This is a living catalog. An Accelerator is reusable (more than one team can use it) and supported (someone owns it and keeps it working). See SP Foundation for the full strategy.
12 Active
Shipped and supported
Org Default
Standard for all teams
Core Platform
Owns the catalog
Q4 2026
Data Accelerators ship
Delivery Accelerators
Infrastructure templates, application scaffolds, CI/CD pipelines, environment setup.
.github (CI/CD Workflows)
Reusable GitHub Actions workflows: deploy_frontend, deploy_backend, npm_publish, release, cf-workers-deploy, gitops-frontend.
terraform-aws-ecs-app
Terraform module for deploying containerized apps to AWS ECS with standard configuration.
terraform-cloudflare-worker
Terraform module for deploying Cloudflare Workers with standard patterns.
terraform-plt-backend
Terraform module for Platform backend infrastructure.
Observability Accelerators
Logging, metrics, tracing, dashboards, alerting, incident response patterns.
terraform-grafana-stack
Terraform module for deploying Grafana monitoring stack with standard dashboards and alerts.
Design & Accessibility Accelerators
Design system components, accessible UI patterns, WCAG conformance, content standards.
shared-components
Vue 3 component library with shared utilities, services, and accessible UI components for all SolidProfessor applications.
shared-frontend
Shared frontend patterns, Storybook documentation, and development standards.
Quality Accelerators
BDD/TDD patterns, test frameworks, test data, automated quality gates.
.github (Quality Workflows)
Reusable workflows: code_analysis (SonarQube), e2e (Playwright with sharding), cypress, datadog-synthetics, branch_name validation, pr-size-check.
Security & Compliance Accelerators
Secure defaults, identity and access patterns, secrets handling, SOC 2/GDPR controls.
.github (Security Workflows)
Reusable workflows: security_scan_Trufflehog, security_scan_gitleaks, datadog-static-analysis for secrets detection and code security.
AI Accelerators
Approved AI skills, agents, workflows, evaluations, guardrails, human-approval patterns.
sp-claude-skills
Shared Claude Code skills and workflows for SolidProfessor engineering.
Data Accelerators
Trusted data patterns, integrations, reusable data pipelines, governance guardrails.
Accelerator Standards
Every Accelerator must be reusable (works for multiple teams without changes) and supported (has an owner who maintains it). Core Platform Team reviews quarterly.
Named owner
Accountable for maintenance and support.
Adoption docs
README, examples, migration path.
SLA defined
Response time, versioning, deprecation policy.
Impact tracked
Adoption count, time savings, incident reduction.