Ra 复盘

内容复盘工作流：取数 → 爆款分级（R/M/Tier）→ 按需拉取内容本体 → 归因 → 沉淀（方法论/金句库/案例库/概念库/课程灵感）+ 选题卡回写。 Use when the user says 复盘xx, 内容复盘, xx数据怎么样, xx表现如何, 复盘一下这条, 为什么这条爆了, 为什么这条没爆. 沉淀铁律：复盘不沉淀，等于白复盘——每次至少一条资产入库，或写明为什么没有。

Because you install it once and use it with any model. Ra 复盘 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.

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/ra-复盘. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

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.

As many as you like. As long as a model supports skills, you can use Ra 复盘 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

It is published on GitHub by Pluviobyte. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

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.

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.