Kubernetes
Orquestració amb Kubernetes
implementing-service-mesh
ancoleman
Implement production-ready service mesh deployments with Istio, Linkerd, or Cilium. Configure mTLS, authorization policies, traffic routing, and progressive delivery patterns for secure, observable microservices. Use when setting up service-to-service communication, implementing zero-trust security, or enabling canary deployments.
implementing-mlops
ancoleman
Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.
operating-kubernetes
ancoleman
Operating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.
administering-linux
ancoleman
Manage Linux systems covering systemd services, process management, filesystems, networking, performance tuning, and troubleshooting. Use when deploying applications, optimizing server performance, diagnosing production issues, or managing users and security on Linux servers.
flux
vdesjardins
FluxCD is the standard GitOps approach for Kubernetes - diagnose issues, manage resources, and optimize deployments using declarative configuration synced from Git
dependency-management
richfrem
Python dependency and environment management for multi-service or monorepo python backends. Use when: (1) adding, upgrading, or removing a Python package, (2) responding to Dependabot or security vulnerability alerts (GHSA/CVE), (3) creating a new service that needs its own requirements files, (4) debugging pip install failures or Docker build issues related to dependencies, (5) reviewing or auditing the dependency tree, (6) running pip-compile. Enforces the pip-compile locked-file workflow and tiered dependency hierarchy.
kubernetes-patterns
SeuPut0705
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits.
kubernetes
abatilo
Comprehensive Kubernetes (k8s) cluster management skill. Use when working with kubectl, Helm, kustomize, pods, deployments, services, configmaps, secrets, or any Kubernetes operations. Triggers on "k8s", "kubectl get", "helm install", "debug pod", "scale deployment", or cluster troubleshooting questions.
weather
JinFanZheng
Weather/current-conditions verification workflow. Use when user asks for weather, temperature, forecast, rain/snow/wind, typhoon alerts, air quality, or other time-sensitive local conditions. Requires location + source links + local update/publish time; NEVER fabricate.
legal-catchall
Chipagosfinest
Legal: legal counsel, compliance, contracts, paralegal support. Triggers: contract review, legal advice, compliance, GDPR, SOC2, NDA, terms of service, privacy policy, IP, trademark, litigation, regulatory, vendor agreement.
devops-engineer
JochenYang
CI/CD pipeline design, containerization, and infrastructure management. Handles Docker, Kubernetes, monitoring setup (Prometheus/Grafana), and infrastructure-as-code (Terraform/Pulumi).
pytorch-deployment
tondevrel
Advanced sub-skill for PyTorch focused on model productionization and deployment. Covers TorchScript (JIT/Tracing), ONNX export, LibTorch (C++ API), and inference optimization (Quantization, Pruning).
salvo-timeout
salvo-rs
Configure request timeouts to prevent slow requests from blocking resources. Use for protecting APIs from long-running operations.
yolo
10K-Digital
Browser automation skill for Lovable deployments. Activates when: - yolo_mode: on in CLAUDE.md - Running /deploy-edge or /apply-migration commands - After git push when auto_deploy: on (automatic detection) - Any mention of "yolo mode", "automate Lovable", "browser automation" Automatically navigates to Lovable.dev and submits deployment prompts. Runs verification tests based on configuration. Auto-deploys after git push when enabled.
iac-scan-kube-linter
vchirrav
Run KubeLinter to lint Kubernetes YAML and Helm charts for security best practices. Checks pod security, resource limits, network policies, and RBAC.
iac-scan-checkov
vchirrav
Run Checkov to scan Infrastructure as Code for misconfigurations. Supports Terraform, CloudFormation, Kubernetes, Helm, ARM, Ansible, and Dockerfiles.
deployment-configs
vanman2024
Production deployment configurations for Celery workers and beat schedulers across Docker, Kubernetes, and systemd environments. Use when deploying Celery to production, containerizing workers, orchestrating with Kubernetes, setting up systemd services, configuring health checks, implementing graceful shutdowns, or when user mentions deployment, Docker, Kubernetes, systemd, production setup, or worker containerization.
App Platform Deployment Skill
vanman2024
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fastapi-deployment-config
vanman2024
Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production environments, containerizing applications, configuring cloud platforms, implementing health checks, managing environment variables, setting up reverse proxies, or when user mentions Docker, Railway, DigitalOcean, AWS, deployment configuration, production setup, or container orchestration.
12-factor-app-modernization
plurigrid
Systematic process for analyzing and modernizing legacy applications to comply with the 12-Factor App methodology. Covers code analysis, configuration externalization, dependency management, and container/Kubernetes best practices.
crm-customer-data
dmend3z
This skill helps you master Customer Relationship Management (CRM) and customer data. Use it to unify customer data, automate marketing and sales, integrate your martech stack, and set strategic goals. Triggers: CRM, customer data, marketing automation, sales automation.
mermaid
ahgraber
Generate Mermaid diagrams for chatbot flows that render in Markdown, including choosing diagram types, producing valid Mermaid code blocks, and validating or rendering diagrams locally via the bundled scripts. Use when a user asks for chatbot flowcharts/sequence/state diagrams, wants Mermaid syntax, or needs to verify/render Mermaid without a web service.
debug-buttercup
lv416e
Debugs the Buttercup CRS (Cyber Reasoning System) running on Kubernetes. Use when diagnosing pod crashes, restart loops, Redis failures, resource pressure, disk saturation, DinD issues, or any service misbehavior in the crs namespace. Covers triage, log analysis, queue inspection, and common failure patterns for: redis, fuzzer-bot, coverage-bot, seed-gen, patcher, build-bot, scheduler, task-server, task-downloader, program-model, litellm, dind, tracer-bot, merger-bot, competition-api, pov-reproducer, scratch-cleaner, registry-cache, image-preloader, ui.
effect-ts
PaulRBerg
This skill should be used when the user asks about Effect-TS patterns, services, layers, error handling, service composition, or writing/refactoring code that imports from 'effect'. Also covers Effect + Next.js integration with @prb/effect-next.