What does the 日报成稿 AI skill do?
把会议转写稿、会议笔记、聊天记录或零散工作事项整理成用户本人的固定格式日报（X月X日工作总结 / ✅已完成 / 🚶进行中 / 明日计划）。适用于：下班前写日报、从会议记录中提取个人日报、把零散事项汇总成今日工作总结、用户说'帮我写日报/提取我的日报/整理日报'时使用。核心原则：✅只给明确完成并有结果的事，进行中或状态不清统一用🚶，不把明日计划写成完成，没有依据不写，缺关键信息一次只问一个问题，输出先经用户核对。
Why use 日报成稿 on TypingMind?
Because you install it once and use it with any model. 日报成稿 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 日报成稿 in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/YiShu5/claude-skills/tree/master/skills/日报成稿.skill. 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 日报成稿?
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 日报成稿?
As many as you like. As long as a model supports skills, you can use 日报成稿 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the 日报成稿 AI skill free?
Yes. It is published on GitHub by YiShu5 under the MIT 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.
