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このリポジトリの skills
SkillsMP は FerroxLabs/wayland から 2,295 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
FerroxLabs/wayland収集済み skill 2,295 件中 40 件を表示しています。
MLOps and deployment covering model serving (TorchServe, TF Serving, Triton), containerized inference, A/B testing deployment, model monitoring (data drift, concept drift), feature stores, CI/CD for ML, GPU optimization, and model compression. Use when the…
原文の言語: 英語
Advanced model evaluation covering LLM benchmarks, evaluation frameworks (lm-evaluate-harness, HELM, RAGAS), leaderboard interpretation, custom metrics design, human evaluation protocols, automated LLM-as-judge patterns, and evaluation pipeline architecture…
原文の言語: 英語
ML model assessment covering classification metrics (precision, recall, F1, AUC-ROC), regression metrics (MAE, RMSE, R2), confusion matrix analysis, cross-validation strategies, bias detection, fairness metrics, and A/B testing for models. Use when the user…
原文の言語: 英語
Multimodal AI pipeline design covering vision-language models, text-audio integration, image generation, model selection across modalities, preprocessing pipelines, fusion architectures, and production deployment of multi-modal inference systems. Use when the…
原文の言語: 英語
NLP processing covering tokenization, named entity recognition, sentiment analysis, text classification, summarization, topic modeling, language detection, text preprocessing, transformer architecture, and Hugging Face pipeline usage. Use when the user asks…
原文の言語: 英語
Advanced Notion workspace design covering database architecture, relations and rollups, templates, dashboard creation, team workspaces, formulas, API integrations, and using Notion as a CRM, project manager, and knowledge wiki. Use when the user asks about…
原文の言語: 英語
Advanced Obsidian knowledge management covering Zettelkasten methodology, linking strategy, graph navigation, essential community plugins, templates, daily notes workflow, publishing options, and personal knowledge management principles. Use when the user…
原文の言語: 英語
PKM systems comparison covering PARA, Zettelkasten, GTD, and Building a Second Brain methodologies with capture workflows, processing routines, retrieval strategies, tool selection guidance, and information diet management. Use when the user asks about…
原文の言語: 英語
Prompt engineering mastery covering chain-of-thought reasoning, few-shot learning, system prompt design, structured output with JSON mode, prompt injection prevention, temperature and top-p tuning, context window management, evaluation metrics, and A/B…
原文の言語: 英語
Guides expert-level prompt engineering implementation: ai-ml and best-practices decision frameworks, production-ready patterns, and concrete templates for prompt engineering workflows. Use when the user asks about prompt engineering, prompt engineering…
原文の言語: 英語
RAG system design covering document chunking strategies, embedding model selection, vector database selection (Pinecone, Weaviate, Chroma, pgvector), retrieval strategies (hybrid search, re-ranking), context window packing, and assessment of faithfulness and…
原文の言語: 英語
Guides expert-level rag pipeline design implementation: ai-ml and database decision frameworks, production-ready patterns, and concrete templates for rag pipeline design workflows. Use when the user asks about rag pipeline design, rag pipeline design…
原文の言語: 英語
Advanced Excel and Google Sheets mastery covering lookup functions, pivot tables, conditional formatting, macros and Apps Script, data validation, dashboard creation, and financial modeling techniques for business analysis. Use when the user asks about…
原文の言語: 英語
Synthetic data generation covering LLM-based data creation, statistical data synthesis, privacy-preserving techniques (differential privacy, k-anonymity), tabular data generation, text augmentation, image augmentation, validation frameworks, and quality…
原文の言語: 英語
Guides expert-level vector database patterns implementation: ai-ml and database decision frameworks, production-ready patterns, and concrete templates for vector database patterns workflows. Use when the user asks about vector database patterns, vector…
原文の言語: 英語
Vector database engineering covering Pinecone, Weaviate, Qdrant, pgvector, Milvus, and Chroma selection and configuration, indexing strategies (HNSW, IVF, PQ), similarity search optimization, hybrid search, filtering, multi-tenancy, scaling patterns, and…
原文の言語: 英語
Systematic API design quality assessment evaluating REST and GraphQL APIs for consistency, usability, documentation completeness, and adherence to best practices. Use when the user asks about api design review, related techniques, best practices, or needs…
原文の言語: 英語
REST and GraphQL API design expertise covering REST maturity model, resource naming, pagination patterns, filtering and sorting, HATEOAS, versioning strategies, error response formats, rate limiting headers, and OpenAPI specification. Use when the user asks…
原文の言語: 英語
Expert guide for designing and configuring API gateways including Kong, AWS API Gateway, and cloud-native solutions. Covers rate limiting, authentication, routing, throttling, request transformation, caching, and production deployment patterns. Use when the…
原文の言語: 英語
Authentication and authorization engineering expertise covering JWT architecture, OAuth 2.0/OIDC flows, session management, RBAC/ABAC, MFA implementation, API key management, token refresh, PKCE flow, and SSO integration. Use when the user asks about auth…
原文の言語: 英語
Guides expert-level authentication patterns implementation: security and web-development decision frameworks, production-ready patterns, and concrete templates for authentication patterns workflows. Use when the user asks about authentication patterns,…
原文の言語: 英語
Guides expert-level authorization patterns implementation: security and design-patterns decision frameworks, production-ready patterns, and concrete templates for authorization patterns workflows. Use when the user asks about authorization patterns,…
原文の言語: 英語
Expert guide for designing reliable background job systems including worker architectures, queue selection, retry strategies, dead letter queues, idempotency patterns, job scheduling, and monitoring for production workloads. Use when the user asks about…
原文の言語: 英語
Guides expert-level background jobs patterns implementation: architecture and optimization decision frameworks, production-ready patterns, and concrete templates for background jobs patterns workflows. Use when the user asks about background jobs patterns,…
原文の言語: 英語
Guides expert-level caching strategies implementation: optimization and database decision frameworks, production-ready patterns, and concrete templates for caching strategies workflows. Use when the user asks about caching strategies, caching strategies…
原文の言語: 英語
Caching architecture expertise covering cache-aside, write-through, write-behind, read-through patterns, TTL strategies, cache invalidation, CDN caching, application caching, database query caching, distributed caching, and cache warming. Use when the user…
原文の言語: 英語
ClickHouse columnar OLAP expert covering table engine selection (MergeTree family), materialized views, aggregating merge trees, data sharding and replication, query optimization for analytical workloads, data ingestion patterns, and partition management for…
原文の言語: 英語
CockroachDB distributed SQL expert covering multi-region deployment, survivability goals, schema design for distributed systems, online schema changes, transaction contention management, follower reads, locality-optimized partitioning, and operational best…
原文の言語: 英語
Database schema design expertise covering normalization, denormalization strategies, indexing, query optimization, partitioning, connection pooling, migration management, multi-tenancy patterns, and read replicas. Use when the user asks about database…
原文の言語: 英語
Database schema migration expert covering zero-downtime migration strategies, schema evolution patterns, data backfill techniques, migration tooling (Flyway, Liquibase, custom), rollback planning, blue-green database deployments, large table migrations, and…
原文の言語: 英語
Guides expert-level database migration patterns implementation: database and automation decision frameworks, production-ready patterns, and concrete templates for database migration patterns workflows. Use when the user asks about database migration patterns,…
原文の言語: 英語
Database performance assessment evaluating query efficiency, indexing strategy, connection management, configuration, and scaling readiness to produce an actionable performance scorecard. Use when the user asks about database performance audit, related…
原文の言語: 英語
Amazon DynamoDB expert covering single-table design, partition key strategies, GSI and LSI patterns, capacity modes (on-demand vs provisioned), DynamoDB Streams, transactions, TTL, DAX caching, and access pattern-driven data modeling for NoSQL at scale. Use…
原文の言語: 英語
Elasticsearch design and operations expertise covering index design, mapping types, custom analyzer configuration, search query construction (bool, multi-match, function_score), aggregations, index lifecycle management, cluster sizing and architecture,…
原文の言語: 英語
Event-driven architecture expertise covering event sourcing, CQRS, message brokers (Kafka, RabbitMQ), saga patterns, eventual consistency, idempotency, event schema design, dead letter queues, and building resilient distributed systems. Use when the user asks…
原文の言語: 英語
File processing pipeline expertise covering upload handling (multipart, streaming, resumable), virus scanning, image processing, PDF generation, storage backends, presigned URLs, and file type validation. Use when the user asks about file processor, file…
原文の言語: 英語
Graph database engineering expert covering Neo4j administration and Cypher optimization, property graph modeling patterns, traversal algorithms (BFS, DFS, shortest path), graph indexing strategies, performance tuning, use case evaluation, graph data…
原文の言語: 英語
Graph database design expertise covering Neo4j and Cypher query language, property graph model, graph schema design, traversal patterns, path algorithms (shortest path, all paths), graph indexing, community detection, recommendation engines, knowledge graphs,…
原文の言語: 英語
GraphQL schema design expertise covering schema-first vs code-first, resolver patterns, DataLoader for N+1 prevention, subscriptions, federation, authentication, Relay cursor pagination, error handling, and schema evolution. Use when the user asks about…
原文の言語: 英語
Guides expert-level graphql implementation implementation: api-design and frameworks decision frameworks, production-ready patterns, and concrete templates for graphql implementation workflows. Use when the user asks about graphql implementation, graphql…
原文の言語: 英語