AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Analyzes Dependabot security advisories to provide actionable resolution strategies for direct and indirect dependencies.
Generates granular, TDD-focused implementation plans and technical roadmaps before modifying codebases.
Lists and manages Google Cloud Platform projects associated with specific billing accounts directly within Claude.
Manages and explores Google Cloud Platform projects by retrieving active account details and listing available project configurations.
Optimizes mobile application visibility and conversion rates on the Apple App Store and Google Play Store through data-driven metadata and keyword strategies.
Generates and executes robust end-to-end test suites using Playwright to ensure seamless user journeys across all major browsers.
Implements reinforcement learning workflows using Stable Baselines3 for training agents, creating environments, and optimizing deep RL models.
Processes and analyzes biological data using scikit-bio for sequence alignment, phylogenetics, and microbiome diversity studies.
Automates the resolution of development ambiguities using predefined heuristics to ensure a seamless, zero-interaction coding workflow.
Streamlines the creation of full-stack dashboard features in the Orient monorepo by providing standardized patterns for services, API routes, and React components.
Automates the creation, analysis, and refinement of professional Markdown documentation through standardized workflows and quality scoring.
Automates and optimizes complex test execution workflows through dependency management, parallel processing, and intelligent test selection.
Develops and trains Graph Neural Networks (GNNs) for complex data structures like social networks, molecules, and 3D point clouds.
Enables professional Common Lisp development workflows by integrating SLIME-style interactive evaluation and environment management.
Transforms logical proofs into interactive game-theoretic strategies for witness extraction and formal verification.
Builds, trains, and validates high-fidelity psychological models from interaction patterns to predict cognitive trajectories and generate authentic responses.
Coordinates programmable chemical synthesis by executing Turing-complete XDL programs on modular robotic hardware.
Constructs category-theoretic knowledge representations to define rigorous database schemas and conceptual models.
Ensures local-to-global signal consistency in Brain-Computer Interface data using cellular sheaves and Cech cohomology.
Implements in-process SQL databases with time-travel semantics, causality tracking, and deterministic replay capabilities.
Provides a curated index of applied category theory, MCP servers, and advanced mathematical computing resources.
Enhances subthreshold signal detection using noise-optimization techniques and Kramers escape rate calculations.
Facilitates exploratory abductive reasoning through interactive hypothesis-test loops for color spaces and topological models.
Builds high-performance systems and zero-overhead abstractions using modern C++20 and C++23 standards.
Optimizes YouTube long-form content for maximum watch time, SEO rankings, and viral potential through data-driven growth strategies.
Constructs and verifies Ramanujan graphs to ensure optimal spectral expansion and network mixing times.
Implements Geoffrey Hinton's Forward-Forward algorithm to enable local, layer-wise neural network training without backpropagation.
Verifies global consistency across modular codebases using topological sheaf cohomology and Čech descent conditions.
Provides rigorous correctness guarantees for AI systems through automated theorem proving, interval arithmetic, and categorical proofs.
Generates deterministic GF(3) colored identifiers for hierarchical spatial indexing and location-based clustering.
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