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。
Implements a robust 8-layer security architecture to harden AI pipelines and protect LLM integrations from end-to-end.
Implements production-grade security patterns for LLM integrations to defend against prompt injection and prevent hallucinations.
Implements high-performance parallel execution patterns for LangGraph workflows using fan-out, fan-in, and map-reduce strategies.
Automates GitHub release workflows using semantic versioning and the gh CLI to streamline production delivery.
Implements robust human-in-the-loop patterns for LangGraph workflows to enable manual review gates and approval-based agent supervision.
Enhances RAG retrieval accuracy by generating hypothetical answer documents to bridge vocabulary gaps in semantic search.
Implements comprehensive logging, metrics, distributed tracing, and alerting systems to ensure application reliability and performance.
Builds high-performance Next.js 16+ and React 19 applications using server-first architecture and streaming SSR.
Optimizes LLM performance and reduces API costs by implementing provider-native prompt caching for Claude and OpenAI models.
Automates the curation and quality validation of high-fidelity evaluation datasets using multi-agent analysis pipelines.
Executes comprehensive test suites across backend and frontend environments with automated failure analysis and coverage reporting.
Curates and validates high-quality documents for golden datasets using a multi-agent evaluation workflow.
Verifies that creative assets meet brand, accessibility, and localization standards before publication through structured audit frameworks.
Accelerates repository onboarding and architectural understanding through parallel multi-agent codebase analysis.
Conducts comprehensive pull request reviews using a swarm of specialized AI agents to ensure code quality, security, and architectural integrity.
Establishes comprehensive KPI frameworks and reporting systems to track brand health, consistency, and business impact.
Analyzes and attributes deltas between revenue forecasts and actual results to recommend data-driven remediation strategies.
Evaluates AI-generated content quality using LLM-as-judge patterns, RAGAS metrics, and automated hallucination detection.
Implements robust state management patterns for LangGraph workflows using TypedDict, Pydantic, and custom reducers.
Validates SkillForge plugin configurations and performs comprehensive system health checks to ensure stable AI development environments.
Guides architectural planning through structured questioning to ensure scalability, security, and coherence before implementation.
Guides the architectural design of Nette web applications using modern best practices and domain-driven organization.
Standardizes account scoring and risk assessment to drive proactive customer success and retention workflows.
Optimizes LLM context windows through strategic positioning, token budgeting, and attention-aware design to maximize signal and reduce costs.
Implements rigorous end-to-end type safety and runtime validation using Zod, tRPC, and Prisma for robust TypeScript and Python applications.
Stores architectural decisions, coding patterns, and lessons learned in a persistent knowledge graph for Claude Code.
Architects scalable, accessible UI design systems using design tokens, atomic component patterns, and WCAG-compliant implementation guides.
Implements robust integration testing patterns for APIs, databases, and complex component interactions across modern tech stacks.
Monitors LLM expenditures and analyzes cache efficiency using Langfuse observability for complex multi-agent systems.
Enforces operational controls and cadence rules for multi-channel social media publishing schedules.
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