lang-scala-dev
Foundational Scala patterns covering immutability, pattern matching, traits, case classes, for-comprehensions, and functional programming. Use when writing Scala code, understanding the type system, or needing...
发现 documentation architecture patterns 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Foundational Scala patterns covering immutability, pattern matching, traits, case classes, for-comprehensions, and functional programming. Use when writing Scala code, understanding the type system, or needing...
Foundational Erlang patterns covering OTP behaviors, fault-tolerant systems, distributed computing, pattern matching, processes, and supervision trees. Use when writing Erlang code, building concurrent systems,...
Foundational C# patterns covering LINQ, async/await, nullable types, records, and pattern matching. Use when writing C# code or needing guidance on C# features. This is the entry point for C# development.
Scala-specific library development patterns. Use when creating Scala libraries, designing public APIs with immutability, configuring sbt/Mill build tools, managing cross-Scala version builds, publishing to Mave...
Roc-specific library and platform development patterns. Use when creating reusable Roc packages, developing custom platforms, organizing package modules, exposing public APIs, managing platform interfaces, or p...
Foundational F# patterns covering functional-first programming, type providers, computation expressions, and domain modeling. Use when writing F# code, understanding functional patterns, working with type provi...
Foundational Haskell patterns covering pure functional programming, type system, type classes, monads, and common idioms. Use when writing Haskell code, understanding pure functions, working with Maybe/Either,...
Production-ready code generation and incremental development using Explore-Plan-Code-Commit workflow. TDD-driven with
Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.
Comprehensive Railway.com deployment management for GitHub, Docker, and local sources. Use when deploying to Railway, redeploying services, rolling back deployments, monitoring deployment status, managing stagi...
Create production-ready, agent-executable plans using verification-first approach, hierarchical decomposition, dependency mapping, and quality gates. Optional multi-AI research integration (Claude + Gemini + Co...
Generate Ralph-compatible prompts for entire projects from scratch. Creates comprehensive prompts with architecture phase, implementation phases, testing, and documentation. Use when building complete applicati...
Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orches...
Comprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation....
Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.
Clean transitions between agents and sessions. Use when preparing handoffs, serializing state, bridging context between agents, or coordinating multi-agent workflows.
Optimize skill development processes through bottleneck identification, efficiency analysis, automation discovery, and workflow improvement. Task-based operations for process analysis, bottleneck elimination, a...
Comprehensive Railway.com project, environment, and variable management. Use when creating Railway projects, managing environments, configuring services, setting variables, syncing environments, managing PR env...
Auto-Claude autonomous build system. Use when running builds, understanding agent workflow, managing parallel execution, or troubleshooting build issues.
Analyze features and their dependencies. Use when mapping feature relationships, detecting blockers, optimizing build order, or identifying critical paths.
Complete development workflow orchestrator coordinating all multi-ai skills (research → planning → implementation → testing → verification) with quality gates, failure recovery, and state management. Single-com...
Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.
Complete continuous improvement cycle orchestrating review, analysis, learning extraction, systematic updates, and validation. Sequential workflow from comprehensive review through pattern analysis and learning...
Railway CI/CD integration and automation. Use when setting up GitHub Actions, GitLab CI, automated deployments, migration scripts, or programmatic Railway workflows.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。