api-design
Design and build professional APIs with REST, GraphQL, and gRPC. Master authentication, documentation, testing, and operational concerns.
Essential command-line tools and system utilities.
Design and build professional APIs with REST, GraphQL, and gRPC. Master authentication, documentation, testing, and operational concerns.
Comprehensive brownfield architecture analysis for existing codebases. Discovers structure, identifies patterns, assesses quality, calculates production readiness, and provides actionable recommendations. Use when analyzing existing codebases to understand architecture, assess quality, or prepare for modernization.
Follow general development conventions for project organization, documentation, version control, and team collaboration. Use this skill when organizing project files and directory structures. Use this skill when writing commit messages, creating branches, or making pull requests. Use this skill when managing environment configuration and secrets. Use this skill when updating project documentation like README files. Use this skill when managing project dependencies and keeping them current. Use this skill when using feature flags for incomplete features. Use this skill when maintaining changelogs or release notes. Use this skill when establishing team development workflows and processes.
Validation patterns and compliance checking for Kailash SDK including parameter validation, DataFlow pattern validation, connection validation, absolute import validation, workflow structure validation, and security validation. Use when asking about 'validation', 'validate', 'check compliance', 'verify', 'lint', 'code review', 'parameter validation', 'connection validation', 'import validation', 'security validation', or 'workflow validation'.
FLEXIBLE skill orchestrating comprehensive analysis workflows. Adapts to analysis type (codebase, architecture, technical debt, complexity) and automatically invokes appropriate sub-skills (spec-analysis, project-indexing, confidence-check). Applies Shannon patterns (8D framework, waves, NO MOCKS) with Serena historical context. Produces quantitative, actionable results with structured outputs and MCP recommendations.
Expertise in deployment automation, container orchestration, and infrastructure as code. Activates when working with "deploy", "kubernetes", "docker", "terraform", "helm", "k8s", "container", or cloud infrastructure.
Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan -> Work -> Review -> Compound loop where each unit of engineering makes subsequent work easier. Triggers on: plan this feature, implement this, review this code, compound learnings, create implementation plan, systematic development.
Ecommerce integration patterns and decomposer/composer
Adaptive resource allocation, predictive scaling with ML, capacity planning, circuit breakers, and performance profiling. Use for intelligent resource management, auto-scaling, and fault tolerance.
Comprehensive frontend architecture analyzer that identifies technology stacks, build tools, and architectural patterns. Use when you need to quickly understand a project's structure, dependencies, and technical configuration. Provides analysis for Vue/React/Angular frameworks, Node.js environments, package managers, TypeScript usage, linters, and architecture patterns with multiple output formats including executive summaries and visualizations.
Software architecture research and design toolkit. Research technology stacks, design patterns, system architectures, and create Architecture Decision Records (ADRs) for informed technology choices.
Cross-cutting patterns for metaprogramming mechanisms across languages. Use when translating decorators between languages, converting annotations to macros, understanding metaprogramming equivalents, or designing code generation strategies for language conversions.
Use when reviewing code for architectural consistency, designing backend systems, or evaluating structural changes
GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
Universal methodology for discovering and adapting to any codebase's patterns, conventions, and architectural decisions. Automatically detects technology stack, learns project structure, and identifies coding standards. Use when encountering unfamiliar code, unknown frameworks, need to understand project patterns. Triggers: 'architecture', 'structure', 'conventions', 'tech stack', 'patterns', 'how is organized', '구조', '아키텍처', '패턴', '컨벤션', '기술스택', '어떻게 구성', '분석', analyzing package.json, go.mod, flake.nix, Cargo.toml, .gitignore files.
Event-driven workflow automation in Flow Nexus cloud. Use for creating, executing, and managing complex automated workflows with message queue processing and intelligent agent coordination.
Guides production deployment workflow with safety checks and rollback procedures. Use when deploying applications to staging or production environments.
Analyze cluster capacity and provide scaling recommendations. Forecasts resource needs, identifies imbalances, and suggests actions. Use for capacity planning and proactive scaling. Keywords: capacity, planning, scaling, forecast, recommendation, resources.
HarmonyOS application development expert. Use when building HarmonyOS apps with ArkTS, ArkUI, Stage model, and distributed capabilities. Covers HarmonyOS NEXT (API 12+) best practices.
Master cloud architecture with AWS, Azure, GCP, cloud-native patterns, migration strategies, and cost optimization.
Production observability with structured logging, metrics collection, distributed tracing, and alerting
Expert-level CI/CD with GitHub Actions, Jenkins, deployment pipelines, and automation