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Found 1,247 Skills
Implement background job processing systems with task queues, workers, scheduling, and retry mechanisms. Use when handling long-running tasks, sending emails, generating reports, and processing large datasets asynchronously.
Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
Implement blue-green deployment strategies for zero-downtime releases with instant rollback capability and traffic switching between environments.
Optimize web performance using Core Web Vitals, modern patterns (View Transitions, Speculation Rules), and framework-specific techniques
Run a compliance check on a proposed action, product feature, or business initiative, surfacing applicable regulations, required approvals, and risk areas. Use when launching a feature that touches personal data, when marketing or product proposes something with regulatory implications, or when you need to know which approvals and jurisdictional requirements apply before proceeding.
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
Pingdom integration. Manage Checks, AlertPolicies, Reports, Integrations, Users. Use when the user wants to interact with Pingdom data.
AWS cloud resources including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, databases, serverless, messaging, and cost optimization. Monitor AWS infrastructure, analyze resource usage, optimize costs, and ensure security compliance.
This skill should be used when the user asks about resource usage, CPU, memory, network, disk, or service performance. Covers questions like "how much memory is my service using" or "is my service slow".
Use this skill when users need to analyze competitors, monitor market movements, benchmark features/pricing, identify market gaps, or understand competitive positioning. Activates for "what are competitors doing," market analysis, or differentiation strategy.
Manages a two-layer memory system (hot cache + cold storage) for SEO/GEO project context, tracking keywords, competitors, metrics, and campaign status with intelligent promotion/demotion.
Use when a user wants to add MCPCat analytics to their Python MCP server, install the mcpcat Python package, or integrate mcpcat.track() into an existing Python MCP server codebase.