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。
Renders complex mathematical formulas and LaTeX expressions within Obsidian notes for academic and technical documentation.
Guides users through the end-to-end Large Language Model fine-tuning lifecycle using a coach-driven workflow.
Guides the planning, creation, and review of new Claude Code skills and agents using structured workflows.
Scales Python workflows using parallel and distributed computing for datasets that exceed available memory.
Reviews code for quality, maintainability, and architectural integrity with a focus on actionable API design feedback.
Executes a rigorous Test-Driven Development (TDD) cycle to implement features based on task specifications and traceability requirements.
Scaffolds comprehensive self-learning resource projects with standardized templates for planning, task management, and project context.
Simplifies the creation of beautiful, accessible user interfaces using shadcn/ui components, Tailwind CSS utility styling, and canvas-based visual design systems.
Optimizes development workflows by enabling simultaneous work on multiple Git branches without the friction of context switching.
Implements sophisticated persistent memory systems to help AI assistants retain context and user information across multiple interactions.
Builds, fits, and validates sophisticated Bayesian models using PyMC's probabilistic programming interface.
Automates the generation of production-ready code and tests through a structured two-part planning and approval workflow.
Designs and implements robust event stores for high-performance event-sourced systems and microservices architectures.
Incorporate non-functional requirements like scalability, resilience, and security into software unit designs using proven architectural patterns.
Enforces maximum type safety and zero-tolerance for 'any' types through a pre-configured, strict TypeScript environment.
Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free Lightning modules and automated training workflows.
Defines non-functional requirements and selects optimized technology stacks for software components.
Generates and edits high-quality photorealistic images, illustrations, and visual assets using leading AI models like FLUX and Gemini.
Configures standardized git workflows, commit templates, and pre-commit hooks optimized for AI-assisted development with Claude Code.
Streamlines project discovery by acting as an AI Product Owner to gather, analyze, and document comprehensive technical and functional requirements.
Automates the creation of comprehensive software development execution plans by analyzing scope, impact, and risk.
Detects hardware resources and provides strategic architectural recommendations for computationally intensive scientific tasks.
Configures comprehensive code quality gates, automated linting, and CI workflows for AI-assisted development.
Configures persistent project memory and context optimization patterns for long-term Claude Code development sessions.
Generates comprehensive build instructions and multi-layered testing strategies for AI-developed software projects.
Standardizes git commit messages using Conventional Commits and ensures professional branch management for clean repository history.
Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement.
Configures a comprehensive, Claude-native developer environment including shell, editor, and git optimizations.
Bridges Beads multi-repository issue tracking with GitHub Projects and Shortcut to synchronize progress and visualize technical dependencies.
Architects comprehensive system operation design documents based on ITIL 4, SRE, and DevOps best practices.
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