mongodb
io.github.sickn33/agentic-awesome-skills/mongodb
Administer MongoDB databases. Configure replica sets, sharding, and backups. Use when managing MongoDB deployments.
5,808 resources
io.github.sickn33/agentic-awesome-skills/mongodb
Administer MongoDB databases. Configure replica sets, sharding, and backups. Use when managing MongoDB deployments.
io.github.sickn33/agentic-awesome-skills/planetscale
Operate MySQL-compatible databases on PlanetScale with branching workflows, safe migrations, and production rollouts.
io.github.sickn33/agentic-awesome-skills/aws-rds
Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.
io.github.sickn33/agentic-awesome-skills/azure-sql
Provision Azure SQL Database and Cosmos DB. Configure security, backups, and replication. Use when deploying managed databases on Azure.
io.github.sickn33/agentic-awesome-skills/vector-database-ops
Deploy, manage, and optimize vector databases for AI applications.
io.github.sickn33/agentic-awesome-skills/database-backups
Implement database backup strategies. Configure automated backups, retention, and recovery testing. Use when designing backup and recovery procedures.
io.github.sickn33/agentic-awesome-skills/elk-stack
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.
io.github.sickn33/agentic-awesome-skills/model-serving-kubernetes
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.
io.github.sickn33/agentic-awesome-skills/arm-templates
Deploy Azure resources with ARM templates and Bicep. Create modular deployments and manage dependencies. Use when deploying Azure-native IaC.
io.github.sickn33/agentic-awesome-skills/blue-green-deploy
Configure zero-downtime deployment strategies including blue-green, canary, and rolling deployments.
io.github.sickn33/agentic-awesome-skills/openclaw-deployment-hardening
Secure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification.
io.github.sickn33/agentic-awesome-skills/vercel-deployments
Deploy frontend and full-stack apps on Vercel with previews, edge functions, environment promotion, and production guardrails.
io.github.sickn33/agentic-awesome-skills/hubspot-integration
Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs.
io.github.sickn33/agentic-awesome-skills/hugging-face-trackio
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI).
io.github.sickn33/agentic-awesome-skills/expo-module
Guide for creating and writing Expo native modules and views using the Expo Modules API (Swift, Kotlin, TypeScript). Covers module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system.
io.github.sickn33/agentic-awesome-skills/hunt-nextjs
Hunt Next.js specific vulnerabilities
io.github.hyperdxio/hyperdx/page-layout
Add or update app page headers and layout using PageHeader and PageLayout. Use when creating a new page, fixing inconsistent headers, or migrating Service Map / Kubernetes / dashboard pages to the shared layout.
io.github.ccxt/ccxt/ccxt-typescript
CCXT cryptocurrency exchange library for TypeScript and JavaScript developers (Node.js and browser). Covers both REST API (standard) and WebSocket API (real-time). Helps install CCXT, connect to exchanges, fetch market data, place orders, stream live tickers/orderbooks, handle authentication, and manage errors. Use when working with crypto exchanges in TypeScript/JavaScript projects, trading bots, arbitrage systems, or portfolio management tools. Includes both REST and WebSocket examples.
io.github.google/skills/gke-workload-identity
Diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health. Use when a Pod cannot authenticate to Google Cloud APIs even though Workload Identity is expected to be in effect. Don't use for in-cluster Kubernetes RBAC errors (API-server authorization), general workload crashes (use gke-workload-troubleshooting), or Workload Identity setup and hardening (use gke-workload-security).
io.github.google/skills/gke-workload-troubleshooting
Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events. Use when pods fail to start or crash repeatedly. Don't use for GKE cluster infrastructure provisioning, node pool creation, or non-Kubernetes Google Cloud services.
io.github.google/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
io.github.google/skills/gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (`audit_cluster.sh`), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (`gVisor`), enforcing Pod Security Standards (`restricted` labeling), and mounting Secret Manager secrets via CSI (`SecretProviderClass`). Use when auditing cluster security posture, isolating namespaces, applying pod security standards, setting up Workload Identity, or configuring network policies and secret volume mounts. Don't use for cluster-wide control plane security, RBAC hardening, Binary Authorization, Shielded Nodes, or enabling platform-level GKE add-ons (use gke-platform-security instead).
io.github.google/skills/gke-platform-security
Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles, and cross-service authentication IAM patterns. Use when securing cluster control planes, hardening GKE RBAC, enabling Shielded Nodes, enabling GKE Sandbox runtime, enabling cluster-wide security add-ons, or managing GKE IAM roles. Don't use for workload-level security (Workload Identity, SecretProviderClass, PSS, NetPol, gVisor pod runtimeClassName; use gke-workload-security instead).
io.github.google/skills/gke-upgrades
Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Handles node pool upgrade strategies (surge, blue-green), version compatibility, PDB management, and workload-specific concerns (stateful, GPU, operators). Use this skill whenever the user mentions GKE upgrades, Kubernetes version bumps, node pool maintenance, GKE patching, cluster version management, release channel selection, maintenance windows, surge upgrades, stuck upgrades, or any GKE lifecycle management task — even casual mentions like "we need to upgrade our clusters" or "plan our next GKE maintenance" or "our upgrade is stuck." Don't use for GKE cluster creation, application onboarding, general networking/routing setup, or security policy configurations (use gke-basics or relevant GKE skills instead).