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understand-chat听懂聊天

Agent Skill

understand-chat 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,418

周安装

141

GitHub Stars

9,388

下载量

1,117
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:understand-chat(听懂聊天)
来源仓库:https://github.com/lum1104/understand-anything
仓库路径:skills/understand-chat
安装命令:
npx skills add https://github.com/lum1104/understand-anything --skill understand-chat
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lum1104/understand-anything --skill understand-chat

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息筛选与组织,提升研究效率。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否涉及联网或文件操作。
  • understand-chat 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

/understand-chat

Answer questions about this codebase using the knowledge graph at .understand-anything/knowledge-graph.json.

Graph Structure Reference

The knowledge graph JSON has this structure:

  • project — {name, description, languages, frameworks, analyzedAt, gitCommitHash}
  • nodes[] — each has {id, type, name, filePath, summary, tags[], complexity, languageNotes?}

- Node types: file, function, class, module, concept - IDs: file:path, function:path:name, class:path:name

  • edges[] — each has {source, target, type, direction, weight}

- Key types: imports, contains, calls, depends_on

  • layers[] — each has {id, name, description, nodeIds[]}
  • tour[] — each has {order, title, description, nodeIds[]}

How to Read Efficiently

  1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file
  2. Only read sections you need — don't dump the entire graph into context
  3. Node names and summaries are the most useful fields for understanding
  4. Edges tell you how components connect — follow imports and calls for dependency chains

Instructions

  1. Check that .understand-anything/knowledge-graph.json exists in the current project root. If not, tell the user to run /understand first.
  2. Read project metadata only — use Grep or Read with a line limit to extract just the "project" section from the top of the file for context (name, description, languages, frameworks).
  3. Search for relevant nodes — use Grep to search the knowledge graph file for the user's query keywords: "$ARGUMENTS"

- Search "name" fields: grep -i "query_keyword" in the graph file - Search "summary" fields for semantic matches - Search "tags" arrays for topic matches - Note the id values of all matching nodes

  1. Find connected edges — for each matched node ID, Grep for that ID in the edges section to find:

- What it imports or depends on (downstream) - What calls or imports it (upstream) - This gives you the 1-hop subgraph around the query

  1. Read layer context — Grep for "layers" to understand which architectural layers the matched nodes belong to.
  2. Answer the query using only the relevant subgraph:

- Reference specific files, functions, and relationships from the graph - Explain which layer(s) are relevant and why - Be concise but thorough — link concepts to actual code locations - If the query doesn't match any nodes, say so and suggest related terms from the graph

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.53%
按下载量换算375

Claude

30.99%
按下载量换算346

Cursor

21.24%
按下载量换算237

Gemini CLI

9.35%
按下载量换算104

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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