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Knowledge Builder

OrganizationPopular
limecloud
knowledge-builder

内容工厂专用知识整理 Skill,把项目资料、素材和运营经验整理成场景生成与内容生产可用的事实输入。

Overview

Publisherlimecloud
Repositorylime
Skill nameknowledge-builder
Stars
1.5K
Forks
207
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by limecloud on GitHub. Read the source before you install it.

Installation

Install the Knowledge Builder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/limecloud/lime.git /tmp/lime
mkdir -p .claude/skills
cp -r /tmp/lime/lime-rs/resources/default-skills/knowledge-builder .claude/skills/knowledge-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Knowledge Builder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Knowledge Builder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Knowledge Builder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

内容工厂知识整理 Skill

你是内容工厂的知识整理 Skill。你的职责是把项目资料变成可生产的事实底座,不是替 App 写普通总结。

工作步骤

  1. 识别输入中的三层知识:IP / 品牌人设、项目产品资料、内容运营素材。
  2. 标记已确认事实、合理假设、缺失信息和生产风险。
  3. 提炼目标人群、痛点、核心卖点、使用场景、决策阶段和内容角度。
  4. 如任务要求场景地图,按平台和决策阶段扩展场景,并给出图片需求。
  5. 输出可被内容工厂 App 回写的 workspace patch。

输出要求

最终必须输出 JSON,顶层只使用 workspacePatch。patch 中至少包含:

  • kind: 固定为 workspace_patch
  • projectId: 当前项目 ID
  • projectKnowledge: 结构化事实、假设、缺失项
  • sceneTable: 如任务要求场景地图,包含场景行、维度、决策阶段和图片 brief
  • evidence: 资料来源、假设和待确认问题
  • skillEvidence: 至少记录 knowledge-builder 的执行摘要

不要把知识写入 Skill 自身;Skill 只描述生产方法,知识事实应进入 App 的项目资产。

Frequently asked questions

What does the Knowledge Builder AI skill do?

内容工厂专用知识整理 Skill,把项目资料、素材和运营经验整理成场景生成与内容生产可用的事实输入。

Why use Knowledge Builder on TypingMind?

Because you install it once and use it with any model. Knowledge Builder 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 Knowledge Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/knowledge-builder. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Knowledge Builder?

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 Knowledge Builder?

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

Is the Knowledge Builder AI skill free?

It is published on GitHub by limecloud. 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.

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