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。

1,383 stars

Best use case

analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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。

Teams using analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/analysis/SKILL.md --create-dirs "https://raw.githubusercontent.com/limecloud/lime/main/src-tauri/resources/default-skills/analysis/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/analysis/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How analysis Compares

Feature / AgentanalysisStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this 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。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

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,则默认分析当前对话里与请求最相关的内容。
- 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。
- 信息不足时最多追问 1 个关键问题,不要假装已经读到不存在的内容。

## 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}