linkerd-patterns
Implement Linkerd service mesh patterns for security, traffic policy management, and zero-trust networking in Kubernetes environments.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
419 skills found
Implement Linkerd service mesh patterns for security, traffic policy management, and zero-trust networking in Kubernetes environments.
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
Automates the creation of draft GitHub pull requests using conventional commit standards and strict validation workflows.
Automate your entire Git lifecycle from commit and PR creation to CI monitoring and branch merging, enforcing conventional commits throughout.
Operate Railway infrastructure: manage projects, services, databases, object storage, deployments, environments, variables, logs, and performance metrics.
Build production-ready, reusable Terraform modules for multi-cloud infrastructure. Includes standardized patterns for AWS, Azure, GCP, and OCI with built-in testing and validation.
FHIR API development guide for building compliant healthcare endpoints. Includes resource validation, coding systems, and standard error handling.
Automate your daily Milan news digest with this Python-based briefing tool. Supports weather, strikes, world/AI/Italian news, and event scraping, featuring deduplication, RSS/API pipeline management, and AI-agent ready scheduling.
Build and execute state-machine based automations with human-in-the-loop support for complex, multi-step business processes.
Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.
Automated generation of structured, production-ready pytest test suites for Python functions and classes.
Sends debugging data, logs, and visual output to the Ray desktop application via its local API for real-time developer feedback.