Discover devops architecture patterns skills, compare source repositories and read the instructions for each workflow.
This skill should be used when the user asks about "phase management", "6-phase protocol", "explore phase", "plan phase", "code phase", "test phase", "fix phase", "document phase", "phase transitions", "phase e...
Redis caching, pub/sub, and data structures. Activate for Redis operations, caching strategies, session management, and message queuing.
Harness CI (Continuous Integration) for container-native builds, test intelligence, caching, parallelization, and build infrastructure management. Activate for build pipelines, CI steps, test automation, artifa...
GraphQL API development including schemas, resolvers, queries, mutations, and subscriptions. Activate for GraphQL servers, clients, and API design.
Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Provides structured templates for thorough investigation with extended thinking support.
Multi-tenant architecture patterns including org_id claim management, JWT token structure with organization context, database isolation strategies for MongoDB and PostgreSQL, theme switching per organization, t...
React development including hooks, components, state management, and modern patterns. Activate for React components, JSX, hooks, context, and frontend development.
Expertise in CI/CD pipeline creation, process automation, and team workflow optimization. Activates when working with "automate", "pipeline", "workflow", "CI/CD", "process", or automation tools.
Use this agent when you need to analyze code for design patterns, anti-patterns, naming conventions, and code duplication. This agent excels at identifying architectural patterns, detecting code smells, and ens...
Use this agent when you need to analyze code changes from an architectural perspective, evaluate system design decisions, or ensure that modifications align with established architectural patterns. This include...
Use this agent when you need to review database migrations, data models, or any code that manipulates persistent data. This includes checking migration safety, validating data constraints, ensuring transaction...
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes a...
Spot patterns appearing in 3+ domains to find universal principles
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
Search app data flow - query flow diagram (user input → debounce → alias check → provider dispatch → aggregate → rank → UI), state management patterns (mutableStateOf, mutableStateListOf, StateFlow, SharedFlow)...
Systematic debugging skill for complex issues. Use when encountering bugs, test failures, or unexpected behavior. Enforces explore-plan-debug-fix workflow to prevent premature fixes.
Troubleshoot agent & tool failures in scheduling orchestration. Use when MCP tools fail, agent communication breaks, constraint engines error, or database operations timeout. Provides systematic incident respon...
Invoke ARCHITECT Deputy for systems architecture, design decisions, and technical infrastructure work.
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.
Unity Catalog governance patterns, permissions models, security best practices, and policy enforcement for enterprise data governance.
RBAC/ABAC implementation patterns, least privilege access, row-level security, column masking, and access review workflows.
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.