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Found 1,568 Skills
Kubernetes storage management for PVCs, storage classes, and persistent volumes. Use when provisioning storage, managing volumes, or troubleshooting storage issues.
Build Retrieval-Augmented Generation systems with vector databases
Software craftsmanship principles from The Pragmatic Programmer. Use this skill when discussing best practices, debugging strategies, career development, or pragmatic approaches to software development. Auto-activates for DRY violations, debugging sessions, and development workflow improvements.
Diagnose ClickHouse disk usage, compression efficiency, part sizes, and storage bottlenecks. Use for disk space issues and slow IO.
This skill should be used when the user asks to "build a RAG pipeline", "create retrieval augmented generation", "use ColBERTv2 in DSPy", "set up a retriever in DSPy", mentions "RAG with DSPy", "context retrieval", "multi-hop RAG", or needs to build a DSPy system that retrieves external knowledge to answer questions with grounded, factual responses.
Expand unit test coverage by targeting untested branches and edge cases. Use when users ask to "increase test coverage", "add more tests", "expand unit tests", "cover edge cases", "improve test coverage", or want to identify and fill gaps in existing test suites. Adapts to project's testing framework.
Handles MMKV storage operations and data persistence patterns with encryption. Use when implementing data persistence, caching, or user preferences in Fitness Tracker App.
CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval.
Audit test coverage for code changes. Identifies untested logic and provides specific test recommendations. Read-only analysis. Use before PR or after implementation. Triggers: review coverage, check tests, test coverage, are tests adequate.
Check which Rust lines are not covered by Rust tests.
Generate a visual spec-to-code coverage map showing which code files are covered by which specifications. Creates ASCII diagrams, reverse indexes, and coverage statistics. Use after implementation or during cleanup to validate spec coverage.
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.