AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Manages persistent project knowledge and technical decisions using atomic, Zettelkasten-style memory principles.
Enhances ASCII UI components by automatically generating interaction states like hover, focus, and disabled for rapid prototyping.
Browses and manages uxscii components and screens for rapid ASCII-based UI development and layout prototyping.
Manages modular Neovim configurations, native plugin installations, and custom nightly builds with daemonized server support.
Provides standardized templates and procedural guidance for building, structuring, and optimizing specialized Claude Code skills.
Automates Git branching strategies and GitHub PR review cycles to streamline development workflows.
Automates the provisioning and management of cloud resources using version-controlled, reproducible code patterns.
Manages complex task hierarchies and work items using a callback-based Lua system with integrated dependency tracking.
Automates web browser interactions for repeatable workflows, UI verification, and evidence capture within the Claude Code environment.
Discovers and lists all available AgenticDev skills within a project to provide immediate bootstrap context for AI agents.
Establishes robust performance benchmarks to evaluate system health and identify regressions throughout the development lifecycle.
Implements structured decision-making methodologies and strategic planning frameworks for autonomous AI agents.
Audits design token adoption and consistency to eliminate hard-coded values and improve design system coverage.
Establishes standardized naming systems for design elements, components, and tokens to ensure consistency across design and development.
Automates the execution of project tasks by processing the next incomplete item in your TODO list while strictly adhering to your Definition of Done.
Implements robust, industry-standard session handling protocols to prevent hijacking, fixation, and unauthorized access.
Ensures reliable task execution by standardizing how the AI handles tool failures and prevents context drift.
Facilitates structured exploration of ideas and technical designs through iterative dialogue and research-backed validation.
Audits digital interfaces against WCAG 2.2 guidelines to ensure inclusive design and legal compliance.
Derives comprehensive test scenarios from use case specifications to validate end-to-end user workflows and functional requirements.
Manages Neovim environments through modular Lua configurations, native plugin orchestration, and automated nightly build systems.
Generates comprehensive developer handoff documents featuring precise measurements, interaction states, and design tokens to bridge the gap between design and implementation.
Enforces a rigorous, template-driven planning workflow for Claude Code sessions to ensure architectural consistency and comprehensive test coverage.
Architects complex multi-agent workflows and declarative agent configurations for the TX V4 harness.
Synthesizes execution insights into structured playbook updates for autonomous agent optimization.
Generates executable Python code for multi-app agent tasks using domain-specific playbooks and API patterns.
Analyzes failed AppWorld tasks to extract specific API usage patterns and generate actionable remediation playbooks.
Standardizes AI task execution by mandating skill invocation and methodology before any response or action.
Indexes project documentation by scanning markdown frontmatter to provide instant context while minimizing token consumption.
Automates secure environment variable management using the direnv-to-dotenv workflow to separate secret values from requirement definitions.
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