AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Analyzes codebases to discover and document business rules, technical patterns, and architectural interfaces through iterative cycles.
Retrieves insights from past conversations to inform current decision-making and avoid repeating previous technical mistakes.
Automates the development, backtesting, and execution of Taiwan stock market quantitative trading strategies using the FinLab package.
Applies mobile-first design thinking and performance optimization patterns to iOS and Android applications.
Manages Linear issues, teams, and projects directly from the command line using the Linear CLI and GraphQL API.
Manages session state transitions for autonomous development cycles by handling resume and fork flags.
Enables non-interactive, autonomous execution of coding tasks and terminal commands using the Claude Code CLI.
Reshapes AI thinking patterns using cognitive constraints and inhibitions for more reliable and specialized outputs.
Verifies web application readiness with a battle-tested 10-point production checklist for stable and trustworthy launches.
Streamlines product discovery and backlog management using AI-driven competitor research and the WINNING prioritization framework.
Extracts precise CSS tokens, animations, and interaction states from any website to generate a comprehensive design system prompt.
Automatically applies professional design systems and distinctive aesthetics to frontend components and web interfaces.
Automates the end-to-end spec-driven development lifecycle from initial research to autonomous task execution.
Enforces a rigorous workflow for reproducing failures before implementation and verifying resolutions after code changes.
Enforces a coordinator-led workflow by delegating all implementation tasks to specialized subagents for cleaner context and improved consistency.
Optimizes AI responses for maximum brevity and scannability using a spec-driven, terminal-first communication format.
Optimizes Claude's token consumption through strategic prompting, context compression, and automated quota tracking.
Monitors and optimizes CPU and GPU resource consumption during intensive development, builds, and training tasks.
Optimizes AI decision-making by balancing autonomous execution with strategic clarifying questions to minimize interaction rounds.
Provides foundational word lists, scoring systems, and utility functions for detecting and eliminating AI-generated writing patterns.
Generates and remediates technical documentation with human-quality writing styles and zero AI-slop.
Analyzes and extracts unique writing patterns from example texts to generate consistent style profiles for AI-generated content.
Optimizes AI interactions by stripping filler words, hedging, and conversational bloat to maximize token efficiency and directness.
Enforces fundamental software design principles like KISS, YAGNI, and SOLID to ensure maintainable and efficient codebases.
Identifies and remediates AI-generated linguistic markers and patterns in documentation to improve content quality and authenticity.
Implements robust monitoring strategies, SLI/SLO frameworks, and distributed tracing patterns for production-ready systems.
Orchestrates the software specification lifecycle by managing document directories, tracking implementation decisions, and guiding transitions between PRD, SDD, and PLAN phases.
Detects and corrects spelling errors in ETL metadata and snapshot files using codespell.
Validates software specifications, implementations, and architectural alignment using the 3 Cs framework to ensure project quality.
Implements standardized testing architectures using test pyramid principles, coverage targets, and framework-specific patterns for modern development.
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