AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Enforces multi-language naming conventions, architectural principles, and defensive programming patterns to ensure high-quality, maintainable codebases.
Translates English text into high-quality, accurate Persian (Farsi) with a focus on specialized administrative and spiritual terminology.
Automates the creation and setup of isolated git or jj worktrees for feature development and bug fixes.
Provides expert guidance on architectural layering, microservices decomposition, and enterprise integration patterns for robust software design.
Applies structured, task-specific templates to AI session plans to ensure standardized and high-quality development workflows.
Mines extensive decision logs to generate high-quality, structured instruction-tuning datasets for autonomous AI model training.
Builds complete Claude Code plugin packages including manifests, commands, and skills following the official 2025 schema.
Refines and elevates the visual quality of existing user interfaces by applying modern 2025 design principles for hierarchy, spacing, and typography.
Manages the systematic implementation of complex development plans through batch execution, semantic agent selection, and mandatory review checkpoints.
Enforces strict adherence to implementation plans by providing an algorithmic decision tree to prevent unauthorized architectural deviations and scope creep.
Architects scalable, high-performance systems and documents critical technical decisions through ADRs and specifications.
Employs independent dual-agent analysis and systematic collation to ensure high-confidence results for critical code reviews, audits, and research.
Automates the creation of isolated Git worktrees with smart directory selection, safety checks, and environment setup.
Conducts systematic, high-quality code reviews using a structured feedback framework and algorithmic template validation.
Enhances LLM compliance by replacing imperative instructions with deterministic boolean decision trees for high-stakes workflows.
Optimizes task delegation by identifying the most suitable specialized agent based on task complexity, technology, and context.
Reorganizes project documentation into an intent-based structure to improve discoverability and developer productivity.
Enforces strict performance constraints and architectural patterns for OS kernel interrupt and syscall critical paths.
Enables fast, iterative kernel debugging by executing time-bounded sessions with automated signal detection and real-time log monitoring.
Streamlines the creation of kernel integration tests for Breenix using shared QEMU instances and serial checkpoint signals.
Manages the end-to-end software development lifecycle by coordinating specialized agents through strict quality gates and execution stages.
Automates infrastructure provisioning and service deployments using ArgoCD, Terraform, and custom Bun scripts.
Streamlines the setup and management of local Supabase environments for faster, offline-ready full-stack development.
Automates the generation of professional model cards and the deployment of fine-tuned LLMs to the Hugging Face Hub.
Streamlines production delivery with CI/CD pipelines, zero-downtime deployment strategies, and infrastructure-as-code patterns.
Orchestrates your AI development workflow by automatically selecting and dispatching the most relevant agents, skills, and tools based on task complexity.
Guides the development and packaging of specialized Claude Code skills to extend AI capabilities with domain-specific knowledge and workflows.
Automates the creation and maintenance of scalable design systems by generating design tokens, typography scales, and developer handoff assets.
Provides standardized architectural patterns, API design principles, and database best practices for building scalable server-side applications.
Automates local web application testing and UI debugging using Playwright and managed server lifecycles.
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