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。
Provides expert guidance on software architecture patterns, system design tradeoffs, and implementation strategies.
Validates and automates the installation of SpecWeave plugins to ensure a correctly configured autonomous development environment.
Manages Apache Kafka clusters and data streams using modern CLI tools like kcat, kaf, and kafkactl.
Synchronizes SpecWeave software specifications with GitHub Projects and Issues to maintain team visibility and track progress automatically.
Streamlines the design and implementation of event-driven n8n workflows integrated with Apache Kafka for scalable automation.
Automates declarative Kubernetes deployments using ArgoCD and Flux CD following OpenGitOps principles.
Deploys and manages production-grade Apache Kafka clusters on Kubernetes using Strimzi, Confluent operators, and Helm charts.
Synchronizes SpecWeave development increments with JIRA epics and stories to maintain alignment between documentation and task statuses.
Builds and optimizes high-performance, accessible web applications using modern frameworks like React, Vue, and Angular.
Synchronizes semantic versioning across multiple repositories and microservices using intelligent release strategies and commit analysis.
Builds high-performance Python backends including FastAPI APIs, data processing pipelines, and ML-integrated services.
Manages schema evolution and compatibility for Avro, Protobuf, and JSON Schema within the Kafka ecosystem.
Reduces token usage by up to 80% through intelligent intent analysis and surgical removal of irrelevant context from Claude's workspace.
Designs and implements production-grade DAG-based MLOps pipeline architectures using orchestrators like Airflow, Dagster, and Kubeflow.
Architects scalable, production-grade design systems using Atomic Design principles and design tokens.
Orchestrates the generation of production-ready Mermaid architecture diagrams following C4 conventions and organizational standards.
Detects unusual patterns and outliers in data using statistical methods and machine learning algorithms integrated with the SpecWeave workflow.
Generates comprehensive development specifications, technical plans, and task breakdowns using context-aware AI templates.
Validates and automatically configures Jira projects and boards within your development environment.
Transforms abstract requirements into clear, testable, and production-ready technical specifications using industry-standard frameworks.
Automates the creation of structured, production-ready development increments including specifications, technical plans, and task lists.
Manages the end-to-end lifecycle of release candidates, from alpha tagging and testing validation to production promotion and automated rollbacks.
Orchestrates end-to-end machine learning workflows within a disciplined, spec-driven development framework.
Optimizes your development workspace by intelligently archiving old, completed, and inactive Specweave increments to keep your project organized.
Streamlines data transformation and analytics engineering workflows by applying software engineering best practices to dbt projects.
Facilitates expert product discovery and feature ideation using structured frameworks like story mapping, event storming, and data-driven prioritization.
Integrates PayPal payment processing, including express checkout, recurring billing, and automated refund workflows.
Investigates and resolves software bugs through hypothesis-driven reproduction and evidence-based fixes.
Diagnoses and fixes failing CI pipelines and containerized environments by reproducing issues locally and identifying root causes.
Converts brainstorming sessions into structured, linear execution specifications for automated development workflows.
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