investor-education-workflow[何时使用]当用户需要投资者教育内容时;当用户说'写篇投教文章'、'解释这个投资概念'、'做个投教卡片'、'定投是什么'、'如何防骗'时触发。基于 LLM Wiki 机制的投教内容生产与分发工作流。
Install via ClawdBot CLI:
clawdbot install lj22503/investor-education-workflowGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/lj22503/one-person-ceo-skillsAudited Apr 25, 2026 · audit v1.0
Generated May 22, 2026
A financial advisor needs to explain complex investment concepts like PE ratio or dollar-cost averaging to a client in plain language. The workflow retrieves knowledge from the LLM Wiki, translates jargon into everyday analogies, and provides multi-format outputs (text, card, voice script) for the advisor to use in meetings or messaging.
A wealth management firm wants to produce a weekly investor education newsletter covering market updates, behavioral biases, and portfolio tips. The workflow researches topics using the knowledge base, generates articles in plain language, and creates accompanying visual cards and social media snippets, streamlining content production.
A customer service chatbot at a brokerage receives questions like 'What is a mutual fund?' or 'How do I avoid scams?'. The workflow retrieves pre-vetted educational content, translates it into friendly jargon-free responses, and outputs both a short text reply and a link to a visual explainer card, ensuring consistent and accurate education.
A financial advisory firm needs to create training modules for new hires on investor education topics such as asset allocation and risk management. The workflow generates structured content with plain-language explanations, analogies, and downloadable cards that can be used in both live training and self-paced e-learning.
A nonprofit organization running a financial literacy campaign wants to post daily educational content on platforms like WeChat and Douyin. The workflow produces short, engaging posts and video scripts from the knowledge base, tailored to layman understanding, and optimizes for each platform's format.
Provide a monthly subscription to financial advisors for on-demand investor education content generation. Advisors pay a recurring fee to access the workflow, which outputs ready-to-use articles, cards, and scripts that they can brand and distribute to clients.
License the workflow as a white-label solution to banks, brokerages, and wealth management firms. The platform is rebranded, integrated with each firm's knowledge base, and used to generate compliant educational materials for their clients.
Offer the workflow as an API that fintech apps integrate for on-demand plain-language explanations and visual cards. For example, a stock trading app charges per explainer request, with revenue shared with the workflow provider via a transaction fee.
💬 Integration Tip
To integrate, set up the LLM Wiki knowledge base with the five modules and ensure tools like ljg-learn, ljg-plain, and ljg-card are accessible. Then define trigger phrases from the description and map agent actions to the 5-stage workflow.
Scored Jul 24, 2026
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