AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Systematically traces bugs backward through the call stack to identify and fix the original source of errors rather than just symptoms.
Extracts and normalizes multi-exchange market data, technical indicators, and social sentiment for comprehensive crypto analysis.
Researches GitHub issues, PRs, and discussions to identify proven solutions, community patterns, and known implementation pitfalls.
Guides developers through the standardized process of contributing custom Claude Code skills to upstream repositories using Git and GitHub CLI.
Establishes inclusive community standards, moderation policies, and engagement strategies to foster thriving and safe online spaces.
Implements Schmidhuber's compression progress theory to provide intrinsic curiosity rewards for autonomous AI learning and exploration.
Integrates secure, production-ready Stripe payment processing and subscription management into web applications with AI-guided workflows.
Eliminates flaky tests and race conditions by replacing arbitrary timeouts with smart condition polling.
Automates the generation and creation of detailed GitHub pull requests using implementation plans, execution context, and project memory.
Provides specialized strategies and code patterns for genomics and transcriptomics data analysis, visualization, and biological interpretation.
Synchronizes and maintains local caches of official Claude Code documentation to ensure your AI assistant has access to the latest technical references.
Eliminates flaky tests and race conditions by replacing arbitrary timeouts with smart, polling-based condition checks.
Analyzes and refines CLAUDE.md files to maximize AI context efficiency and project comprehension for Claude Code.
Provides expert strategies and domain knowledge for analyzing metabolic pathways, flux measurements, and biochemical mechanisms.
Captures non-linear thought streams and extracts meaningful patterns from hyperfocus sessions without imposing rigid structures.
Automatically synchronizes the latest LLM model specifications, pricing, and API documentation to ensure optimal architecture decisions.
Automates semantic versioning decisions by classifying code changes and recommending appropriate version bumps.
Manages persistent development sessions and work context across Claude Code conversation resets.
Applies a rigorous four-phase framework to diagnose root causes and implement verified fixes for complex software bugs.
Orchestrates sequential task execution using fresh subagents and automated code reviews to ensure high-quality, iterative code delivery.
Generates comprehensive Architecture Decision Records (ADRs) that map technical choices to specific ecosystem constraints.
Automates end-to-end workflow testing and multi-factor production readiness validation in isolated environments.
Implements a multi-layered validation strategy to prevent bugs from propagating through system execution layers.
Orchestrates isolated Git worktrees with automated setup and safety checks for parallel development.
Implements end-to-end machine learning pipelines in R using the tidymodels ecosystem, from data splitting to model deployment.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.
Implements hierarchical spatial indexing with deterministic GF(3) color derivation for geospatial analysis and visualization.
Provides deep technical knowledge and best practices for mastering the Claude Code agentic CLI tool.
Simplifies complex bioinformatics workflows in R using Bioconductor for RNA-seq, microarray, and single-cell genomic analysis.
Refactors sloppy code by enforcing type strictness, single responsibility principles, and robust error handling patterns.
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