Kubernetes

python-logging

by narumiruna

Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.

imsg

by EthanAlgoX

iMessage/SMS CLI for listing chats, history, watch, and sending.

inventory-optimization

by kishorkukreja

When the user wants to optimize inventory levels, calculate safety stock, determine reorder points, or minimize inventory costs. Also use when the user mentions "inventory management," "safety stock," "EOQ," "reorder point," "service level," "stockout prevention," "ABC analysis," "inventory turns," or "working capital reduction." For warehouse slotting, see warehouse-slotting-optimization. For multi-echelon systems, see multi-echelon-inventory.

facility-location-problem

by kishorkukreja

When the user wants to solve facility location problems, optimize facility placement, determine optimal locations for warehouses or plants. Also use when the user mentions "FLP," "p-median problem," "uncapacitated facility location," "capacitated facility location," "UFLP," "CFLP," "warehouse placement," "site selection optimization," "facility siting," or "location-allocation problem." For hub networks, see hub-location-problem. For distribution centers, see distribution-center-network.

freight-optimization

by kishorkukreja

When the user wants to optimize freight transportation, reduce shipping costs, or improve carrier selection. Also use when the user mentions "freight management," "carrier optimization," "mode selection," "LTL/TL optimization," "freight consolidation," "load planning," or "transportation procurement." For local delivery routes, see route-optimization. For last-mile, see last-mile-delivery.

ecommerce-fulfillment

by kishorkukreja

When the user wants to optimize e-commerce fulfillment, online order processing, or direct-to-consumer logistics. Also use when the user mentions "e-commerce fulfillment," "online orders," "DTC fulfillment," "pick-pack-ship," "3PL," "fulfillment center," "order accuracy," "shipping optimization," or "returns processing." For omnichannel (stores + online), see omnichannel-fulfillment. For last-mile delivery, see last-mile-delivery.

fleet-management

by kishorkukreja

When the user wants to manage vehicle fleets, optimize fleet size, or plan vehicle acquisition and maintenance. Also use when the user mentions "fleet sizing," "vehicle lifecycle," "fleet utilization," "maintenance planning," "replacement strategy," "total cost of ownership," or "fleet optimization." For route planning within a fleet, see route-optimization. For last-mile operations, see last-mile-delivery.

yolo

by 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.

microservices-patterns

by manutej

Comprehensive microservices patterns skill covering service mesh, traffic management, circuit breakers, resilience patterns, Istio, and production microservices architecture

observability-monitoring

by manutej

Comprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applications

grpc-microservices

by manutej

Comprehensive gRPC microservices skill covering protobuf schemas, service definitions, streaming patterns, interceptors, load balancing, and production gRPC architecture

kubernetes-orchestration

by manutej

Comprehensive guide to Kubernetes container orchestration, covering workloads, networking, storage, security, and production operations

api-gateway-patterns

by manutej

Comprehensive API gateway patterns skill covering Kong, routing, rate limiting, authentication, load balancing, traffic management, and production gateway architecture

web-summary

by pacphi

Summarize web content including YouTube videos with semantic topic links for Logseq and Obsidian. Uses Z.AI service (port 9600) for cost-effective summarization. Supports markdown, plain text, and note-taking formats.

otel-instrumentation

by kopai-app

Instrument applications with OpenTelemetry SDK and validate telemetry using Kopai. Use when setting up observability, adding tracing/logging/metrics, testing instrumentation, or debugging missing telemetry data.

aws-agentic-ai

by hainamchung

AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.

Azure Developer CLI (azd) Container Apps Deployment

by hainamchung

aws-cdk-development

by hainamchung

AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.

geo-infer-emergency

by ActiveInferenceInstitute

Emergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, modeling disaster scenarios, coordinating evacuation routes, or managing multi-agency response logistics.

pasta-decompose

by florianbuetow

This skill should be used when the user asks to "decompose the application", "map trust boundaries", "identify components and roles", "catalog permissions", or is running PASTA stage 3. Also triggers when the user asks about role-based access control mapping, data classification, or service-to-service trust in a threat modeling context. Part of the PASTA threat modeling methodology (Stage 3 of 7).

dojo-config

by dojoengine

Configure Scarb.toml, dojo profiles, world settings, and dependencies. Use when setting up project configuration, managing dependencies, or configuring deployment environments.

k8s-troubleshooter

by ahmedasmar

Systematic Kubernetes troubleshooting and incident response. Use when diagnosing pod failures, cluster issues, performance problems, networking issues, storage failures, or responding to production incidents. Provides diagnostic workflows, automated health checks, and comprehensive remediation guidance for common Kubernetes problems.

confidant

by openclaw

Secure secret handoff and credential setup wizard for AI agents. Use when you need sensitive information from the user (API keys, passwords, tokens) or need to save credentials to config files. Never ask for secrets via chat — use Confidant instead.

accessibility-toolkit

by openclaw

Friction-reduction patterns for agents helping humans with disabilities. Voice-first workflows, smart home templates, efficiency automation.