Notre avis
Explique le flux de données, les fonctionnalités et les chemins de code de l'application varun.surf avec des diagrammes visuels et des descriptions étape par étape.
Points forts
- Produit des diagrammes ASCII clairs pour visualiser les flux.
- Inclut des références aux fichiers et numéros de ligne pour une navigation facile.
- Offre une structure détaillée étape par étape pour des explications complexes.
- Utilise plusieurs outils de contexte (Glob, Grep, Read, LSP) pour une analyse approfondie.
Limites
- Nécessite une bonne connaissance préalable du code pour suivre les références.
- Les diagrammes ASCII peuvent devenir difficiles à lire pour des flux très complexes.
- Dépend fortement de la qualité et de l'accessibilité du code source.
À utiliser lorsque vous devez comprendre un flux de données complexe, le fonctionnement d'une fonctionnalité ou l'architecture d'un composant dans l'application.
Évitez de l'utiliser pour des questions très générales sur le projet ; préférez une vue d'ensemble de haut niveau.
Analyse de sécurité
SûrThe skill only instructs read-only code analysis (Glob, Grep, Read, LSP) to explain data flows and features, with no commands to execute code, modify files, or access external services, posing no execution risk.
Aucun point d'attention détecté
Exemples
Explain how forecasts get from Windguru to the frontend in the varun.surf application.How does the favorites system work in varun.surf? Provide a step-by-step breakdown with file references.Explain how the AggregatorService works internally, including its data transformations and dependencies.name: explain description: Explain data flows, features, and code paths in the varun.surf application with visual diagrams and step-by-step breakdowns
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:
Globto find relevant filesGrepto search for specific patterns, method calls, and referencesReadto examine source codeLSPfor 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:
- Overview: High-level summary (2-3 sentences)
- Entry Point: Where the flow begins
- Step-by-Step Flow: Each processing step with file:line references
- Key Code Snippets: Important code sections (keep concise)
- Data Transformations: How data shape changes
- External Dependencies: APIs, databases, caches involved
- Error Handling: How errors are managed
- 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 definitionsrc/main/java/.../AggregatorService.java:120- data aggregation
Output Format
# Explaining: [Topic]
## Overview
[2-3 sentence summary]
## Visual Diagram
[ASCII diagram showing the flow]
## Step-by-Step Flow
### 1. [Step Name]
**File**: `path/to/file.java:line`
[Description of what happens]
```java
// Key code snippet (if helpful)
2. [Next Step]
...
Data Transformations
| Stage | Data Shape | Example | |-------|------------|---------| | Input | Type | {...} | | Output| Type | {...} |
Key Files Involved
path/to/file1.java- [purpose]path/to/file2.java- [purpose]
Related Features
- [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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