async-patterns-guide
Guides users on modern async patterns including native async fn in traits, async closures, and avoiding async-trait when possible. Activates when users work with async code.
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Guides users on modern async patterns including native async fn in traits, async closures, and avoiding async-trait when possible. Activates when users work with async code.
Guides users on choosing between async and sync patterns for Lambda functions, including when to use tokio, rayon, and spawn_blocking. Activates when users write Lambda handlers with mixed workloads.
Multi-agent parallel investigation for complex VCV Rack problems
Suggest LCMP compaction when explicitly requested - provides guidance on promoting durable information to decisions.md, insights.md, and gotchas.md without auto-compaction
Modern coding patterns for clean, maintainable code - use before implementing complex logic; includes orchestration, pure functions, function decomposition, vertical slice, composition, DI, SOLID, anti-patterns...
Master Entity Framework Core migrations with code-first approach, migration strategies, data seeding, rollback procedures, and production deployment patterns. Use when managing database schema changes in .NET a...
Split features into atomic 2–4h tasks with independent tests and minimal dependencies
Helps design port traits and adapter implementations for external dependencies. Activates when users need to abstract away databases, APIs, or other external systems.
Science-backed techniques for maintaining deep focus, managing distractions, and maximizing productive coding sessions
Parse and execute incoming handoffs from Cursor following the normalized handoff schema with mixed-capability phases (analysis and write-capable)
Collect content feedback and identify patterns for rule updates
Comprehensive coding standards and architectural patterns for the CareBridge eldercare management application. Includes critical patterns for case context management, Stripe integration, Next.js 15 requirements...
Design and compose Effect layers for clean dependency management
Comprehensive tool for creating D2 diagrams based on descriptions and requirements. This skill should be used when creating visual diagrams, system architectures, flowcharts, network topologies, data flows, or...
Implement Effect services as fine-grained capabilities avoiding monolithic designs
Decide between Context Tag witness and capability patterns for dependency injection, understanding coupling trade-offs
Implement logging, metrics, tracing, and alerting for production applications. Covers structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), distributed tracing (OpenTelemetry), and aler...
Design RESTful APIs with consistent patterns, clear conventions, and comprehensive documentation. Covers endpoint design, HTTP methods, status codes, request/response formats, pagination, filtering, versioning,...
Document and manage architectural decisions using ADRs. Supports Y-statement and traditional ADR formats. Use when creating, reviewing, or searching decision records.
Comprehensive error handling patterns for robust applications including custom errors, error boundaries, recovery strategies, and user-facing error messages. Use this skill when designing error hierarchies, imp...
Analyzes PRD documents, concept briefs, or feature specs and creates structured implementation plans with visual kanban tracking. Breaks requirements into epics, stories, and tasks with dependencies and estimat...
Atlas skill for designing and creating Claude Skills for project-specific codebases. USE WHEN you need to capture repeatable workflows, complex multi-step processes, or domain-specific patterns that Claude shou...
Universal execution engine using scientific method to achieve ideal state. USE WHEN complex tasks, multi-step work, "run the algorithm", "use the algorithm", OR any non-trivial request that benefits from struct...
Scaffold development rules for AI coding agents. Auto-invoked when user asks about setting up rules, coding conventions, or configuring their AI agent environment.
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。