AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Enhances ASCII UI components by automatically generating interaction states like hover, focus, and disabled for rapid prototyping.
Configures and customizes the Claude Code terminal status line with real-time metrics, progress bars, and project metadata.
Validates complex multi-tier applications by performing parallel cross-component checks across frontend, backend, database, and infrastructure layers.
Orchestrates parallel execution of tasks and coordinates concurrent tool calls to maximize efficiency and reduce processing latency.
Conducts a structured interview to capture and persist your global coding preferences and communication style across all Claude Code sessions.
Transforms raw meeting transcripts into structured notes with summaries, action items, and YAML metadata for personal knowledge management systems.
Implements battle-tested software architecture standards and security patterns for production-ready systems.
Integrates the Playgama Bridge SDK into Defold game projects for cross-platform publishing and monetization.
Automates project-specific pattern recognition and retrieval to optimize Claude's execution strategy through continuous self-learning.
Builds production-ready, accessible web applications using the React, Tailwind CSS, and shadcn/ui stack.
Optimizes agent behavior by automatically identifying the active LLM and adjusting execution configurations for maximum cross-model compatibility.
Optimizes ML data workflows using Polars, Arrow, and ClickHouse for high-performance, memory-efficient pipeline development.
Generates structured implementation plans optimized for AI sub-agent execution with context-aware phase sizing.
Discovers and lists all available AgenticDev skills within a project to provide immediate bootstrap context for AI agents.
Generates structured, clear, and authentic technical articles, tutorials, and programming guides that prioritize reader value.
Orchestrates specialized AI subagents using a rigorous TDD workflow and traceable requirements hierarchy to deliver high-quality software.
Analyzes codebase structure and complexity to identify refactoring opportunities and technical debt.
Develops and renders publication-ready causal directed acyclic graphs (DAGs) from research questions and social science literature.
Drafts publication-ready Theory and Literature Review sections for sociology journal articles based on empirical field norms.
Conducts comprehensive security audits to identify and remediate vulnerabilities across authentication, input validation, and API implementation.
Automates the end-to-end development lifecycle for Linear issues using test-driven development, specialized code reviews, and integrated pull request creation.
Integrates HTML5 games with the Playgama Bridge SDK to enable cross-platform features like advertisements, in-app purchases, and social interactions.
Scaffolds the essential directory structure and configuration files required for a spec-driven development workflow.
Anticipates task requirements to pre-load optimal skills, significantly reducing latency and token consumption during autonomous execution.
Transforms textbook chapters and academic readings into high-retention, evidence-based lecture presentations via Google Slides.
Orchestrates autonomous sprint execution by coordinating subagents to implement GitHub issues through a complete development lifecycle.
Guides researchers through systematic, theory-driven qualitative interview analysis to identify anomalies and generate novel theoretical insights.
Guides social science researchers through systematic computational text analysis using R and Python workflows.
Applies preferred coding patterns, best practices, and library-specific tips when writing or refactoring JavaScript and TypeScript code.
Synthesizes academic literature corpora into theoretical maps and debate frameworks using Zotero integration.
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