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moai-worktree
A Git worktree management system designed for parallel SPEC development. It creates isolated workspaces for each SPEC, maintains a central registry, and integrates with MoAI-ADK's plan-run-sync workflow. Provides CLI commands for creation, switching, syncing, and cleanup of worktrees.
k8s-core
Core Kubernetes resource management for pods, namespaces, configmaps, secrets, and nodes. Use when listing, inspecting, or managing fundamental K8s objects.
deployment-cloudflare
This skill deploys TanStack Start applications to Cloudflare Workers/Pages using GitHub Actions, managing secrets via Doppler, handling database migrations, and providing rollback procedures for Grey Haven applications.
frankenphp
This skill provides comprehensive assistance with FrankenPHP, a modern PHP application server built on Caddy. It helps with setup, configuration, worker mode optimization, framework integration (Laravel/Symfony), Docker deployment, and implementing real-time features to enhance PHP application performance and scalability.
cloud-k8s-deployment
Provides concrete steps to deploy applications to DigitalOcean Kubernetes with multi-cloud patterns for AWS and GKE. Includes detailed setup for prerequisites like ingress, cert-manager, Dapr, and production values files. Covers cost optimization and verification checklists.
secrets-gitleaks
Hardcoded secret detection and prevention in git repositories and codebases using Gitleaks. Identifies passwords, API keys, tokens, and credentials through regex-based pattern matching and entropy analysis. Use when: (1) Scanning repositories for exposed secrets and credentials, (2) Implementing pre-commit hooks to prevent secret leakage, (3) Integrating secret detection into CI/CD pipelines, (4) Auditing codebases for compliance violations (PCI-DSS, SOC2, GDPR), (5) Establishing baseline secret detection and tracking new exposures, (6) Remediating historical secret exposures in git history.
Tekton
Provides expert guidance on Tekton Pipelines, a Kubernetes-native CI/CD framework, offering best practices for building, testing, and deploying applications with declarative, reusable workflows and troubleshooting assistance.
Homelab
This skill provides expert assistance for managing personal NixOS homelab infrastructure, including system configurations, service deployments, DNS management, and keyboard firmware builds, with built-in safety protocols for remote deployments.
branch-naming
Defines branch naming conventions that link Git branches to GitHub issues. Includes patterns for standard and Claude-created branches, commit message keywords, and integration with issue status detection. Helps teams maintain consistent naming and track work progress.
docker
Docker expert for containers, Compose, Dockerfiles, and debugging
afrexai-api-architect
Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.
node-red-manager
Manage Node-RED instances via Admin API or CLI. Automate flow deployment, install nodes, and troubleshoot issues. Use when user wants to "build automation", "connect devices", or "fix node-red".
docker-essentials
Essential Docker commands and workflows for container management, image operations, and debugging.
workspace-organization
Automated workspace health checks and entropy prevention for OpenClaw. Detects broken symlinks, empty dirs, large files, malformed names. Maintenance audit script with cron support. Keeps deployments clean and structured.
dev-workflow
This skill orchestrates a complete development workflow from issue creation to PR merge. It provides concrete commands for Git operations, worktree management, and integrates with multiple code review tools. The documentation includes specific error handling references and supports both Gitea and GitHub.
GitHub
This GitHub skill provides expert guidance for managing repositories, pull requests, and CI/CD workflows using the gh CLI and custom automation tools, helping users efficiently check PR status, review changes, create PRs, manage issues, and restart failed checks.
backend-development
Provides guidance for building backend systems with technology selection matrices, implementation checklists, and reference documentation covering APIs, databases, security, and deployment. Includes concrete metrics like 98% SQL injection reduction with parameterized queries.
github-actions
This skill helps create and maintain GitHub Actions workflows for CI/CD pipelines, automating tasks like testing, building, deployment, and scheduled jobs to streamline development and operations.
security-audit
This skill audits code for security vulnerabilities like SQL injection, XSS, and OWASP Top 10 issues, helping developers identify and fix security flaws during development, code reviews, and before production deployments.
package-audit
This skill scans for and fixes security vulnerabilities in npm dependencies using pnpm audit and Snyk, helping ensure secure deployments and resolve CVE alerts through automated tools and detailed reporting.
health-check-endpoints
This skill provides health check endpoints for monitoring service availability, including liveness, readiness, and dependency checks, enabling proper container orchestration, load balancing, and failure recovery in environments like Kubernetes.
worktree-lifecycle-skill
Manages Git worktree lifecycle for parallel development with automatic port allocation. Creates isolated environments for different branches, handles service startup/cleanup, and prevents port conflicts through calculated offsets. Focuses on standardized commands rather than manual git operations.
minikube-setup
Provides step-by-step instructions for setting up Minikube for local Kubernetes development, including installation, configuration, image loading, and troubleshooting. Covers multiple platforms and integrates with a sample todo application workflow.
llama-cpp
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.