Collect client feedback and inject training data into agent prompts.
npx skills add https://github.com/teodorboev/socialai --skill ai-training-mode
Please help me install this Agent Skill. Skill: ai-training-mode Source: https://github.com/teodorboev/socialai/tree/main/.opencode/skills/ai-training-mode Command: npx skills add https://github.com/teodorboev/socialai --skill ai-training-mode
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.
Use the ai-training-mode skill to provide feedback on the AI's last output.
High-intent search queries and answers about installing and using this skill.
Personalize AI outputs by collecting direct client feedback such as ratings, corrections, and explicit rules, then injecting this per-organization data into agent prompts to improve output quality and personalization over time.
Prompt injection for AI personalization integrates learned client preferences and corrections directly into agent prompts, enabling real-time adaptation and increasingly aligned outputs based on stored feedback data.
Collect user feedback to improve prompt engineering by gathering ratings, corrections, and explicit preferences, then automatically identifying recurring patterns to derive new preferences for agent enhancement.
The feedback loop supports per-organization training data by storing client feedback, preferences, and exemplars via a structured database schema, ensuring personalized agent enhancement for each specific organization.
Use direct feedback mechanisms like consistent low ratings to stop unwanted AI behaviors, as the system learns from recurring patterns and automatically derives preferences to adjust future agent outputs accordingly.
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