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 database interactions by providing enterprise-grade ActiveRecord query patterns, association designs, and PostgreSQL-specific performance strategies.
Analyzes codebase architecture and symbol hierarchies using a high-performance analytics layer to navigate complex projects.
Automates complex biomedical research tasks including genomics analysis, drug discovery, and clinical data interpretation through autonomous AI agents.
Manages Linear issues, projects, and team workflows directly through a high-performance command-line interface.
Generates distinctive, production-ready frontend interfaces using advanced design thinking to avoid generic AI aesthetics.
Simplifies text analysis and processing using modern NLP techniques including embeddings, tokenization, and transformer models.
Converts any Git repository into a prompt-friendly text file optimized for LLM analysis and context building.
Generates and styles accessible, production-ready Bootstrap 5.3 form components and responsive layouts using standardized patterns.
Standardizes the development lifecycle through a context-driven methodology that organizes projects into specs, plans, and tracks.
Streamlines machine learning workflows for genomic interval data using region embeddings, single-cell analysis, and consensus peak building.
Optimizes RAN energy efficiency and power management using cognitive consciousness and predictive analytics.
Analyzes and maps existing codebases to identify patterns, dependencies, and architectural constraints for new feature development.
Enforces a rigorous evidence-based workflow requiring command execution and output validation before any task is marked as finished.
Manages annotated data matrices and metadata for single-cell genomics and large-scale biological datasets in Python.
Transforms abstract ideas into validated technical designs through a structured, step-by-step collaborative dialogue.
Tests AI training pipelines for data poisoning vulnerabilities and backdoor injection to ensure model integrity.
Resolves path conversion conflicts between Windows Git Bash and Azure Data Factory CI/CD tools to ensure reliable build and deployment pipelines.
Streamlines the final stages of feature development by verifying tests and managing branch integration or cleanup workflows.
Automates the end-to-end PRP engineering cycle by orchestrating branch creation, documentation, implementation, and pull requests in a single sequence.
Audits and refines web interfaces based on Vercel's industry-leading design, accessibility, and performance standards.
Guides players through creating and advancing tabletop RPG characters using SRD 5.2 rules and automated stat calculations.
Validates Vertex AI Agent Engine deployments for production readiness by auditing security, monitoring, performance, and compliance standards.
Automates semantic versioning updates across plugin configuration files, marketplace catalogs, and git tags.
Guides the creation and optimization of custom Claude Code skills using best practices for modular, context-efficient AI workflows.
Accelerates development by orchestrating multiple AI agents to handle independent tasks and bug fixes simultaneously.
Conducts advanced machine learning research for Radio Access Networks using reinforcement learning, causal inference, and cognitive frameworks.
Integrates WooCommerce API and WordPress patterns to build and manage robust e-commerce solutions.
Automates deep academic research using the Perplexity Deep Research API to generate cited, evidence-based reports.
Enforces a strict evidence-first protocol requiring empirical verification and fresh command output before any task is marked as complete.
Implements clean architecture service layers with type-safe error handling and efficient data access patterns.
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