Notre avis
Génère un fichier CODEMAP.md qui sert de carte de navigation pour un codebase, incluant diagrammes d'architecture et annotations de structure.
Points forts
- Analyse automatique de la pile technologique et de la structure des répertoires
- Génération de diagrammes Mermaid pour les architectures applicatives et IaC
- Détection intelligente de la profondeur selon la taille du projet
- Gestion des mises à jour via fusion avec les ajouts manuels
Limites
- Nécessite que les outils comme terraform graph soient initialisés pour les diagrammes IaC avancés
- Peut ne pas capturer toutes les relations complexes dans les très gros projets
- Le fichier généré peut devenir obsolète si le codebase évolue sans régénération
Utilisez ce skill pour créer rapidement une carte de navigation complète d'un codebase, idéal pour l'onboarding ou l'audit de projet.
Évitez de l'utiliser sur des projets extrêmement volumineux sans filtrage préalable, ou lorsque le temps d'exécution est limité car l'analyse peut être lourde.
Analyse de sécurité
SûrThe skill uses only safe, prefixed Bash commands (ast-grep, terraform graph) for code analysis and infrastructure inspection. No destructive operations, network requests, or obfuscated payloads. Write access is limited to generating CODEMAP.md files. No exfiltration or privilege escalation risks.
Aucun point d'attention détecté
Exemples
Generate a CODEMAP.md for this project, including an architecture diagram and tech stack summary.Create a detailed map of the infrastructure as code in this repository, with Terraform resource relationships.Update the existing CODEMAP.md to reflect recent changes in the project structure, merging in any manual additions.name: codemap description: Generate navigational codebase maps with architecture diagrams. Use when mapping a codebase, creating architecture docs, visualizing project structure, generating infrastructure diagrams, understanding repo layout, or onboarding to a new project. allowed-tools:
- Read
- Write(./**)
- Glob
- Grep
- Bash(ast-grep:*)
- Bash(terraform graph:*)
- AskUserQuestion
- Task
Codemap Generator
Generate CODEMAP.md files that help humans and AI agents navigate codebases.
Output Separation
- CODEMAP.md = Auto-generated navigation map (this skill creates/updates)
- ARCHITECTURE.md = Hand-written design decisions (never touch)
Workflow
Phase 1: Project Analysis
-
Count files to determine project size:
- Use Glob with pattern
**/*excluding vendored paths - Exclude:
node_modules/,vendor/,__pycache__/,target/,.terraform/,.* - Count results to determine depth
- Use Glob with pattern
-
Detect project type(s):
- Check for IaC patterns (Terraform, Ansible, K8s, etc.)
- Check for application code (package.json, go.mod, requirements.txt, etc.)
- Projects can be mixed (app + infra)
-
Set depth based on file count: | Files | Depth | Output | |-------|-------|--------| | <50 | shallow | Single root CODEMAP.md | | 50-500 | medium | Root + key directories | | >500 | deep | Root + 2 levels, skip vendored |
Phase 2: Existing File Check
STOP. Check for existing CODEMAP.md before proceeding.
Before generating, check if CODEMAP.md exists.
If exists: Use AskUserQuestion with options:
- Overwrite completely
- Merge/update (preserve manual additions)
- Abort
If not exists: Proceed to generation.
Do NOT proceed to Phase 3 until resolved.
Phase 3: Content Generation
Generate sections based on what's detected:
For Application Code
- Tech Stack - languages, frameworks, key dependencies
- Directory Structure - annotated tree with purpose per directory
- Entry Points - main files, CLI commands, API servers
- Code Architecture Diagram - mermaid showing component relationships
- Key Files Reference - important files with one-line descriptions
For Infrastructure Code
- IaC Stack - Terraform, Ansible, K8s, etc.
- Infrastructure Topology Diagram - mermaid showing resource relationships
- Module/Role Hierarchy Diagram - mermaid showing code organization
- Resource Inventory - what's managed, providers used
For Mixed Repos
Include both sections with clear delineation.
Phase 4: Output
Write CODEMAP.md to project root (and subdirectories if depth warrants).
Detection Patterns
Application Code
| Indicator | Stack |
|-----------|-------|
| package.json | Node.js/JavaScript/TypeScript |
| go.mod | Go |
| Cargo.toml | Rust |
| requirements.txt, pyproject.toml, setup.py | Python |
| pom.xml, build.gradle | Java |
| Gemfile | Ruby |
| composer.json | PHP |
| *.csproj, *.sln | .NET |
Infrastructure as Code
| Indicator | Tool | Analysis Method |
|-----------|------|-----------------|
| *.tf files | Terraform | Parse resources, modules, use terraform graph if initialized |
| playbook*.yml + roles/ | Ansible | Map playbooks → roles → tasks |
| kind: in YAML, kustomization.yaml | Kubernetes | Parse manifests, map services/deployments |
| Chart.yaml | Helm | Parse templates, values |
| Pulumi.yaml | Pulumi | Treat like application code |
| AWSTemplateFormatVersion | CloudFormation | Parse resources, nested stacks |
| docker-compose.yml | Docker Compose | Map services, networks, volumes |
Mermaid Diagram Patterns
Code Architecture (Component Relationships)
graph TD
subgraph "API Layer"
A[REST API]
B[GraphQL]
end
subgraph "Business Logic"
C[Services]
D[Domain Models]
end
subgraph "Data Layer"
E[Repositories]
F[Database]
end
A --> C
B --> C
C --> D
C --> E
E --> F
Infrastructure Topology
graph LR
subgraph "AWS"
ALB[Load Balancer]
subgraph "ECS Cluster"
SVC1[Service A]
SVC2[Service B]
end
RDS[(PostgreSQL)]
REDIS[(Redis)]
end
ALB --> SVC1
ALB --> SVC2
SVC1 --> RDS
SVC2 --> RDS
SVC1 --> REDIS
Module Hierarchy (Terraform)
graph TD
ROOT[Root Module]
ROOT --> VPC[modules/vpc]
ROOT --> ECS[modules/ecs]
ROOT --> RDS[modules/rds]
ECS --> SG[modules/security-groups]
RDS --> SG
Analysis Techniques
Import Graph (AST-based)
For JS/TS:
ast-grep --pattern 'import $_ from "$SOURCE"' --lang ts
ast-grep --pattern 'require("$SOURCE")' --lang js
For Python:
ast-grep --pattern 'from $MODULE import $_' --lang python
ast-grep --pattern 'import $MODULE' --lang python
For Go:
ast-grep --pattern 'import "$PKG"' --lang go
Entry Point Detection
| File Pattern | Type |
|--------------|------|
| main.go, main.py, main.ts | Application entry |
| index.ts, index.js | Module entry |
| cli.py, cli.ts, cmd/ | CLI entry |
| server.ts, app.py, api/ | Server entry |
| *_test.go, *.test.ts, test_*.py | Test entry |
Terraform Resource Parsing
Extract from *.tf:
resourceblocks → managed infrastructuremoduleblocks → dependenciesproviderblocks → cloud targetsdatablocks → external references
If .terraform/ exists and terraform init has been run, can use:
terraform graph | # convert DOT to mermaid
Note: terraform graph requires initialized state. Skip if .terraform/ missing or init incomplete.
Output Template
# Codemap
> Auto-generated navigation map. Last updated: {date}
> For design decisions, see ARCHITECTURE.md (if exists)
## Tech Stack
- **Languages**: {detected languages}
- **Frameworks**: {detected frameworks}
- **Infrastructure**: {detected IaC tools}
## Directory Structure
\`\`\`
{annotated tree}
\`\`\`
## Code Architecture
\`\`\`mermaid
{component diagram}
\`\`\`
## Infrastructure Topology
\`\`\`mermaid
{infra diagram}
\`\`\`
## Entry Points
| Entry | Purpose | Command |
|-------|---------|---------|
| {file} | {purpose} | {how to run} |
## Key Files
| File | Purpose |
|------|---------|
| {path} | {description} |
Edge Cases
- Monorepos: Detect workspace patterns (lerna, nx, turborepo, go workspaces), generate per-package maps
- No clear structure: Generate minimal map with warnings about organization
- Vendored code: Always exclude from analysis (node_modules, vendor, .terraform, pycache)
- Generated code: Detect and label (protobuf, OpenAPI, etc.)
Generateur de Documentation API
Documentation
Genere automatiquement de la documentation API OpenAPI/Swagger.
Rédacteur Technique
Documentation
Rédige de la documentation technique claire selon les meilleurs style guides.
Architecte de Documentation Technique
Documentation
Analyse un code source existant pour produire une documentation technique complète (10 à 100+ pages), inclant des vues d'architecture, des décisions de conception et des guides de dépannage. Idéal pour la documentation système, les guides d'architecture ou les plongées techniques.