Teach cross-border ecommerce topics through iterative, feedback-based lessons.
npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-learning
Please help me install this Agent Skill. Skill: lyt-learning Source: https://github.com/YYYYYZhao/Lytskill/tree/main/skills/lyt-learning Command: npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-learning
This Skill helps users learn cross-border ecommerce, TikTok Shop, ecommerce operations, product selection, advertising, data analysis, content operations, supply chain, business models, and AI workflows through a continuous, feedback-driven learning process. It is designed for cases where the user wants to study a topic step by step, continue the next lesson, save a course locally, or validate understanding before moving forward.
Ask the lyt-learning skill to teach me one cross-border ecommerce topic step by step and continue from my feedback.
High-intent search queries and answers about installing and using this skill.
To learn cross-border ecommerce step by step, you need a continuous learning process that breaks business topics into focused lessons. This approach delivers one article, gathers your feedback, and adapts the next lesson to your specific knowledge gaps.
Adaptive lessons for TikTok Shop advertising and product selection adjust difficulty based on your feedback. The iterative learning mechanism identifies what you missed or want to apply, then generates the next lesson to target those exact operational gaps.
Feedback-driven learning for supply chain and business model topics is an iterative process where lessons adapt to your understanding. It tracks your learning state and modifies depth, difficulty, and examples to ensure comprehension before advancing.
To save and continue a structured local course for data analysis and content strategy, use the file-based course mode. It creates a local learning project when explicitly requested, allowing you to track progress and resume lessons from your last saved state.
Continuous learning supports a knowledge check loop for AI workflow scenarios by working with related skills. It enables a workflow where you learn a topic, test your understanding, identify gaps, and relearn specific concepts before moving forward.
The best way to validate understanding of ecommerce operations is using a feedback-based learning loop. It checks your knowledge after each lesson, identifies specific areas needing review, and adjusts subsequent content to reinforce those concepts.
hachejManage stateful learning records, mission definitions, and educational resources.
YlikenIdentify business logic vulnerabilities in workflows and state transitions.
bongrealtyUpdate CLAUDE.md with rules derived from user corrections.
JohnnyWang1998Apply elicitation methods to critique and iteratively refine LLM-generated content.
