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。
Extracts learnings from session corrections and patterns to update skill files with persistent, version-controlled memory.
Migrates dbt Core projects to the dbt Fusion engine by resolving compatibility errors, deprecations, and unsupported configurations.
Streamlines the creation and configuration of unit tests for dbt models to ensure SQL logic reliability and facilitate TDD.
Implements clean, production-grade code across diverse tech stacks using a structured, bilingual development workflow.
Conducts deep technical investigations and root cause analyses to guide informed software development decisions.
Optimizes, configures, and troubleshoots the Metro bundler for React Native and Expo mobile applications.
Simplifies the creation and management of dbt Semantic Layer components including semantic models, metrics, and dimensions.
Master real-time event streaming and data processing using ksqlDB's SQL-like syntax on Kafka topics.
Facilitates expert product discovery and feature ideation using structured frameworks like story mapping, event storming, and data-driven prioritization.
Guides the configuration and troubleshooting of dbt MCP server connections for AI-powered data engineering and analytics workflows.
Optimizes your development workspace by intelligently archiving old, completed, and inactive Specweave increments to keep your project organized.
Standardizes the end-to-end bug resolution process from discovery and tracking to regression testing and verification.
Streamlines the process of compiling OCaml to JavaScript or WebAssembly and publishing the results as npm packages.
Manages the end-to-end lifecycle of release candidates, from alpha tagging and testing validation to production promotion and automated rollbacks.
Automates the creation of structured, production-ready development increments including specifications, technical plans, and task lists.
Architects resilient, scalable systems using an organism-based methodology to identify constraints and mitigate failure points.
Refactors and improves OCaml code by enforcing idiomatic patterns, naming conventions, and modular design principles.
Generates comprehensive development specifications, technical plans, and task breakdowns using context-aware AI templates.
Detects unusual patterns and outliers in data using statistical methods and machine learning algorithms integrated with the SpecWeave workflow.
Decomposes complex multi-step requests into atomic sub-tasks for parallel execution and automated result aggregation.
Orchestrates the generation of production-ready Mermaid architecture diagrams following C4 conventions and organizational standards.
Designs and implements production-grade DAG-based MLOps pipeline architectures using orchestrators like Airflow, Dagster, and Kubeflow.
Transforms abstract requirements into clear, testable, and production-ready technical specifications using industry-standard frameworks.
Synchronizes semantic versioning across multiple repositories and microservices using intelligent release strategies and commit analysis.
Organizes development specifications and synchronizes tasks across complex multi-project Azure DevOps architectures.
Enforces high-quality testing standards by preventing mock-testing, production code pollution, and uninformed dependency isolation.
Architects high-performance web applications using Next.js 14+ App Router, React Server Components, and optimized data fetching strategies.
Orchestrates the SpecWeave autonomous development lifecycle by enforcing spec-driven workflows, increment discipline, and automated living documentation.
Orchestrates autonomous software development workflows through intelligent slash commands and automated task tracking.
Evaluates software specifications and plans using AI-powered risk scoring and formal quality gate validation.
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