AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Synchronizes implemented session changes with SPECLAN documentation by automatically identifying and documenting new features or updates.
Automates the end-to-end workflow of committing code, running multi-agent security reviews, fixing issues, and merging pull requests.
Standardizes the creation and validation of software requirements documentation through automated templates and task extraction.
Streamlines parallel Git workflows by managing multiple active worktrees for seamless branch isolation.
Customizes Claude's interaction tone by persisting user preferences for technical or humanized responses.
Automates Claude Code command registration and plugin infrastructure management through battle-tested shell scripts.
Automates the removal of local and remote branches and worktrees after a pull request is successfully merged.
Automates the creation of GitHub Pull Requests with integrated pre-flight checks, issue linking, and optional screenshot support.
Automatically converts implementation plans into GitHub Issues and sets up local Git branches for immediate development.
Explores and maps complex codebases efficiently using RepoPrompt to minimize token usage while maximizing context.
Automates comprehensive security vulnerability scanning, secret detection, and OWASP compliance auditing for multi-language codebases.
Streamlines the transition from legacy AngularJS 1.x applications to modern Angular through hybrid setups and component modernization.
Automates end-to-end task completion through phased planning and autonomous execution without mid-process interruptions.
Orchestrates a systematic five-step process for analyzing, annotating, and critically evaluating academic research papers.
Streamlines the management of Model Context Protocol (MCP) server configurations and environment variables.
Automates Git operations including context-aware commits, branch pushes, and pull request creation.
Diagnoses and fixes linting, typechecking, and build failures in Turborepo monorepos to ensure seamless CI readiness.
Visualizes GitHub project status by aggregating issues, pull requests, and active development worktrees into a centralized view.
Automates the creation of clean, atomic Git commits with professional messages and zero AI attribution.
Generates professional, publication-quality data visualizations and charts using Python's foundational plotting library.
Simplifies the creation, validation, and testing of Model Context Protocol (MCP) servers using FastMCP templates and automation scripts.
Analyzes codebase structure to automatically identify frameworks, dependencies, and AI components for seamless project onboarding.
Identifies programming languages, frameworks, and directory structures to automatically configure the development environment.
Identifies project frameworks and recommends the optimal hosting platform based on technical requirements and repository structure.
Organizes development specifications into complexity-stratified tasks and assigns them to specialized AI agents for optimized parallel execution.
Streamlines Git worktree management by automating feature isolation, database snapshots, and development server setup.
Analyzes source code to identify complex logic bugs, unhandled edge cases, and critical error handling failures before they reach production.
Builds and validates Bayesian statistical models using PyMC's probabilistic programming framework.
Optimizes AI context windows through strategic compression, masking, and partitioning to handle larger tasks and reduce operational costs.
Synchronizes documentation across specifications, architecture, and ADRs using Mem0 for intelligent relationship tracking.
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