performance-analysis
Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
361 skills found
Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.
AWS ECS skill for container orchestration. Manage clusters, task definitions, services, and deployments with best-practice patterns for Fargate and EC2.
Generate comprehensive instructions for AI agents to operate the Taskery local Kanban board, including CLI, API, and concurrency management.
Enables multi-tenant isolation for AI agent swarms, ensuring strict data separation, process isolation, and secure resource management between deployments.
FHIR API development guide for building compliant healthcare endpoints. Includes resource validation, coding systems, and standard error handling.
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Generate, maintain, and validate OpenAPI 3.1 specifications for RESTful APIs. Streamline documentation, SDK generation, and contract compliance.
Expert guidance for configuring FeatBit observability via OpenTelemetry. Use for setting up metrics, logs, traces, and connecting OTEL backends like Seq, Jaeger, or Prometheus for FeatBit backend monitoring.
A deterministic orchestration engine for autonomous coding agents, managing workflow loops, state persistence, and checkpoint-based execution.
A comprehensive Next.js 15 development and project management skill for Claude Code, featuring Supabase integration, RBAC, and automated quality validation.
Implement secure backend authentication (JWT, OAuth, Sessions) and authorization (RBAC, ABAC) patterns, including password hashing, MFA, and security best practices.
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.