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概要と使いどころ
This skill provides criteria to distinguish unilateral from bilateral primary aldosteronism using adrenal venous sampling results, including lateralization index, contralateral ratio, and clinical factors. It is triggered after AVS when clinicians analyze results and ask 'Is this unilateral or bilateral PA?' or need to guide treatment decisions.
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Determines unilateral vs bilateral aldosterone excess based on cortisol-corrected aldosterone ratios from adrenal venous sampling, with ratio >4:1 indicating unilateral excess, ratio 3:1 suggestive of bilateral hypersecretion, and interpretation dependent on cosyntropin stimulation protocol used during sampling. Use when analyzing AVS results to guide surgical vs medical treatment decisions; triggers include 'AVS lateralization ratio', 'cosyntropin-stimulated AVS', 'aldosterone-to-cortisol ratio >4:1', and 'ratio 3:1 suggestive of bilateral disease'.
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Determines whether adrenal venous sampling (AVS) is needed in addition to CT for lateralizing primary aldosteronism before surgery. Trigger phrases include "patient with primary aldosteronism considering surgery", "unilateral adrenal adenoma on CT", "surgical candidate", and "age <35 with hypokalemia and >1‑cm adenoma".
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An infographic skill for AI agents — works inside Claude Code, Codex, Hermes, OpenClaw, Cursor, and any agent host that loads skills. Create professional infographics as self-contained HTML files with PNG exports. Use when the user asks to create, design, generate, build, or make an infographic, data visualization, visual explainer, chart poster, cheatsheet, or pocket guide. Trigger phrases include "make this visual", "turn this into a graphic", "visualize this data", "infographic for X", "cheatsheet for X", or when the user provides structured data (tokenomics allocations, ecosystem/partner lists, timelines, comparisons, step-by-step processes) AND asks for a visual output. Covers tokenomics, ecosystem overviews, game overviews, cheatsheets, airdrop guides, comparisons, and process flows. Do NOT trigger for plain text answers, markdown tables, bulleted summaries, questions asking for advice or explanations about a topic (even when the topic is tokenomics, ecosystem, vesting, etc.), inline chat diagrams, or data processing with no visual output requested. The signal is "asks for a visual", not "mentions a keyword".
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Plan and implement infrastructure, CI/CD, container, deployment, observability, and operational configuration changes with least privilege, staged validation, and rollback awareness. Use for pipelines, infrastructure as code, Kubernetes, containers, release automation, monitoring, and production-readiness work; do not use to perform destructive production actions without explicit authorization.
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Build or modify backend APIs, services, jobs, persistence, and integrations while preserving contracts, authorization, data integrity, and failure behavior. Use for server-side features, database changes, background processing, backend defects, and service refactors; do not use for frontend-only or infrastructure-only work.
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vLLM: high-throughput LLM serving, OpenAI API, quantization.
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Generate visual assets (ASCII art, diagrams, banners) for repos and documentation
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Optimizes application performance. Use when performance requirements exist, when you suspect performance regressions, or when Core Web Vitals or load times need improvement. Use when profiling reveals bottlenecks that need fixing.
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Generate architecture diagrams with draw.io in headless/server environments (WSL2, VPS, Docker)
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Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
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Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.
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Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models.
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Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer
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Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.
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Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.
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Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices.
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API security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
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Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration.
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Automate Anthropic Admin tasks via Rube MCP (Composio): API keys, usage, workspaces, and organization management. Always search tools first for current schemas.
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Angular performance optimization and best practices guide. Use when writing, reviewing, or refactoring Angular code for optimal performance, bundle size, and rendering efficiency.
日本語の概要は準備中です。原文の説明を表示しています。
Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
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Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.
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Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
日本語の概要は準備中です。原文の説明を表示しています。