AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.
Architects scalable UI component systems using the Atomic Design methodology to prioritize component reuse and structural consistency.
Guides feature planning and development using Minimum Viable Product principles to focus on essential functionality and rapid delivery.
Guides the development and standardization of custom Claude Code skills by providing structural templates, best practices, and optimization strategies.
Enforces rigorous Linear issue tracking by ensuring all development work is linked to active tickets and status updates are performed in real-time.
Manages stacked pull requests using the Graphite CLI to ensure proper branch dependencies and streamlined code reviews.
Implements robust, type-safe React state management using XState v5 and the actor model to eliminate impossible UI states.
Standardizes the creation of high-quality Jira issue descriptions, subtasks, and acceptance criteria to ensure clear execution by developers or AI.
Performs comprehensive quality assessments across SAX packages to ensure structural integrity and adherence to development standards.
Automates the resolution of GitHub pull request feedback by processing every review comment and fixing failing CI checks with structured, individual commits.
Automates the creation, initialization, and validation of SAX-compliant skills based on Anthropic standardization patterns.
Analyzes source code to identify anti-patterns, potential bugs, and performance bottlenecks while ensuring adherence to industry best practices.
Streamlines the development of specialized Claude skills using modular architecture and progressive disclosure patterns.
Manages version control operations using a modern, change-centric workflow that is fully compatible with Git.
Executes structured technical implementation plans using an orchestrator model to delegate and parallelize development tasks.
Guides users through discovering, combining, and implementing to-be-continuous GitLab CI/CD templates using a conversational, deterministic approach.
Guides developers in building and extending production-ready to-be-continuous components for GitLab CI/CD following ecosystem best practices.
Demonstrates the basic structure and integration patterns for creating custom capabilities within the opencode-skills framework.
Records interactive Claude sessions into reusable, production-ready skills by monitoring and documenting real-time actions and reference materials.
Conducts deep, multi-agent analysis of existing codebases to document functionality, trace implementation logic, and map architectural patterns.
Standardizes the creation, validation, and architectural structure of Claude Code skills using mandatory naming conventions and workflows.
Analyzes conversation history and git activity to surface learning patterns, identify knowledge gaps, and provide project retrospectives.
Provides a standardized boilerplate and documentation structure for developing new custom Claude Code skills.
Automates the extraction and regeneration of JSON schemas from the To-Be-Continuous Kicker source to maintain accurate GitLab CI/CD template validation.
Maintains project integrity by synchronizing roadmaps, reconciling issue trackers with actual implementation, and organizing completed work into archives.
Accelerates mastery of any subject by identifying high-impact material, building expert vocabulary, and generating research-backed learning roadmaps.
Evaluates GitLab To-Be-Continuous (TBC) templates and components to determine the most efficient, framework-aligned approach for CI/CD requirements.
Transforms unstructured text from any source into clean, validated JSON based on specific user-defined fields or schemas.
Facilitates the creation, validation, and documentation of production-ready subagents for Claude Code using structured schemas and protocol specifications.
Conducts comprehensive audits of codebases to evaluate structure, technology stacks, documentation quality, and overall maintainability.
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