Terraformer - Reverse-engineering Infrastructure

VérifiéSûr

Outil Terraformer pour convertir automatiquement l'infrastructure cloud existante en code Terraform. Importez les ressources depuis AWS, Azure, GCP et autres fournisseurs pour la migration et la documentation.

Spar Skills Guide Bot
DevOpsIntermédiaire
04/03/2026
Claude CodeCursorCodex
#terraform#infrastructure-as-code#cloud-migration#terraformer#resource-import

Recommandé pour

Synthèse automatique

Guide l'utilisation de Terraformer pour convertir une infrastructure cloud existante en fichiers Terraform (HCL et state) en découvrant les ressources via les API des fournisseurs.

Points forts

  • Couvre plus de 40 fournisseurs, dont AWS, Azure, GCP, OCI, Kubernetes et GitHub
  • Permet des imports ciblés par type de ressource, région, tag ou nom plutôt qu'un import complet du compte
  • Produit à la fois les blocs de ressources .tf, le fichier .tfstate et les configurations de provider
  • Utile pour documenter une infrastructure non documentée ou préparer une reprise après sinistre

Limites

  • Nécessite le binaire Terraformer installé et des identifiants cloud disposant des droits de lecture
  • Le code généré est un point de départ brut : peu de modularisation et un nettoyage manuel souvent nécessaire
  • Les fichiers de state générés peuvent contenir des secrets et doivent être stockés de façon sécurisée
Quand l'utiliser

À utiliser lorsqu'il faut importer une infrastructure déjà en production (brownfield) dans Terraform ou en produire une documentation exploitable.

Quand l'éviter

À éviter pour créer une infrastructure nouvelle depuis zéro ou lorsque les credentials cloud ne peuvent pas être accordés à un outil d'import.

Analyse de sécurité

Sûr
Score qualité85/100

The skill provides instructions for using Terraformer, a legitimate infrastructure-as-code tool. It involves running Bash commands that interact with cloud provider APIs and generate Terraform configuration, which is the intended purpose. No destructive, exfiltrating, or obfuscated actions are present. Network access and credential usage are expected and necessary for the tool's functionality.

Aucun point d'attention détecté

Comment cette analyse est faite

Exemples

Import AWS resources
Use Terraformer to import our AWS VPC and EC2 resources from us-east-1 into Terraform, then show me the generated .tf files and state.
Reverse-engineer Azure setup
Reverse engineer our Azure resource groups and VNets into Terraform configuration so we can manage them as code.
Document Kubernetes resources
Generate Terraform code from the Deployments and Services in our Kubernetes cluster to document what's currently running.

name: terraformer description: Terraformer tool for reverse-engineering existing cloud infrastructure into Terraform code. Import resources from AWS, Azure, GCP, Kubernetes, and other providers. Generate Terraform configurations from running infrastructure for migration, disaster recovery, and infrastructure documentation. allowed-tools:

  • Bash
  • Read
  • Write
  • Edit
  • Glob
  • Grep
  • Task
  • WebFetch
  • WebSearch dependencies:
  • terraform-enterprise triggers:
  • terraformer
  • reverse engineer
  • import infrastructure
  • terraform import
  • cloud import
  • infrastructure discovery
  • terraform generate
  • import aws
  • import azure
  • import gcp
  • infrastructure migration

Terraformer Skill

Comprehensive Terraformer tool expertise for reverse-engineering existing cloud infrastructure into Terraform code. Transform brownfield infrastructure into infrastructure-as-code with automated resource discovery and code generation.

When to Use This Skill

Activate this skill when:

  • Migrating existing infrastructure to Terraform
  • Documenting undocumented infrastructure
  • Creating disaster recovery configurations
  • Reverse-engineering manually created resources
  • Auditing cloud resource configurations
  • Generating Terraform code from existing resources
  • Consolidating multi-account or multi-region infrastructure
  • Creating baseline configurations for new environments
  • Importing resources from multiple cloud providers
  • Validating infrastructure drift

What is Terraformer?

Terraformer is a CLI tool that generates Terraform configuration files from existing infrastructure. It uses cloud provider APIs to discover resources and automatically creates:

  • Terraform resource blocks (.tf files)
  • Terraform state files (.tfstate)
  • Variable definitions
  • Provider configurations

Best for: Brownfield infrastructure, migration projects, infrastructure discovery, documentation generation

Supported Providers

Terraformer supports 40+ providers including:

Major Cloud Providers

  • AWS: 150+ resource types including VPC, EC2, RDS, S3, IAM, Lambda, EKS, etc.
  • Azure: Resource Groups, VNets, VMs, AKS, Storage, Key Vault, App Services
  • GCP: Projects, VPC, GCE, GKE, Cloud SQL, IAM, Cloud Functions, Storage
  • Oracle Cloud Infrastructure (OCI): Compute, networking, storage, databases

Container & Orchestration

  • Kubernetes: Deployments, Services, ConfigMaps, Secrets, Ingress, PVCs
  • OpenShift: Routes, DeploymentConfigs, BuildConfigs
  • Cloud Foundry: Apps, services, routes

Other Providers

  • GitHub: Repositories, teams, webhooks
  • Datadog: Monitors, dashboards, users
  • New Relic: Alerts, dashboards
  • Cloudflare: DNS, firewall rules
  • Fastly: Services, backends
  • Heroku: Apps, addons, pipelines

Core Capabilities

Resource Discovery

  • Automated scanning of cloud accounts
  • Multi-region resource discovery
  • Filtered imports by resource type, tag, or name
  • Bulk import operations
  • Cross-account discovery

Code Generation

  • HCL (Terraform language) file generation
  • State file creation
  • Variable extraction
  • Output definitions
  • Provider configurations

Import Strategies

  • Full account import: All resources in an account/subscription
  • Selective import: Specific resource types or services
  • Filtered import: By tags, names, or patterns
  • Region-specific import: Single or multi-region
  • Resource dependency mapping: Maintains relationships

State Management

  • Generates valid Terraform state
  • Supports remote state backends
  • State file splitting by resource type
  • Incremental state updates

Installation

# macOS
brew install terraformer

# Linux
curl -LO https://github.com/GoogleCloudPlatform/terraformer/releases/download/$(curl -s https://api.github.com/repos/GoogleCloudPlatform/terraformer/releases/latest | grep tag_name | cut -d '"' -f 4)/terraformer-linux-amd64
chmod +x terraformer-linux-amd64
sudo mv terraformer-linux-amd64 /usr/local/bin/terraformer

# Windows
choco install terraformer

# Verify installation
terraformer version

Basic Usage Pattern

# Basic import command structure
terraformer import <provider> \
  --resources=<resource_types> \
  --regions=<regions> \
  --filter=<filters> \
  --path-pattern=<output_path> \
  --compact

# Example: Import AWS VPC resources in us-east-1
terraformer import aws \
  --resources=vpc,subnet,security_group \
  --regions=us-east-1 \
  --compact

Common Workflows

1. Discover Existing Infrastructure

# List available resources for a provider
terraformer import aws --resources=* --regions=us-east-1 --dry-run

# AWS: List all resource types
terraformer import aws list

# Azure: List resource types
terraformer import azure list

# GCP: List resource types
terraformer import google list

2. Selective Resource Import

# Import specific resource types
terraformer import aws \
  --resources=vpc,subnet,route_table,internet_gateway \
  --regions=us-east-1,us-west-2 \
  --compact

# Import with tag filtering
terraformer import aws \
  --resources=ec2_instance \
  --regions=us-east-1 \
  --filter="Name=tag:Environment;Value=production" \
  --compact

# Import by resource ID
terraformer import aws \
  --resources=s3 \
  --filter="Name=id;Value=my-bucket-name" \
  --compact

3. Full Account Import

# Import all resources (careful - can be large!)
terraformer import aws \
  --resources=* \
  --regions=us-east-1 \
  --compact \
  --path-pattern={output}/aws/{region}/{service}

# Azure resource group import
terraformer import azure \
  --resources=* \
  --resource-group=my-resource-group

# GCP project import
terraformer import google \
  --resources=* \
  --projects=my-project-id \
  --regions=us-central1

4. Multi-Region Import

# Import from multiple regions
terraformer import aws \
  --resources=vpc,ec2_instance,rds \
  --regions=us-east-1,us-west-2,eu-west-1 \
  --compact \
  --path-pattern={output}/aws/{region}

5. Kubernetes Import

# Import Kubernetes resources
terraformer import kubernetes \
  --resources=deployments,services,configmaps,secrets \
  --namespace=production

# Import all namespaced resources
terraformer import kubernetes \
  --resources=* \
  --namespace=default

Output Structure

After running Terraformer, the output directory contains:

generated/
└── aws/
    └── us-east-1/
        ├── vpc/
        │   ├── vpc.tf                    # Resource definitions
        │   ├── terraform.tfstate         # Generated state
        │   ├── variables.tf              # Variable definitions
        │   └── outputs.tf                # Output definitions
        ├── ec2_instance/
        │   ├── ec2_instance.tf
        │   ├── terraform.tfstate
        │   └── variables.tf
        └── security_group/
            ├── security_group.tf
            └── terraform.tfstate

Post-Import Workflow

1. Review Generated Code

# Navigate to output directory
cd generated/aws/us-east-1/vpc

# Review generated Terraform
cat vpc.tf

# Check state file
terraform state list

2. Clean Up and Refactor

# Common cleanup tasks:
# - Remove unnecessary tags
# - Extract hardcoded values to variables
# - Consolidate repeated patterns into modules
# - Remove default values
# - Organize files by logical grouping
# - Add meaningful resource names

3. Initialize and Validate

# Initialize Terraform
terraform init

# Validate configuration
terraform validate

# Plan to verify no changes
terraform plan
# Expected: No changes. Infrastructure is up-to-date.

4. Integrate with Existing Projects

# Option 1: Merge state files
terraform state pull > original.tfstate
# Manually merge or use terraform state mv

# Option 2: Use terraform_remote_state data source
# Reference imported resources from other projects

# Option 3: Import into existing state
terraform import aws_vpc.main vpc-12345678

Advanced Features

Filtering Strategies

# By tag
terraformer import aws \
  --resources=ec2_instance \
  --filter="Name=tag:Team;Value=platform"

# By name pattern
terraformer import aws \
  --resources=s3 \
  --filter="Name=id;Value=prod-*"

# Multiple filters
terraformer import aws \
  --resources=rds \
  --filter="Name=tag:Environment;Value=production" \
  --filter="Name=engine;Value=postgres"

# Exclude pattern
terraformer import aws \
  --resources=vpc \
  --excludes="default-vpc-*"

Custom Path Patterns

# Organize by environment and region
terraformer import aws \
  --resources=* \
  --regions=us-east-1 \
  --path-pattern=generated/{provider}/{region}/{environment}

# Organize by service
terraformer import aws \
  --resources=vpc,subnet,route_table \
  --path-pattern=generated/networking/{service}

Compact Mode

# Compact mode reduces file size and improves readability
terraformer import aws \
  --resources=vpc \
  --compact  # Removes comments and formatting

Plan File Generation

# Generate plan file for review
terraformer plan aws \
  --resources=vpc \
  --regions=us-east-1

# Review plan
terraform show plan.out

Integration with Terraform Enterprise

Migrating to Remote State

# 1. Import infrastructure locally
terraformer import aws --resources=vpc --regions=us-east-1

# 2. Configure remote backend
cat > backend.tf <<EOF
terraform {
  backend "s3" {
    bucket         = "my-terraform-state"
    key            = "imported/vpc/terraform.tfstate"
    region         = "us-east-1"
    encrypt        = true
    dynamodb_table = "terraform-locks"
  }
}
EOF

# 3. Initialize with backend
terraform init

# 4. Push state to remote
terraform state push terraform.tfstate

Creating Modules from Imports

# 1. Import resources
terraformer import aws --resources=vpc,subnet --compact

# 2. Refactor into module structure
mkdir -p modules/vpc
mv generated/aws/us-east-1/vpc/*.tf modules/vpc/

# 3. Create module interface
# Edit modules/vpc/variables.tf, outputs.tf, main.tf

# 4. Use module in root config
cat > main.tf <<EOF
module "vpc" {
  source = "./modules/vpc"

  cidr_block = "10.0.0.0/16"
  name       = "production-vpc"
}
EOF

Best Practices

Before Import

  1. Audit existing infrastructure: Document what exists
  2. Plan resource organization: Decide on module structure
  3. Set up version control: Initialize git repository
  4. Configure authentication: Set up cloud provider credentials
  5. Test on non-production first: Validate process safely

During Import

  1. Use filters: Import only what you need
  2. Import incrementally: Start with core services
  3. Use compact mode: Improve readability
  4. Organize by service: Use path patterns
  5. Document decisions: Add comments explaining why

After Import

  1. Review all generated code: Don't blindly trust output
  2. Run terraform plan: Verify no drift
  3. Refactor immediately: Clean up before it grows
  4. Extract variables: Remove hardcoded values
  5. Add validation: Implement input validation
  6. Create modules: Consolidate repeated patterns
  7. Document architecture: Update documentation
  8. Set up CI/CD: Automate validation and deployment
  9. Enable state locking: Prevent concurrent modifications
  10. Implement policy checks: Add Sentinel/OPA policies

Common Use Cases

1. Disaster Recovery Setup

# Import production infrastructure
terraformer import aws \
  --resources=vpc,subnet,ec2_instance,rds,s3 \
  --regions=us-east-1 \
  --filter="Name=tag:Environment;Value=production"

# Modify for DR region
# - Change region variables
# - Update CIDR blocks if needed
# - Adjust instance sizes for cost

# Deploy to DR region
terraform apply -var="region=us-west-2"

2. Multi-Account Consolidation

# Import from Account A
export AWS_PROFILE=account-a
terraformer import aws \
  --resources=* \
  --regions=us-east-1 \
  --path-pattern=generated/account-a/{service}

# Import from Account B
export AWS_PROFILE=account-b
terraformer import aws \
  --resources=* \
  --regions=us-east-1 \
  --path-pattern=generated/account-b/{service}

# Consolidate and standardize
# Create unified modules from both accounts

3. Infrastructure Documentation

# Import all infrastructure
terraformer import aws --resources=* --regions=us-east-1

# Generate documentation
terraform-docs markdown . > INFRASTRUCTURE.md

# Create architecture diagrams
terraform graph | dot -Tpng > architecture.png

4. Migration to Terraform

# Phase 1: Import existing resources
terraformer import aws --resources=vpc,subnet,route_table

# Phase 2: Validate no drift
terraform plan  # Should show no changes

# Phase 3: Make infrastructure changes via Terraform
# Edit .tf files, run terraform apply

# Phase 4: Decommission manual processes
# Update runbooks, disable console access

Troubleshooting

Issue: Import Fails with Authentication Error

Solution: Verify cloud provider credentials

# AWS
aws sts get-caller-identity
export AWS_PROFILE=my-profile

# Azure
az account show
az login

# GCP
gcloud auth list
gcloud config set project my-project

Issue: Too Many Resources Generated

Solution: Use filters to limit scope

# Instead of importing all resources
terraformer import aws --resources=* # DON'T DO THIS

# Import specific services
terraformer import aws --resources=vpc,ec2_instance,rds

Issue: Plan Shows Drift After Import

Solution: Review for default values and formatting

# Common causes:
# - Default tags added by provider
# - Computed values not captured
# - Different attribute formatting

# Fix by:
# 1. Adding lifecycle ignore_changes
# 2. Removing default values
# 3. Adjusting attribute formatting

Issue: State File Too Large

Solution: Split into smaller state files

# Import with path pattern
terraformer import aws \
  --resources=* \
  --path-pattern=generated/{service}

# Each service gets its own state file

Issue: Missing Dependencies

Solution: Import dependent resources together

# Import VPC and all related resources
terraformer import aws \
  --resources=vpc,subnet,route_table,internet_gateway,nat_gateway,security_group \
  --regions=us-east-1

Issue: Resource Names Not Meaningful

Solution: Refactor after import

# Before: aws_instance.tfer--i-0123456789abcdef0
# After:  aws_instance.web_server_1

# Use terraform state mv to rename
terraform state mv \
  'aws_instance.tfer--i-0123456789abcdef0' \
  'aws_instance.web_server_1'

Provider-Specific Notes

AWS

  • Requires AWS credentials (env vars, AWS CLI, or IAM role)
  • Supports 150+ resource types
  • Can import across multiple accounts with profiles
  • Best filtering support via tags and resource IDs

Azure

  • Requires Azure CLI authentication
  • Organizes by resource groups
  • Supports managed identities
  • Use --resource-group flag for scoped imports

GCP

  • Requires gcloud authentication
  • Organizes by projects
  • Use --projects flag for project selection
  • Supports service account authentication

Kubernetes

  • Uses current kubeconfig context
  • Can specify namespace with --namespace
  • Supports multiple clusters via context switching
  • Imports CRDs (Custom Resource Definitions)

Performance Optimization

Speed Up Large Imports

# Use parallelism (experimental)
terraformer import aws \
  --resources=ec2_instance \
  --regions=us-east-1,us-west-2 \
  --parallel=4

# Import only recent resources
terraformer import aws \
  --resources=ec2_instance \
  --filter="Name=launch-time;Value=2024-01-01"

# Use compact mode (faster processing)
terraformer import aws \
  --resources=* \
  --compact

Reduce Output Size

# Use excludes to skip unwanted resources
terraformer import aws \
  --resources=* \
  --excludes="default-*,terraform-*"

# Split by service
terraformer import aws \
  --resources=vpc \
  --path-pattern=generated/{service}

Security Considerations

  1. Credential Management: Use temporary credentials or IAM roles
  2. State File Security: State files contain sensitive data
  3. Audit Logging: Enable CloudTrail/Activity Logs for import operations
  4. Least Privilege: Use read-only permissions for import
  5. Sensitive Data: Review for secrets, passwords, API keys
  6. Encryption: Encrypt state files at rest and in transit
  7. Access Control: Restrict who can run terraformer

File References

Core References

  • references/providers.md - Provider-specific import patterns and examples
  • references/import-workflow.md - Step-by-step import process and best practices
  • references/filters.md - Advanced filtering techniques and patterns
  • references/post-import.md - Cleanup, refactoring, and optimization guide

Examples

  • examples/aws-import.sh - AWS infrastructure import script
  • examples/azure-import.sh - Azure resource import script
  • examples/gcp-import.sh - GCP project import script
  • examples/kubernetes-import.sh - Kubernetes cluster import script
  • examples/multi-cloud-import.sh - Multi-cloud consolidated import

Integration Points

With Other Skills

  • terraform-enterprise: Use imported code with Terraform workflows
  • iac-architecture: Design patterns for organizing imported infrastructure
  • vault-operations: Manage secrets discovered during import

With Commands

  • /iac:import: Guided terraformer import workflow
  • /iac:validate: Validate imported Terraform code
  • /iac:refactor: Refactor imported code into modules

With Agents

  • terraform-import-specialist: Orchestrate complex imports
  • terraform-architect: Review and optimize imported code
  • infrastructure-auditor: Analyze imported infrastructure for compliance

Related Documentation

Version Compatibility

  • Terraformer >= 0.8.24 (latest stable)
  • Terraform >= 1.0.0 (required)
  • Provider versions: Latest stable recommended
  • Cloud provider CLI tools for authentication

Quick Reference

Essential Commands

# List available providers
terraformer --help

# List resources for a provider
terraformer import aws list

# Dry run (preview)
terraformer import aws --resources=vpc --dry-run

# Basic import
terraformer import aws --resources=vpc --regions=us-east-1

# Filtered import
terraformer import aws --resources=vpc --filter="Name=tag:Env;Value=prod"

# Multi-region import
terraformer import aws --resources=vpc --regions=us-east-1,us-west-2

# Import all resources
terraformer import aws --resources=* --regions=us-east-1 --compact

Common Filters

# By tag
--filter="Name=tag:Environment;Value=production"

# By resource ID
--filter="Name=id;Value=vpc-12345678"

# By name pattern
--filter="Name=name;Value=prod-*"

# Multiple filters (AND logic)
--filter="Name=tag:Team;Value=platform" --filter="Name=tag:Env;Value=prod"

Output Organization

# By service
--path-pattern=generated/{service}

# By region
--path-pattern=generated/{region}/{service}

# By environment
--path-pattern=generated/{environment}/{service}

# Custom hierarchy
--path-pattern=infrastructure/{provider}/{region}/{environment}/{service}

Du fichier au premier essai

Le téléchargement contient exactement le contenu affiché sur cette fiche. Cette copie peut différer de la dernière version du dépôt source.

Consulter la source et ses fichiers annexes

Ce téléchargement contient uniquement SKILL.md. Les scripts, références, modèles et dépendances éventuels ne sont pas inclus. Récupérez les fichiers nécessaires depuis la source en conservant leur arborescence avant de poursuivre.

1. Télécharger le fichier

Télécharger SKILL.md

Depuis la racine d’un projet de test, enregistrez le fichier sous .skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md, ou utilisez la commande suivante. Ce dossier sert à examiner la skill avant son installation.

Commande pour macOS/Linux ou WSL : un shell POSIX et curl sont nécessaires. Sous Windows sans WSL, utilisez le bouton de téléchargement et créez le dossier manuellement.

mkdir -p '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/terraformer-infrastructure-reverse-engineering-mmbizjw5/download' --output '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md.part' && mv '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md.part' '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md'

2. Vérifier les prérequis

Lisez SKILL.md avant de l’utiliser. Si le fichier cite des scripts ou services externes, examinez-les et préparez les accès nécessaires dans votre environnement de test.

Extrait original : Installation
# macOS
brew install terraformer

# Linux
curl -LO https://github.com/GoogleCloudPlatform/terraformer/releases/download/$(curl -s https://api.github.com/repos/GoogleCloudPlatform/terraformer/releases/latest | grep tag_name | cut -d '"' -f 4)/terraformer-linux-amd64
chmod +x terraformer-linux-amd64
sudo mv terraformer-linux-amd64 /usr/local/bin/terraformer

# Windows
choco install terraformer

# Verify installation
terraformer version

Les plateformes de la fiche sont des indications du catalogue. Les chemins ci-dessous suivent la documentation des outils ; ils ne prouvent pas que cette skill y a été exécutée. Aucune version minimale de ces outils n’est attestée pour cette fiche.

3. Charger la skill

Après vérification, copiez le dossier complet dans le projet avec l’une des commandes ci-dessous, puis ouvrez une nouvelle session de l’outil. La commande s’arrête si un dossier du même nom existe déjà : comparez les fichiers avant de le remplacer.

Claude Code
test -f '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md' && test -s '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/terraformer' && cp -R '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5' '.claude/skills/terraformer'

Cursor
test -f '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md' && test -s '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/terraformer' && cp -R '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5' '.cursor/skills/terraformer'

Codex
test -f '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md' && test -s '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/terraformer' && cp -R '.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5' '.agents/skills/terraformer'

OpenSkills

OpenSkills doit déjà être installé. La procédure locale install/read est contrôlée avec OpenSkills 1.5.0, qui exige Node.js ≥ 20.6.0. Aucun slug du catalogue n’est résolu automatiquement.

Installation officielle d’OpenSkills
openskills install './.skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5'

openskills read 'terraformer-infrastructure-reverse-engineering-mmbizjw5'

La lecture doit afficher le contenu du fichier installé et son dossier de base. Elle ne lance ni la skill ni ses dépendances.

Pour un agent qui lit AGENTS.md, synchronisez ensuite l’index. Cette commande modifie AGENTS.md : relisez le diff avant de l’utiliser.

openskills sync

Mode manuel ou autre outil : joignez SKILL.md à une conversation, ou ouvrez-le dans un agent capable de lire les fichiers. Ajoutez les ressources annexes nécessaires. Il n’existe pas de dossier universel reconnu par tous les outils.

4. Faire un premier essai

Utilisez une entrée courte et fictive : un endpoint d’API, un petit document ou un brief d’interface. Dans une nouvelle conversation, joignez le fichier ou donnez son chemin à l’agent, puis adaptez cette demande :

Lis .skill-downloads/terraformer-infrastructure-reverse-engineering-mmbizjw5/SKILL.md et applique ses instructions à cet exemple : [décrire une entrée de test]. Indique les fichiers, dépendances ou accès qui manquent. Produis le résultat demandé par la skill sans inventer de données ni exécuter de script non examiné.

Résultat attendu : une sortie correspondant aux instructions de la skill, ou une liste précise des prérequis manquants. Une simple confirmation de lecture ne valide pas le premier usage. Si une ressource externe est indisponible, ce parcours reste à tester.

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