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analyzing-projects分析项目

Agent Skill

analyzing-projects 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

652

周安装

28

GitHub Stars

1,281

下载量

228
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

3

许可证

MIT

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:analyzing-projects(分析项目)
来源仓库:https://github.com/cloudai-x/claude-workflow
仓库路径:skills/analyzing-projects
安装命令:
npx skills add https://github.com/cloudai-x/claude-workflow --skill analyzing-projects
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/cloudai-x/claude-workflow --skill analyzing-projects

简介

标准化新项目接入流程与代码库探索方法论指导。

  • 包含 README 检查、技术栈识别与结构映射完整步骤。
  • 适用于团队协作初期快速对齐认知基线。analyzing-projects 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 按清单逐项推进,避免遗漏关键配置或部署说明。
  • 最终产出总结报告帮助新人理解项目整体架构。

SKILL.md

Analyzing Projects

When to Load

  • Trigger: Onboarding to a new project, "how does this work" questions, codebase exploration, understanding unfamiliar code
  • Skip: Already familiar with the project structure and patterns

Project Analysis Workflow

Copy this checklist and track progress:

Project Analysis Progress:
- [ ] Step 1: Quick overview (README, root files)
- [ ] Step 2: Detect tech stack
- [ ] Step 3: Map project structure
- [ ] Step 4: Identify key patterns
- [ ] Step 5: Find development workflow
- [ ] Step 6: Generate summary report

Step 1: Quick Overview

# Check for common project markers
ls -la
cat README.md 2>/dev/null | head -50

Step 2: Tech Stack Detection

Package Managers & Dependencies

  • package.json → Node.js/JavaScript/TypeScript
  • requirements.txt / pyproject.toml / setup.py → Python
  • go.mod → Go
  • Cargo.toml → Rust
  • pom.xml / build.gradle → Java
  • Gemfile → Ruby

Frameworks (from dependencies)

  • React, Vue, Angular, Next.js, Nuxt
  • Express, FastAPI, Django, Flask, Rails
  • Spring Boot, Gin, Echo

Infrastructure

  • Dockerfile, docker-compose.yml → Containerized
  • kubernetes/, k8s/ → Kubernetes
  • terraform/, .tf files → IaC
  • serverless.yml → Serverless Framework
  • .github/workflows/ → GitHub Actions

Step 3: Project Structure Analysis

Present as a tree with annotations:

project/
├── src/              # Source code
│   ├── components/   # UI components (React/Vue)
│   ├── services/     # Business logic
│   ├── models/       # Data models
│   └── utils/        # Shared utilities
├── tests/            # Test files
├── docs/             # Documentation
└── config/           # Configuration

Step 4: Key Patterns Identification

Look for and report:

  • Architecture: Monolith, Microservices, Serverless, Monorepo
  • API Style: REST, GraphQL, gRPC, tRPC
  • State Management: Redux, Zustand, MobX, Context
  • Database: SQL, NoSQL, ORM used
  • Authentication: JWT, OAuth, Sessions
  • Testing: Jest, Pytest, Go test, etc.

Step 5: Development Workflow

Check for:

  • .eslintrc, .prettierrc → Linting/Formatting
  • .husky/ → Git hooks
  • Makefile → Build commands
  • scripts/ in package.json → NPM scripts

Step 6: Output Format

Generate a summary using this template:

# Project: [Name]

## Overview

[1-2 sentence description]

## Tech Stack

| Category  | Technology |
| --------- | ---------- |
| Language  | TypeScript |
| Framework | Next.js 14 |
| Database  | PostgreSQL |
| ...       | ...        |

## Architecture

[Description with simple ASCII diagram if helpful]

## Key Directories

- `src/` - [purpose]
- `lib/` - [purpose]

## Entry Points

- Main: `src/index.ts`
- API: `src/api/`
- Tests: `npm test`

## Conventions

- [Naming conventions]
- [File organization patterns]
- [Code style preferences]

## Quick Commands

| Action  | Command         |
| ------- | --------------- |
| Install | `npm install`   |
| Dev     | `npm run dev`   |
| Test    | `npm test`      |
| Build   | `npm run build` |

Analysis Validation

After completing analysis, verify:

Analysis Validation:
- [ ] All major directories explained
- [ ] Tech stack accurately identified
- [ ] Entry points documented
- [ ] Development commands verified working
- [ ] No assumptions made without evidence

If any items cannot be verified, note them as "needs clarification" in the report.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

29.2%
按下载量换算67

Antigravity

23.54%
按下载量换算54

OpenCode

17.69%
按下载量换算40

windsurf

11.76%
按下载量换算27

Gemini CLI

7.58%
按下载量换算17

Codex

3.12%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

来源信息

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