Bot de Respuestas a Comentarios
PROGenera respuestas ingeniosas, neutrales o estratégicas a trolls y comentarios negativos para no responder emocionalmente. Protege tu salud mental mientras mantienes el 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.
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