Analyse de projets

VérifiéSûr

Compétences pour comprendre rapidement des codebases inconnues et des structures de projet.

Spar Skills Guide Bot
DeveloppementIntermédiaire
1025/07/2026
Claude CodeCursorWindsurf
#project-analysis#codebase-understanding#project-structure#architecture-patterns#code-exploration

Recommandé pour

Notre avis

Fournit des schémas systématiques pour comprendre rapidement des bases de code inconnues, incluant la détection de type de projet, l'identification de framework et l'analyse d'architecture.

Points forts

  • Liste de vérification systématique pour explorer une nouvelle base de code.
  • Couvre les types de projet, frameworks, schémas d'architecture et flux de données.
  • Priorise les fichiers clés comme les documents stratégiques et le README.
  • Commandes pratiques pour cartographier les dépendances.

Limites

  • Suppose des structures de projet standard ; les configurations personnalisées peuvent nécessiter une adaptation.
  • Dépend de la présence de fichiers spécifiques (ex. dossier strategy) qui peuvent ne pas exister.
  • Ne peut pas interpréter automatiquement la logique métier ou la complexité du domaine.
Quand l'utiliser

Lorsque vous devez rapidement vous familiariser avec un nouveau projet ou contribuer à une base de code inconnue.

Quand l'éviter

Lorsque la base de code est très petite et simple (exagéré) ou lorsque vous avez déjà une connaissance approfondie.

Analyse de sécurité

Sûr
Score qualité88/100

The skill describes patterns and techniques for understanding project structures, with no instructions for destructive or exfiltrating actions. All commands shown are read-only and non-obfuscated.

Aucun point d'attention détecté

Exemples

Analyze project structure
I need to understand this codebase. Start by identifying the project type and framework, then map out the key directories and dependencies.
Map data flow
What are the entry points and how does data flow through this application? Trace from request to response.
Architecture summary
Analyze the architecture of this project and summarize the main components, their interactions, and the tech stack used.

name: analyzing-projects description: Knowledge and patterns for understanding project structures, architectures, and codebases.

Analyzing Projects Skill

This skill provides patterns and techniques for understanding unfamiliar codebases and project structures.

Quick Reconnaissance

1. Project Type Detection

Check for key files to identify the project type:

| File | Indicates | |------|-----------| | package.json | Node.js project | | pyproject.toml | Modern Python project | | requirements.txt | Python project | | go.mod | Go project | | Cargo.toml | Rust project | | pom.xml | Java Maven project | | build.gradle | Java Gradle project | | Gemfile | Ruby project |

2. Framework Detection

| File/Pattern | Framework | |--------------|-----------| | next.config.js | Next.js | | vite.config.ts | Vite | | angular.json | Angular | | src/App.vue | Vue.js | | manage.py | Django | | app.py / Flask imports | Flask | | main.go | Go | | src/main.rs | Rust |

3. Architecture Patterns

Look for these directory structures:

# Monolith
src/
  models/
  views/
  controllers/

# Microservices
services/
  user-service/
  order-service/
  payment-service/

# Domain-Driven Design
src/
  domain/
  application/
  infrastructure/

# Feature-based
src/
  features/
    auth/
    dashboard/
    settings/

Key Files to Read First

  1. /strategy/VISION.md - Strategic context (if exists)
  2. /strategy/OKRs.md - Current priorities (if exists)
  3. /strategy/adrs/ - Architecture decisions (if exists)
  4. README.md - Project overview and setup
  5. package.json / pyproject.toml - Dependencies and scripts
  6. docker-compose.yml - Services and infrastructure
  7. .env.example - Required configuration
  8. Makefile / justfile - Available commands

Strategy Folder (if present)

If a /strategy/ folder exists, prioritize reading:

| File | Purpose | |------|---------| | VISION.md | North star, strategic bets, non-goals | | OKRs.md | Current quarter objectives | | epics/*.md | Active feature initiatives | | tasks/*.md | Specific work items | | adrs/*.md | Settled architectural decisions |

Mapping Dependencies

External Dependencies

# Python
cat pyproject.toml | grep -A 100 "\[dependencies\]"

# Node
cat package.json | jq '.dependencies, .devDependencies'

Internal Dependencies

# Find imports
grep -rh "^import\|^from" src/ | sort | uniq -c | sort -rn

# Find module usage
grep -rn "from src\." . --include="*.py"

Understanding Data Flow

  1. Entry points - Where requests come in
  2. Routes/Controllers - Request handling
  3. Services - Business logic
  4. Models - Data structures
  5. Repositories - Data access
  6. External APIs - Outbound calls

Common Patterns to Identify

Authentication

  • JWT tokens
  • Session-based
  • OAuth providers

Database

  • ORM (SQLAlchemy, Prisma, TypeORM)
  • Raw SQL
  • NoSQL (MongoDB, Redis)

API Style

  • REST
  • GraphQL
  • gRPC
  • WebSocket

Testing Strategy

  • Unit tests
  • Integration tests
  • E2E tests

Analysis Checklist

  • [ ] Does a /strategy/ folder exist? If so, read VISION.md and OKRs.md first.
  • [ ] Are there ADRs in /strategy/adrs/? These contain settled decisions.
  • [ ] What type of project is this?
  • [ ] What framework(s) are used?
  • [ ] What is the directory structure pattern?
  • [ ] What are the main entry points?
  • [ ] What are the key dependencies?
  • [ ] How is configuration managed?
  • [ ] What testing approach is used?
  • [ ] How is the project built and deployed?
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