By github
Migrate embedding models in Qdrant with zero-downtime alias swap and side-by-side strategies. Covers when re-embedding is required and how to avoid it, enabling seamless model upgrades without service disruption.
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npx claudepluginhub simplycubed/skills --plugin qdrant-model-migrationVisual whiteboard collaboration — opens an interactive whiteboard in your browser, Copilot sees your drawings and responds. NOTE: Copilot CLI only — this plugin uses Copilot CLI plugin structure (.github/plugin/plugin.json) which Claude Code does not discover.
Scaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in.NET solutions. Creates the test project, transaction-rollback base class, and seed data manager. Use when setting up test infrastructure before writing migration integration tests, or…
Review and refactor code in your project according to defined instructions
Use when: comparing SQL Server tables across instances, data migration validation, ETL verification, row mismatch detection, schema drift, reconciliation report, production vs staging comparison. Uses mssql-python driver with Apache Arrow for fast columnar data transfer and comparison.
Full STRIDE-A threat model analysis and incremental update skill for repositories and systems. Supports two modes: (1) Single analysis — full STRIDE-A threat model of a repository, producing architecture overviews, DFD diagrams, STRIDE-A analysis, prioritized findings, and executive assessments.…
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, edge, model migration, multitenancy, version upgrades, and SDK usage
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Scans your codebase for AI API calls and generates a migration plan showing exactly where and how to replace expensive LLM calls with task-specific SLMs — up to 95% cheaper — then optimizes your ScaleDown prompts against your own sample data with a reproducible eval. Supports OpenAI, Anthropic, LangChain, LlamaIndex, Cohere, Vercel AI SDK, and more. No data from your codebase is ever sent to ScaleDown servers when running this plugin.
Manage vector embeddings and similarity search
Cloudflare Vectorize vector database for semantic search and RAG. Use for vector indexes, embeddings, similarity search, or encountering dimension mismatches, filter errors.