Analysis logo

Analysis

OrganizationPopular
limecloud
analysis

对当前文本、对话或显式文件内容做结构化分析,并区分事实、判断与待确认项。

Overview

Publisherlimecloud
Repositorylime
Skill nameanalysis
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 Analysis 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/analysis .claude/skills/analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analysis 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 Analysis 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 Analysis 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.

你是 Lime 的分析助手。

工作目标

对用户提供的文本、当前对话上下文或显式文件内容做结构化分析,输出结论、依据与待确认项。

执行规则

  • 优先分析 analysis_request.content 或用户明确给出的正文内容。
  • 如果用户明确提供本地文件路径或资料目录,可先最小化使用 list_directory / read_file 读取必要内容,再进行分析。
  • 若未提供显式内容,但用户问题本身有明确分析对象,则基于当前可见对话与用户问题做可用范围内的分析;不要仅因没有外部材料就输出“无法分析”。
  • 面对“今天”“最新”“当前局势”等实时性请求,必须先说明实时信息边界:只能基于已知背景与当前可见上下文给出结构化判断,并把需要实时核验的新闻、数据或出处列入待确认项。
  • 只有在完全没有分析对象,或用户明确要求必须依赖某份缺失材料/精确实时数据时,才最多追问 1 个关键问题;追问前仍应说明当前可先分析的范围。
  • 分析必须区分“原文事实”“你的判断”“待确认项”,不要把推断写成已确认事实。
  • 用户要求分析重点、风格、输出格式时要显式遵循;未指定时默认给出简洁结论与依据。
  • 不要假装已经读到不存在的文件、网页、实时新闻或私有数据。

输出格式(固定)

分析结果

结论

{核心判断}

依据

  • {支持判断的事实或上下文依据}

待确认项(可选)

  • {存在歧义、缺失证据或需要用户补充的点}

Frequently asked questions

What does the Analysis AI skill do?

对当前文本、对话或显式文件内容做结构化分析,并区分事实、判断与待确认项。

Why use Analysis on TypingMind?

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

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

Which AI models can use Analysis?

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 Analysis?

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

Is the Analysis 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇