AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Accelerates the development of new Claude Code skills by providing a standardized, production-ready document structure and boilerplate.
Implements type-safe, reactive forms in Angular using the v21+ Signals API and schema-based validation.
Audits code for security vulnerabilities using OWASP standards, input validation checks, and comprehensive authentication reviews.
Provides a systematic framework for reproducing, isolating, and resolving software bugs and production incidents.
Initializes projects using intelligent framework detection and architectural analysis to generate optimized Claude Code configurations.
Generates a comprehensive project status briefing to help developers quickly resume work after a hiatus.
Generates consensus-driven technical decisions by synthesizing insights from Claude, Codex, and Gemini through a three-stage voting pipeline.
Manages parallel execution of multiple autonomous AI agents to accelerate complex development tasks through coordinated workflows.
Implements a test-driven development framework for creating, validating, and refactoring specialized AI skills.
Orchestrates complex multi-step tasks by mapping dependencies and grouping parallel workflows into optimized, human-approved execution plans.
Orchestrates and executes Model Context Protocol (MCP) tools through a unified TypeScript-based gateway within Claude Code.
Identifies and resolves Swift 6.2+ concurrency issues by applying actor isolation, Sendable safety, and modern data-race patterns.
Automates the process of porting and publishing custom Claude Code skills to a centralized marketplace repository.
Delivers structured, chunked, and resumable technical explanations that maintain context even when interrupted by follow-up questions.
Manages the full lifecycle of project specifications from draft to completion within the Claude Code environment.
Standardizes the creation of deterministic, high-quality Claude Code skills by enforcing structured templates and opinionated constraints.
Converts Slack threads into well-formatted Markdown documents for documentation and archival purposes.
Analyzes recent git commits to identify behavior-preserving code improvements like guard clauses, dead code removal, and better variable naming.
Transforms vague or ambiguous software requirements into precise, actionable technical specifications through structured, iterative questioning.
Accesses, downloads, and analyzes French public datasets from the official data.gouv.fr portal using specialized Python tools and documentation.
Executes specification-driven code implementation with automated quality gates and multi-agent orchestration.
Identifies missed and partially covered code paths to systematically improve test suite quality and reliability.
Streamlines the software delivery lifecycle by automating code validation, commit organization, multi-agent reviews, and pull request creation.
Facilitates consensus-driven decision-making by orchestrating multiple AI models to evaluate complex architectural and implementation questions.
Analyzes interaction history to identify mistakes and automatically propose optimizations for .claude configuration files and project guardrails.
Optimizes product documentation and growth strategies for discovery, extraction, and recommendation by AI agents.
Facilitates structured exploration of problem spaces and iterative software design before starting implementation.
Conducts structured, conversational interviews to uncover project requirements, technical constraints, and design decisions.
Downloads and converts public Google Docs, Sheets, and Slides into local formats for direct analysis and integration.
Generates and validates optimized YAML configurations for the Model Context Protocol (MCP) Benchmark Runner.
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