ai-training-mode
CommunityPersonalize AI with client feedback.
Product & Management#prompt engineering#personalization#fine-tuning#feedback loop#ai training#agent enhancement
Authorteodorboev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows clients to actively train AI agents by providing feedback on their outputs, leading to increasingly personalized and accurate AI performance over time, thereby increasing client retention.
Core Features & Use Cases
- Feedback Collection: Gathers various forms of user feedback including ratings, corrections, and explicit preferences.
- Prompt Injection: Integrates learned preferences and corrections directly into agent prompts for real-time adaptation.
- Pattern Learning: Automatically identifies recurring patterns from feedback to derive new preferences.
- Use Case: A client consistently rates LinkedIn posts with emojis poorly. The AI learns this preference and stops adding emojis to their LinkedIn content, making the AI's output more aligned with the client's brand.
Quick Start
Use the ai-training-mode skill to provide feedback on the AI's last output.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-training-mode Download link: https://github.com/teodorboev/socialai/archive/main.zip#ai-training-mode Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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