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。
Guides the development of high-quality Model Context Protocol (MCP) servers to integrate LLMs with external APIs and services.
Manages semantic versioning for Lithuanian HTML practice tests to ensure consistent state and progress tracking.
Defines specialized Rule of Constraints (RoC) policy bundles to establish guardrails and autonomy boundaries for AI agents.
Validates and fixes n8n expression syntax to ensure reliable workflow automation and data mapping.
Manages development sessions to enable live editing and testing of justfiles without rebuilding OS images.
Provides expert guidance and implementation patterns for writing Python scripts within n8n workflow Code nodes.
Interprets n8n validation errors and provides actionable guidance for fixing workflow node configurations and structures.
Streamlines JavaScript development within n8n workflows by providing expert guidance on syntax, data access patterns, and return requirements.
Guides the creation, validation, and management of n8n automation workflows using specialized MCP tools and best practices.
Streamlines n8n workflow development with operation-aware node configuration and property dependency mapping.
Automates and unifies the build process for OS images, containerized pods, VM images, and ISO installers with smart caching.
Guides the development of high-performance web services and APIs using the Rust ecosystem.
Enforces production-grade PostgreSQL standards for transaction safety, strict typing, and consistent naming to prevent data corruption.
Enhances software reliability by generating random inputs to verify invariants and edge cases across multiple programming languages.
Builds high-quality fine-tuning datasets from literary works to train AI models in specific authorial voices and writing styles.
Enforces clarity and authenticity in developer documentation by removing robotic AI patterns and filler.
Builds robust, ergonomic command-line tools in Rust using industry-standard libraries and best practices.
Optimizes Rust code using static and dynamic dispatch to implement efficient, zero-cost abstractions.
Optimizes Rust project architecture by providing expert guidance on crate selection, dependency management, and cross-language integration.
Guides the implementation of Domain-Driven Design patterns in Rust to ensure type-safe business logic and strict data invariants.
Diagnoses and mitigates AI agent performance failures caused by long-context attention loss, poisoning, and informational clash.
Designs and implements sophisticated multi-agent systems using supervisor, swarm, and hierarchical patterns to solve complex context management challenges.
Optimizes Rust-based IoT development by enforcing domain-specific constraints like power efficiency, network reliability, and edge computing patterns.
Fetches real-time Rust versioning, crate metadata, and API documentation using specialized background agents.
Identifies and refactors non-idiomatic Rust code by replacing common pitfalls with production-grade design patterns.
Standardizes the creation and implementation of new Claude Code skills for context engineering.
Routes Rust-related inquiries through a three-layer meta-cognition framework to provide deep architectural and language-specific solutions.
Optimizes Rust application performance through systematic measurement, profiling, and high-efficiency implementation patterns.
Guides developers through resolving complex Rust ownership, borrowing, and lifetime errors using idiomatic design patterns.
Enforces strict financial engineering standards in Rust, ensuring precision math, immutable audit trails, and regulatory compliance.
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