What does the D Data Analysis Semantic Layer AI skill do?
审核并版本化写入 D｜数据分析知识语义层，只用于用户在看到正式报告和候选内容后明确回复“同意吸纳”“写入D”“加入数据分析知识库”“确认进入知识库”或“批准更新D”的场景。用于验证候选结论、来源、有效期、复查日期、冲突和历史版本；不得因“调用D”“分析市场”或生成候选内容而触发写入。包内自带完整审核、版本和写入合同，不要求配套Skill。
Why use D Data Analysis Semantic Layer on TypingMind?
Because you install it once and use it with any model. D Data Analysis Semantic Layer 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 D Data Analysis Semantic Layer in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/62656456/ai-film-skills/tree/main/skills/d-data-analysis-semantic-layer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.
Which AI models can use D Data Analysis Semantic Layer?
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 D Data Analysis Semantic Layer?
As many as you like. As long as a model supports skills, you can use D Data Analysis Semantic Layer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the D Data Analysis Semantic Layer AI skill free?
Yes. It is published on GitHub by 62656456 under the Apache-2.0 license. 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.
