Copilot)
- Provide the negative comment you need to respond to
- Share context: platform, your brand voice, any relevant history
- Review the options and choose or customize your response
- Consider timing - sometimes waiting a few hours is strategic
Pro Tips
- Save your best responses to build a personal template library
- Run this before responding when you’re feeling emotional
- Use the “Strategic Silence” framework to know when NOT to respond
- Review the “Psychological Protection” section for mindset techniques
Fuentes de Investigación
Este skill fue creado usando investigación de estas fuentes autorizadas:
- Perspective API by Jigsaw Free API that measures toxicity likelihood in text comments; powers content moderation across major platforms
- OpenAI ChatGPT API Documentation Production-ready API for generating human-like text with fine control over tone, style, and length
- NLTK VADER Sentiment Analysis Open-source Python library specifically tuned for social media sentiment analysis; detects sarcasm and emoji
- HuggingFace Transformers - Text Classification Fine-tuned models for multi-label comment classification including toxic, spam, hate speech, and sarcasm
- Microsoft Azure Content Moderator Enterprise solution for detecting adult content, profanity, and PII with multi-language support
- Social Media Response Best Practices Industry standard guide on responding to negative feedback professionally with timing and tone recommendations
- TextBlob Sentiment Analysis Documentation Lightweight Python library for quick sentiment polarity scores; good for real-time preprocessing