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。
Analyzes Claude Code session transcripts to debug plugin behavior, optimize context usage, and trace tool execution flows.
Automates Harness Code repository workflows, PR pipelines, and GitOps synchronization for AWS EKS deployments.
Generates sophisticated "Level 6" meta-prompts that automate the creation of high-quality, standardized prompts for Claude Code.
Implements robust testing strategies for Spring Boot applications using unit, integration, and slice testing patterns.
Manages Toggl time entries and generates detailed productivity reports directly within your AI development environment.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX manuscripts.
Implements methodical troubleshooting techniques and root cause analysis to efficiently resolve complex software bugs across multiple tech stacks.
Manages Terraform provider configurations, versioning, and multi-cloud patterns for infrastructure as code.
Enables proactive collaboration with OpenAI Codex for architectural validation, multi-turn brainstorming, and comprehensive code reviews.
Orchestrates parallel subagents to perform structured, multi-source web investigations and synthesize findings into comprehensive reports.
Manages Obsidian vault mechanics, including wiki links, configuration parsing, and daily note automation.
Generates comprehensive design systems, component specifications, and detailed user journeys for production-grade software projects.
Analyzes writing samples to extract unique linguistic patterns and creates a reusable voice skill for consistent, human-like content.
Apply professional typography principles to create readable, hierarchical, and aesthetically refined user interfaces.
Implements modern React and Next.js design patterns to build high-performance, accessible user interfaces.
Performs comprehensive, tiered code research across local repositories, terminal utilities, and external web sources.
Enforces a strict Red-Green-Refactor cycle to ensure every line of production code is verified by a test that was proven to fail first.
Implements secure, industry-standard authentication and authorization patterns including JWT, OAuth2, and Role-Based Access Control.
Automates the creation of high-quality GitHub Pull Requests by enforcing Rust pre-flight checks and standardized branch workflows.
Identifies and helps resolve contradictions between project requirements, technical decisions, and development plans.
Facilitates drug discovery and therapeutic machine learning by providing AI-ready datasets, benchmarks, and molecular evaluation oracles.
Implements systematic edge case and boundary condition testing patterns for Java applications using JUnit 5.
Implement industry-standard backend architectures including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design for maintainable systems.
Automates production-grade PDF workflows including form filling, table extraction, and OCR processing.
Enhances image quality, resolution, and sharpness to create professional-grade visuals for documentation and social media.
Queries and analyzes openFDA data for drugs, medical devices, food safety, and adverse events using a standardized Python interface.
Implements modern React and Next.js architectural patterns to build performant, scalable, and maintainable user interfaces.
Simplifies machine learning model interpretation by generating SHAP values and visualizations for model transparency and debugging.
Decodes and analyzes the core architectural signals of the X recommendation engine, including SimClusters, RealGraph, and TweepCred.
Implements secure secret management patterns using the AWS SDK for Java 2.x to store, retrieve, and rotate credentials programmatically.
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