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。
Persists learned solutions and error patterns across autonomous coding sessions to create a self-healing development environment.
Audits game lore documentation for structural integrity, internal linking, and metadata completeness.
Generates distinctive, production-grade frontend interfaces and high-quality UI components that avoid generic AI aesthetics.
Styles digital artifacts like slides, documents, and landing pages using curated color palettes and professional font pairings.
Generates cross-linked narrative rumors and lore artifacts to populate game worlds with immersive leads and connections.
Architects robust React applications using modern state patterns for Redux Toolkit, Zustand, Jotai, and TanStack Query.
Implements metric-based quality assurance and monitoring for Amazon Bedrock AI agents using built-in and custom evaluators.
Facilitates isolated UI component testing across major frontend frameworks using Playwright's experimental component features.
Detects legacy code patterns and provides strategic guidance for modernization and architectural consistency.
Design and implement multi-layered memory architectures for AI agents to ensure long-term state persistence and entity consistency.
Configures and manages Amazon EKS networking components including VPC CNI, load balancers, and network security policies.
Manages and compresses AI context usage to ensure seamless session continuity during long-running development tasks.
Manages Rust and Python interoperability using PyO3 and maturin to build, test, and validate high-performance cross-language bindings.
Extracts and formalizes recurring patterns and best practices from development experiences to enable continuous ecosystem improvement.
Manages automated documentation refreshes and session-based learning capture for terminal configuration plugins.
Performs precise code modifications using Abstract Syntax Tree (AST) manipulation to minimize syntax errors and maintain structural integrity.
Builds and manages fully managed RAG solutions using Amazon Bedrock for semantic search and document-based AI applications.
Automates the step-by-step implementation of software tasks based on OpenSpec change specifications.
Provides a comprehensive command-line interface for managing autonomous coding tasks, spec creation, and QA validation within the Auto-Claude framework.
Manages the full lifecycle of autonomous coding sessions by automating initialization, state resumption, and iterative execution flows.
Improves code quality and team collaboration by applying structured review frameworks, checklists, and constructive feedback patterns.
Applies structural code changes using AST-aware edits to minimize syntax errors and maintain code integrity.
Optimizes context window usage by prioritizing essential information and reducing token consumption during autonomous coding tasks.
Manages the lifecycle of autonomous coding sessions by detecting progress, restoring state, and automating session continuation.
Systematically gathers technical knowledge, patterns, and best practices across the web, GitHub repositories, and MCP servers.
Simplifies the selection and optimization of xAI Grok models for development tasks through detailed capability and cost analysis.
Generates comprehensive, testable feature lists from project specifications to accelerate autonomous development workflows.
Validates file modifications against .agentignore rules to prevent unauthorized changes to sensitive project zones.
Compresses long-running session context into structured handoff files and action logs to maintain AI efficiency.
Integrates Playwright end-to-end tests with OpenTelemetry and Grafana to provide full-stack trace correlation and performance metrics.
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