Registre de preuve de covoiturage
Official@covoiturage-gouv-fr · France
Le tiers de confiance du covoiturage courte distance intermédié
Agent Skills by Registre de preuve de covoiturage
Showing 7 vetted skills indexed across 1 GitHub repositories.
sqlmesh
Plan and deploy SQLMesh models across raw_zone, trusted_zone, and refined_zone.
check-qa
Review code changes against Deno lint, format, and project conventions.
check-doc
Identify documentation drift by analyzing recent git diffs against project docs.
frontend
Define frontend patterns for Next.js 15, DSFR, and map/chart integrations.
check-security
Review git diffs for security issues and generate structured reports.
api
Automate Deno/TypeScript backend API creation with an IoC framework.
check-perf
Analyze code diffs for performance issues and optimization opportunities.
Frequently Asked Questions About Registre de preuve de covoiturage
FAQPage SchemaWhat specific tasks does this registry enable for transit data?▼
This registry enables the deployment of structured data models across raw, trusted, and refined zones using SQLMesh. It facilitates the creation of backend services via Deno and TypeScript while ensuring frontend consistency through Next.js 15 and DSFR design patterns for public transit mapping and charting.
Which technical personas benefit from these registry capabilities?▼
Data engineers, backend developers, and quality assurance specialists benefit from these capabilities. The registry provides standardized patterns for SQL modeling, backend service construction, and automated code review processes, ensuring that transit data systems remain performant, secure, and compliant with project-specific documentation standards.
What are the prerequisites for implementing these registry patterns?▼
Implementation requires a Deno runtime environment for backend services and a Next.js 15 framework for frontend development. Users must also maintain a Git-based version control system to support the registry's diff-based analysis for security, performance, and documentation drift detection.