Explore AI skills for development, content, data and productivity. Compare the description and repository popularity before opening a skill.
Expert at building resilient applications through proper error handling. Covers Result types, error boundaries, try-catch patterns, typed errors, and graceful degradation. Use when "error handling, try catch, e...
Patterns for developing robotics applications with ROS2 (Robot Operating System 2). Covers nodes, topics, services, actions, launch files, lifecycle management, real-time considerations, and common pitfalls. Us...
Event sourcing and CQRS expert for AI memory systemsUse when "event sourcing, event store, cqrs, nats jetstream, kafka events, event projection, replay events, event schema, event-sourcing, cqrs, nats, kafka, p...
Design and implement discrete event simulations (DES) for systems where state changes occur at discrete time points: queues, manufacturing, logistics, networks. Use when "discrete event, DES simulation, queuing...
Software architecture and system design - scalability patterns, reliability engineering, and the art of making technical trade-offs that survive productionUse when "system design, architecture, scalability, how...
Frontend patterns: component design, state management, performance, accessibility. Use when building web frontends, components, or client-side apps.
Git branching strategies, commit conventions, merge strategies, conflict resolution. Use when managing branches, creating commits, or resolving conflicts.
TDD workflow skill: complete guide to test-driven development. Use when writing new features, fixing bugs, or refactoring code. Enforces test-first methodology with 80%+ coverage.
DevOps patterns: containerization, CI/CD, deployment strategies, monitoring. Use when containerizing apps, setting up pipelines, or deploying services.
.NET SDK and runtime installation across Windows, macOS, and Linux. Handles version detection, platform-specific installers (WinGet, Homebrew, apt, dnf), SDK vs runtime selection, offline installation, Docker s...
Enforces engineering standards and code quality policies. Use during code reviews, before commits, when discussing standards or compliance, and for quality audits.
Manage git-crypt encrypted repositories with seamless worktree support. Handles unlock/lock operations, key management, and the critical worktree smudge filter issue that causes encrypted file checkout failures...
Manage git worktrees for parallel development with conflict prevention and wave-aware execution strategy. Use when creating feature branches, starting parallel work sessions, merging worktree PRs, or coordinati...
Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, type...
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, pla...
Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions.
Use when building Spring Boot 3.x applications, microservices, or reactive Java applications. Invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration.
Repository structure methodology for maximum AI agent effectiveness. Three pillars — context engineering (repo as knowledge product), architectural constraints (deterministic enforcement), garbage collection (a...
Implicit feedback scoring, confidence decay, and anti-pattern detection. Use when understanding how the swarm plugin learns from outcomes, implementing learning loops, or debugging why patterns are being promot...
查看公共类规范和使用方式。包括R响应类、ErrorCode错误码、异常处理、事务、缓存、并发控制、日志等。
Analyzes existing brownfield projects to map documentation structure to SpecWeave's PRD/HLD/Spec/Runbook pattern. Scans folders, classifies documents, detects external tools (Jira, ADO, GitHub), and creates pro...
Comprehensive ML model evaluation with multiple metrics, cross-validation, and statistical testing. Activates for "evaluate model", "model metrics", "model performance", "compare models", "validation metrics",...
Enhanced AI-powered quality assessment with RISK SCORING (BMAD pattern) and quality gate decisions. Evaluates specifications, plans, and tests for clarity, testability, completeness, feasibility, maintainabilit...
Validates Azure DevOps projects and resources exist, creates missing resources automatically. Smart enough to prompt user to select existing or create new projects. Supports multiple projects for project-per-te...
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.