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。
Optimizes and crafts high-performance prompts for Claude using Anthropic's official best practices and advanced patterns.
Optimizes and structures prompts for Claude using Anthropic’s official best practices and advanced design patterns.
Accelerates formal verification and mathematical proof development in Lean 4 through mathlib integration and compiler-guided repair.
Tracks the real-time status, token consumption, and context limits of active AI subagents to optimize multi-agent orchestration.
Provides expert UI/UX guidance to create unique, accessible, and functional web interfaces while maintaining strict design decision collaboration.
Automates bulk downloading of Douyin videos and metadata with incremental update support and data visualization.
Generates professional legal service documents, litigation plans, and consultation reports from case materials and communication logs.
Humanizes content by detecting and removing robotic AI-generated linguistic patterns and stylistic clichés.
Creates distinctive, production-grade frontend interfaces using advanced design thinking and aesthetic principles that move beyond generic AI patterns.
Orchestrates parallel development by managing git worktrees, automated dependency installation, and isolated Claude Code agent environments.
Converts PDFs, images, and office documents into structured Markdown using high-accuracy OCR and layout recognition.
Implements a disciplined Test-Driven Development cycle to ensure robust code quality through automated red-green-refactor patterns.
Analyzes legal judgments, complaints, and hearing transcripts to generate structured insights and decision support for appeals or retrials.
Conducts deep architectural research and comparative analysis of GitHub repositories to generate actionable project insights.
Transcribes audio and video files into structured Markdown documents with timestamps and speaker identification using local FunASR models.
Transforms raw git diff output into a structured, 4-column table optimized for human code reviews and approval gates.
Orchestrates specialized AI subagents to perform comprehensive quality reviews across architecture, security, performance, and legal domains.
Performs deep security analysis of business logic, race conditions, and AI implementations across multiple programming languages.
Formats Claude-facing documentation and YAML frontmatter to adhere to specific line-length and syntax standards.
Automates the process of splitting mixed file changes into logically grouped, standardized Git commits with conventional prefixes.
Safely removes code patterns from multiple files using automated validation, mandatory backups, and syntax checks to prevent data loss.
Orchestrates autonomous Claude Code subagents in isolated git worktrees for parallel task execution and context management.
Accesses and utilizes unique session identifiers via automatic variable substitution for precise conversation tracking and history management.
Creates new files and commits them to Git in a single atomic operation to significantly reduce AI latency.
Creates and manages YAML-based custom workflows and automation commands for the Obsidian Steward ecosystem.
Optimizes AI interactions by applying Anthropic's official prompt engineering best practices to improve accuracy, consistency, and structure.
Prevents common testing pitfalls like mock-centric assertions and production code pollution to ensure reliable, behavior-driven test suites.
Eliminates brittle tests and production code pollution by enforcing rigorous testing standards and TDD principles.
Prevents brittle test suites and production code pollution by enforcing high-standard mocking and architectural testing principles.
Guides the development of high-performance Claude Code skills through standardized frameworks and context-optimization best practices.
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