explain — for Claude Code explain, varun.surf, community, for Claude Code, ide skills, kiteboarding, kitesurfing, weather-forecast, wind-forecast, **For component interactions:**

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need when the user asks to explain something (a feature, data flow, or component), follow this process:. 本地化技能摘要: explain helps AI agents handle repository-specific developer workflows with documented implementation details. It covers kiteboarding, kitesurfing, weather-forecast workflows.

功能特性

When the user asks to explain something (a feature, data flow, or component), follow this process:
Identify What to Explain
Parse the user's request to determine:
Data flow : How data moves from source to destination (e.g., "explain how forecasts get to the
Feature : How a specific feature works end-to-end (e.g., "explain favorites system")

# 核心主题

pwittchen pwittchen
[4]
[0]
更新于: 4/27/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
70
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need when the user asks to explain something (a feature, data flow, or component), follow this process:. 本地化技能摘要: explain helps AI agents handle repository-specific developer workflows with documented implementation details. It covers kiteboarding, kitesurfing, weather-forecast workflows.

核心价值

推荐说明: explain helps agents when the user asks to explain something (a feature, data flow, or component), follow this process:. explain helps AI agents handle repository-specific developer workflows with documented

适用 Agent 类型

适用场景: Ideal for AI agents that need when the user asks to explain something (a feature, data flow, or component), follow this process:.

赋予的主要能力 · explain

适用任务: Applying When the user asks to explain something (a feature, data flow, or component), follow this process:
适用任务: Applying Identify What to Explain
适用任务: Applying Parse the user's request to determine:

! 使用限制与门槛

  • 限制说明: Requires repository-specific context from the skill documentation
  • 限制说明: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

explain 是什么?

适用场景: Ideal for AI agents that need when the user asks to explain something (a feature, data flow, or component), follow this process:. 本地化技能摘要: explain helps AI agents handle repository-specific developer workflows with documented implementation details. It covers kiteboarding, kitesurfing, weather-forecast workflows.

如何安装 explain?

运行命令:npx killer-skills add pwittchen/varun.surf/explain。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

explain 适用于哪些场景?

典型场景包括:适用任务: Applying When the user asks to explain something (a feature, data flow, or component), follow this process:、适用任务: Applying Identify What to Explain、适用任务: Applying Parse the user's request to determine:。

explain 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

explain 有哪些限制?

限制说明: Requires repository-specific context from the skill documentation;限制说明: Works best when the underlying tools and dependencies are already configured。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add pwittchen/varun.surf/explain。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    explain 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

explain

安装 explain,这是一款面向AI agent workflows and automation的 AI Agent Skill。查看评审结论、使用场景与安装路径。

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Explain Skill

Explain how data flows through the system, how features work, and trace code paths with clear visualizations and step-by-step breakdowns.

Instructions

When the user asks to explain something (a feature, data flow, or component), follow this process:

1. Identify What to Explain

Parse the user's request to determine:

  • Data flow: How data moves from source to destination (e.g., "explain how forecasts get to the frontend")
  • Feature: How a specific feature works end-to-end (e.g., "explain favorites system")
  • Component: How a specific service or class works internally (e.g., "explain AggregatorService")
  • Integration: How external APIs are integrated (e.g., "explain Windguru integration")

2. Gather Context

Use the following tools to understand the code:

  • Glob to find relevant files
  • Grep to search for specific patterns, method calls, and references
  • Read to examine source code
  • LSP for finding definitions, references, and call hierarchies

3. Trace the Flow

For data flows and features, trace the complete path:

Entry Point → Processing Steps → Output

Identify:

  • Entry points (API endpoints, scheduled tasks, user actions)
  • Service layer processing
  • Data transformations
  • External API calls
  • Caching layers
  • Response formatting

4. Create Visual Diagrams

Use ASCII diagrams to visualize:

For data flows:

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   Source    │────▶│  Transform  │────▶│ Destination │
└─────────────┘     └─────────────┘     └─────────────┘

For component interactions:

            ┌──────────────────┐
            │   Controller     │
            └────────┬─────────┘
                     │
        ┌────────────┼────────────┐
        ▼            ▼            ▼
   ┌─────────┐  ┌─────────┐  ┌─────────┐
   │Service A│  │Service B│  │Service C│
   └─────────┘  └─────────┘  └─────────┘

For state transitions:

[State A] ──(action)──▶ [State B] ──(action)──▶ [State C]

5. Provide Step-by-Step Breakdown

Structure the explanation as:

  1. Overview: High-level summary (2-3 sentences)
  2. Entry Point: Where the flow begins
  3. Step-by-Step Flow: Each processing step with file:line references
  4. Key Code Snippets: Important code sections (keep concise)
  5. Data Transformations: How data shape changes
  6. External Dependencies: APIs, databases, caches involved
  7. Error Handling: How errors are managed
  8. Related Components: Other parts of the system that interact

6. Include Code References

Always include file paths with line numbers for easy navigation:

  • src/main/java/.../SpotsController.java:45 - endpoint definition
  • src/main/java/.../AggregatorService.java:120 - data aggregation

Output Format

markdown
1# Explaining: [Topic] 2 3## Overview 4[2-3 sentence summary] 5 6## Visual Diagram 7[ASCII diagram showing the flow] 8 9## Step-by-Step Flow 10 11### 1. [Step Name] 12**File**: `path/to/file.java:line` 13 14[Description of what happens] 15 16```java 17// Key code snippet (if helpful)

2. [Next Step]

...

Data Transformations

StageData ShapeExample
InputType{...}
OutputType{...}

Key Files Involved

  • path/to/file1.java - [purpose]
  • path/to/file2.java - [purpose]
  • [Feature 1]: [brief relation]
  • [Feature 2]: [brief relation]

## Example Topics

Common explanations users might request:

### Data Flows
- "How do forecasts get from Windguru to the frontend?"
- "How are live conditions fetched and displayed?"
- "How does the caching system work?"
- "How does the spot data flow from JSON to API response?"

### Features
- "How does the favorites system work?"
- "How does country filtering work?"
- "How does the search functionality work?"
- "How does theme switching work?"
- "How does the kite size calculator work?"

### Components
- "How does AggregatorService orchestrate data fetching?"
- "How do the FetchCurrentConditionsStrategy implementations work?"
- "How does the ForecastService parse Windguru data?"
- "How does the frontend manage state?"

### Integrations
- "How is Windguru integrated?"
- "How is Google Maps integration working?"
- "How does the AI analysis feature work?"

## Notes

- Keep explanations concise but complete
- Use diagrams to make complex flows understandable
- Always include file:line references for code navigation
- Focus on the specific topic, don't over-explain tangential concerns
- If the topic is ambiguous, ask clarifying questions
- Reference CLAUDE.md, docs/BACKEND.md, and docs/FRONTEND.md for architectural context

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