Claude Skills by claude-dev-suite

Image processing and optimization. Sharp (Node.js), Pillow (Python), Cloudinary, responsive images, WebP/AVIF conversion, thumbnails, and CDN-based image transformation. USE WHEN: user mentions "image resize", "thumbnail", "image optimization", "Sharp", "Pillow", "Cloudinary", "WebP", "AVIF", "image upload processing" DO NOT USE FOR: file upload handling - use `file-upload`; cloud storage - use `cloud-storage`; PDF generation - use `pdf-generation`

PDF generation and manipulation. Puppeteer/Playwright HTML-to-PDF, PDFKit, jsPDF, React-PDF, iText (Java), ReportLab (Python). Invoices, reports, and document generation. USE WHEN: user mentions "PDF", "generate PDF", "HTML to PDF", "invoice PDF", "PDFKit", "jsPDF", "Puppeteer PDF", "React-PDF", "iText", "ReportLab" DO NOT USE FOR: PDF parsing/reading - different concern; image generation - different format

Design system architecture and design tokens. Covers W3C Design Token spec, atomic design methodology, component documentation, theming, dark/light mode, and modern CSS custom property patterns. USE WHEN: user mentions "design system", "design tokens", "component library", "theming", "dark mode", "light mode", "CSS variables", "atomic design", "color palette", "token architecture", "shadcn theming", "brand tokens" DO NOT USE FOR: specific component APIs (use styling/shadcn-ui or styling/rad...

Interaction design patterns for web interfaces. Covers motion and animation timing, microinteractions, loading states, skeleton screens, optimistic UI, form UX, mobile touch targets, thumb zones, and responsive interaction patterns. USE WHEN: user mentions "animation", "transition", "loading state", "skeleton screen", "microinteraction", "form UX", "touch target", "mobile UX", "thumb zone", "optimistic UI", "perceived performance", "CLS", "reduced motion", "bottom navigation", "hamburger men...

UX visual hierarchy principles. Covers fluid typography scales, spatial layout, color contrast, cognitive load reduction, and user scanning patterns. USE WHEN: user mentions "visual hierarchy", "typography", "type scale", "color system", "cognitive load", "whitespace", "layout", "information architecture", "visual weight", "readability", "scanning pattern", "F-pattern", "progressive disclosure" DO NOT USE FOR: WCAG compliance auditing (use accessibility/wcag), Tailwind-specific utility clas...

Class-validator decorator-based validation for TypeScript. Standard in NestJS. Use when building APIs with NestJS or needing class-based validation. USE WHEN: user mentions "class-validator", "NestJS validation", "DTO validation", "decorator validation", asks about "NestJS DTOs", "ValidationPipe" DO NOT USE FOR: Zod/Yup projects (use zod/yup skills), non-decorator patterns, client-side forms (prefer Zod), non-NestJS backends

Yup schema validation library. Popular with Formik for form validation. Use when building forms with React/Formik or needing schema-based validation. USE WHEN: user mentions "Yup", "Formik validation", asks about "yup schema", "Formik setup", "form validation library" DO NOT USE FOR: Zod projects (use zod skill), NestJS/class-validator (use class-validator skill), new projects (prefer Zod)

Zod TypeScript schema validation library for runtime type checking. USE WHEN: user mentions "Zod", "schema validation", "form validation", "API validation", "type-safe validation", asks about "runtime validation", "React Hook Form validation" DO NOT USE FOR: Yup projects (use yup skill), class-validator/NestJS DTOs (use class-validator skill), PropTypes, compile-time only validation

Approximate Nearest Neighbor algorithm theory and selection. HNSW, IVF, IVF+PQ, ScaNN, DiskANN, LSH. Covers parameter effects (m, ef, nlist, nprobe), recall/latency/memory tradeoffs, exhaustive vs approximate, and when to pick which index. USE WHEN: user mentions "ANN", "HNSW", "IVF", "nearest neighbor", "ScaNN", "DiskANN", "LSH", "recall vs latency", "index type choice", "FAISS index" DO NOT USE FOR: specific DB configuration - use the respective `vector-stores/*-advanced` skill; quantizat...

ChromaDB 0.5+ advanced features. Persistent vs ephemeral clients, collection-level HNSW tuning (space, construction_ef, M), multi-tenancy via collections, metadata filtering, embedding function plugins (OpenAI, Cohere, Voyage, custom), Chroma Cloud, recall tuning, migration patterns to production stores. USE WHEN: user mentions "Chroma", "ChromaDB", "chromadb-client", "Chroma Cloud", "Chroma collection", "chroma embedding function" DO NOT USE FOR: production-scale vector stores - use `vecto...

Elasticsearch 8.15+ vector search. dense_vector with HNSW, kNN search, hybrid BM25 + kNN with RRF, reranker integration, ELSER learned-sparse, sparse_vector, int8 scalar quantization, and index performance tuning. USE WHEN: user mentions "elasticsearch vector", "dense_vector", "kNN search", "ELSER", "sparse_vector elastic", "elasticsearch RRF", "elasticsearch hybrid search" DO NOT USE FOR: classic full-text only - use Elasticsearch search skills; other vector DBs - use other `vector-stores/*`

LanceDB columnar vector database. Arrow-native storage, versioning and time-travel, merge-on-read, full-text + vector hybrid, pandas/polars integration, object-storage backing, Rust-based performance, embedding function registration, IVF_PQ and HNSW indexes. USE WHEN: user mentions "LanceDB", "Lance format", "Arrow vector store", "embedded vector DB", "pylance", "lance time travel" DO NOT USE FOR: managed vector DBs - use `vector-stores/pinecone-advanced`, `vector-stores/mongodb-atlas-vecto...

Milvus 2.4+ distributed vector database. Architecture (etcd + MinIO + Pulsar), partitions, index types (IVF_FLAT, HNSW, DiskANN, GPU_IVF_PQ), scalar field indexing, hybrid search (BM25 + vector), Zilliz Cloud managed, dynamic schema, upserts, time travel, pymilvus v2 client. USE WHEN: user mentions "Milvus", "pymilvus", "Zilliz", "DiskANN", "IVF_FLAT", "Milvus partition", "GPU vector index" DO NOT USE FOR: other vector DBs - use `vector-stores/*` siblings; general vector index theory - use ...

MongoDB Atlas Vector Search. $vectorSearch aggregation stage, index definition JSON, quantization (scalar, binary), hybrid with Atlas Search text via $rankFusion, dynamic schema benefits, sharding, Atlas Triggers for auto-embedding. USE WHEN: user mentions "Atlas Vector Search", "$vectorSearch", "MongoDB vector", "$rankFusion", "Atlas Triggers embedding", "MongoDB HNSW" DO NOT USE FOR: self-hosted vector stores - use `vector-stores/qdrant-advanced`, `vector-stores/milvus`; MongoDB without A...

Amazon OpenSearch k-NN plugin. nmslib vs faiss vs lucene engine, HNSW vs IVF + PQ, radial search, neural search with remote embedding, hybrid search (BM25 + kNN with weighted sum), OpenSearch 2.13+ features, memory estimation, sizing. Full index mapping. USE WHEN: user mentions "OpenSearch", "OpenSearch k-NN", "knn_vector", "neural search", "nmslib", "faiss engine OpenSearch", "AWS vector search" DO NOT USE FOR: other vector stores - use `vector-stores/*` siblings; Elasticsearch (proprietar...

Advanced pgvector 0.7+ on PostgreSQL. HNSW vs IVFFlat tuning, halfvec / bit / sparsevec types, binary quantization, hybrid search with pg_trgm + tsvector, parallel index builds, partitioning for multi-tenancy, replication caveats, and Supabase-specific patterns. USE WHEN: user mentions "pgvector", "postgres vector", "HNSW in postgres", "IVFFlat", "halfvec", "supabase vector", "pgvector hybrid search", "pgvector tuning" DO NOT USE FOR: non-Postgres vector DBs - use other `vector-stores/*` sk...

Pinecone advanced features. Serverless vs pods architecture, hybrid search with sparse-dense vectors, namespaces for multi-tenancy, metadata filtering performance, upsert batching limits, collections (snapshot/restore), Pinecone-integrated inference, Python SDK v5+, Assistants API. USE WHEN: user mentions "Pinecone", "Pinecone serverless", "Pinecone namespaces", "sparse-dense Pinecone", "Pinecone Assistants", "Pinecone inference" DO NOT USE FOR: other managed vector DBs - use `vector-stores...

Advanced Qdrant features. Payload indexing, scalar/binary/product quantization, named vectors (multi-vector), sparse vectors, multi-tenancy, snapshots, sharding, gRPC vs HTTP, pre- vs post-filtering, and oversampling/rescoring. USE WHEN: user mentions "Qdrant", "named vectors", "sparse vectors", "scalar quantization qdrant", "qdrant filtering", "qdrant sharding", "qdrant multi-tenant" DO NOT USE FOR: basic Qdrant upsert/query - use `ai-integration/vector-databases`; other vector DBs - use o...

Redis Stack vector search. FT.CREATE with VECTOR field, HNSW vs FLAT, hybrid with other field types, RedisVL Python library, Redis Enterprise scaling, pipelines for bulk ingest, TTL for ephemeral vectors (cache use case), Redis JSON + vectors pattern. USE WHEN: user mentions "Redis vector", "Redis Stack", "FT.CREATE", "RedisVL", "Redis HNSW", "Redis JSON vector", "semantic cache Redis" DO NOT USE FOR: other vector stores - use `vector-stores/*` siblings; embedding caching theory - use `rag/...

Vector compression techniques: scalar quantization (int8, int4), binary quantization (bit vectors + Hamming), product quantization (PQ), optimized PQ, residual quantization. Covers rescoring workflow, storage math, accuracy tradeoffs, and Faiss/Qdrant/pgvector implementations. USE WHEN: user mentions "quantization", "int8 embeddings", "binary embeddings", "product quantization", "PQ", "OPQ", "residual quantization", "Hamming distance", "compress embeddings", "rescoring" DO NOT USE FOR: Matr...

Vespa hybrid retrieval and ranking. BM25 + ANN + ColBERT late interaction in one query, ranking phases (match-phase, first-phase, second-phase, global-phase), tensor expressions, cloud vs self-hosted, schema definition (.sd files), embedding in-cluster, scale to billions. USE WHEN: user mentions "Vespa", "Vespa schema", "Vespa ranking", "vespa.ai", "tensor ranking", "Vespa hybrid", "Vespa cloud" DO NOT USE FOR: other vector stores - use `vector-stores/*` siblings; ColBERT without Vespa - us...

Advanced Weaviate 1.27+ features. Native hybrid (BM25+vector) search, modules (reranker, generative), multi-tenancy, replication, compression (PQ / BQ / SQ), async indexing, sharding, and Weaviate Cloud vs self-hosted tradeoffs. USE WHEN: user mentions "Weaviate", "hybrid BM25", "weaviate multi-tenant", "weaviate reranker", "weaviate generative", "weaviate compression", "PQ BQ SQ weaviate" DO NOT USE FOR: basic vector DB usage - use `ai-integration/vector-databases`; other stores - use othe...

Windows driver debugging end-to-end: WinDbg / WinDbg-Preview, KDNET kernel debugging setup over Ethernet/USB, Driver Verifier, Application Verifier (UMDF), bugcheck analysis with !analyze -v, common kernel commands (!process, !thread, !irp, !devstack, !wdfdevice, !wdfkd.wdfdriverinfo), live and post-mortem (kernel dumps), symbol setup, and WPP / ETW trace analysis. USE WHEN: user mentions "WinDbg", "kd", "KDNET", "kernel debugger", "Driver Verifier", "verifier.exe", "Application Verifier", "...

Windows driver signing and certification: EV (Extended Validation) code-signing certificates, Microsoft Hardware Dev Center attestation signing, WHQL/HLK certification, INF Section requirements, dual-signing, kernel driver signing policy (Win10 1607+), test signing, cross-signing legacy notes, and signtool/signability validation. USE WHEN: user mentions "driver signing", "EV cert", "attestation signing", "WHQL", "HLK", "Hardware Dev Center", "Partner Center", "signtool", "test signing", "DSE...

Windows Human Interface Device (HID) stack and filter drivers. Covers HID class architecture, transport drivers (HIDUSB / HIDBTH / HIDI2C), HIDClass, mouse/keyboard filter (Mouclass / Kbdclass) drivers, internal IOCTLs (IOCTL_HID_*), filter placement (upper/lower), event interception, injection, and the Virtual HID Framework (VHF). USE WHEN: user mentions "HID", "HID filter", "mouse filter", "keyboard filter", "touch filter", "pen filter", "HIDClass", "mouclass", "kbdclass", "moufiltr", "kbf...

Windows Indirect Display Driver (IDD) framework. UMDF v2-based driver model for adding virtual monitors that the Desktop Window Manager treats as real displays, then capturing the rendered frames in user mode and routing them somewhere else (network, file, encoder) instead of a physical panel. Covers IddCx callbacks, monitor descriptors (EDID/MCCS), swap-chain processing, cursor handling, hot-plug, hardware cursor, multi-monitor, HDR, and integration with NVENC / Rivermax / RDMA NICs for low-...

Kernel-Mode Driver Framework (KMDF), the Microsoft-recommended way to write Windows kernel-mode drivers. Covers DriverEntry, EvtDeviceAdd, IRPs and IOCTLs, I/O queues, PnP and Power state machines, IRQL discipline, memory pools, WPP tracing, SAL annotations, and Driver Verifier. USE WHEN: user mentions "KMDF", "WDF kernel", "Windows kernel driver", "DriverEntry", "WdfDriverCreate", "EvtDeviceAdd", "IRP", "IOCTL", "DISPATCH_LEVEL", "PASSIVE_LEVEL", "NTSTATUS", "PoolTag", "WdfRequestComplete" ...

User-Mode Driver Framework v2 (UMDF). User-mode driver model that uses the same WDF object model as KMDF but runs in a host process (WUDFHost.exe) protected by the reflector. Required for some categories (Indirect Display Drivers, many sensor and camera drivers) and recommended for any driver that doesn't strictly need kernel mode. USE WHEN: user mentions "UMDF", "WUDFHost", "user-mode driver", "reflector", "IDD", "ISensor", "WDFHOST", "UMDF v2", "FX2" DO NOT USE FOR: KMDF (use `wdf-kmdf`),...