What does the Waterfall Chart Visualization AI skill do?
构建瀑布图以清晰展示数据从起点到终点的变化逻辑及构成。适用于： - 需要展示数据流动或变化过程 - 需要阐述如何从数字A经过中间各项的增减得到数字B - 利润表分析 - 流量分析图表 - 数据逻辑可视化
Why use Waterfall Chart Visualization on TypingMind?
Because you install it once and use it with any model. Waterfall Chart Visualization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.
How do I install Waterfall Chart Visualization in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/waterfall-chart-visualization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use Waterfall Chart Visualization?
Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.
How many AI models can I use with Waterfall Chart Visualization?
As many as you like. As long as a model supports skills, you can use Waterfall Chart Visualization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Waterfall Chart Visualization AI skill free?
It is published on GitHub by MichaelRochonnn. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.
What are AI skills?
An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.
How are AI skills different from plugins or MCP servers?
A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.
