Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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adr-decision-extraction
Extract architectural decisions from conversations. Identifies problem-solution pairs, trade-off discussions, and explicit choices. Use when analyzing session transcripts for ADR generation.
majiayu000/claude-skill-registry 163
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proposal-formatter
Format trading proposals with timestamped headers and disciplined bullet structure. Use when a persona must deliver a single consolidated proposal with Schwab timestamps, bold parent bullets, and one-metric-per-line nested bullets.
majiayu000/claude-skill-registry 163
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web-deploy
Website deployment to Caddy. Use when user mentions deploy website, create page, update site, publish, reload caddy.
majiayu000/claude-skill-registry 163
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dotnet-clean-architecture
.NET Clean Architecture patterns with CQRS, DDD, and best practices. Use when implementing features in .NET solutions following Clean Architecture principles.
majiayu000/claude-skill-registry 163
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gemini-delegation-patterns
Strategic patterns for Claude-to-Gemini delegation. Covers decision criteria, execution patterns, result parsing, and error handling. Use when determining if a task should be delegated to Gemini CLI.
majiayu000/claude-skill-registry 163
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data-insights
Generate actionable insights from transaction data. Use when implementing insight generators, anomaly detection, or data analysis features for financial/tax tracking applications.
majiayu000/claude-skill-registry 163
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foundational-principles
基础原则 - AI 助手的核心思维原则和指令框架概述。包含系统思维、辩证思维、创新思维和批判思维四大核心原则。
majiayu000/claude-skill-registry 163
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Model Deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
majiayu000/claude-skill-registry 163
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Memorize
Use this to save important implementation decisions, patterns, or context to the Nori knowledge base for future sessions.
majiayu000/claude-skill-registry 163
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constraints-scheduling
Provides systematic approaches for solving constraint-based scheduling problems, such as finding meeting times that satisfy multiple participant availability windows, preferences, and existing calendar conflicts. This skill should be used when tasks involve scheduling with constraints, calendar conflict resolution, time slot optimization, or finding valid time windows across multiple inputs with hard and soft constraints.
majiayu000/claude-skill-registry 163
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Create database migration
Create a database migration to add a table, add columns to an existing table, add a setting, or otherwise change the schema of Ghost's MySQL database.
majiayu000/claude-skill-registry 163
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mongodb-replication-sharding
Master MongoDB replication, replica sets, and sharding for distributed deployments. Learn failover, shard keys, and cluster management. Use when setting up high availability or scaling horizontally.
majiayu000/claude-skill-registry 163
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moai-domain-devops
CI/CD pipelines, Docker 27, Kubernetes 1.32, and infrastructure as code.
majiayu000/claude-skill-registry 163
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tensorrt-llm
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
majiayu000/claude-skill-registry 163
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journey-mapping
Use to facilitate cross-functional journey mapping with data-backed insights.
majiayu000/claude-skill-registry 163
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verbalized-sampling
Prompt engineering technique to overcome mode collapse in LLM responses by generating multiple answers with probabilities. Use when you want to see alternative responses beyond the top-ranked answer, explore the full distribution of possible responses, discover unexpected solutions, or understand the probability range of different answers. Particularly useful for creative tasks, complex decision-making, brainstorming, and situations where conventional top-ranked answers may be limiting.
majiayu000/claude-skill-registry 163
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kubernetes-skill
Kubernetes 클러스터 관리 스킬. kubectl로 파드/디플로이먼트/서비스 관리, 로그 조회, 포트포워딩, 디버깅 지원. "k8s", "kubectl", "파드" 키워드로 활성화.
majiayu000/claude-skill-registry 163
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add-k8s-service
往 Kubernetes 集群添加普通服务。当用户请求部署新应用、添加新服务到集群时使用此技能。
majiayu000/claude-skill-registry 163
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supabase-multi-env-setup
Configure Supabase across development, staging, and production environments.
Use when setting up multi-environment deployments, configuring per-environment secrets,
or implementing environment-specific Supabase configurations.
Trigger with phrases like "supabase environments", "supabase staging",
"supabase dev prod", "supabase environment setup", "supabase config by env".
majiayu000/claude-skill-registry 163
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docker-optimization
Optimize Docker images for Python applications including multi-stage builds (70%+ size reduction), security scanning with Trivy, layer caching, and distroless base images. Use when creating Dockerfiles, reducing image size, improving build performance, or scanning for vulnerabilities.
majiayu000/claude-skill-registry 163
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serverless-aws
Patterns for AWS Lambda, DynamoDB, SQS, and Secrets Manager. Use when working on serverless AWS projects.
majiayu000/claude-skill-registry 163
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Observability & Monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
majiayu000/claude-skill-registry 163
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github-actions-ssh-deploy
交互式配置 GitHub Actions 通过 SSH 密钥连接 VPS 的向导。当用户需要设置 GitHub Actions 部署到 VPS、配置 CI/CD SSH 连接、生成部署 workflow 时使用此 skill。通过问答方式收集必要信息后生成完整配置。
majiayu000/claude-skill-registry 163
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inference-latency-profiler
Inference Latency Profiler - Auto-activating skill for ML Deployment.
Triggers on: inference latency profiler, inference latency profiler
Part of the ML Deployment skill category.
majiayu000/claude-skill-registry 163