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Found 2,493 Skills
Semantic skill discovery and routing using GraphRAG, vector embeddings, and multi-tool search. Automatically matches user intent to the most relevant skills from 144+ available options using ck semantic search, LEANN RAG, and knowledge graph relationships. Triggers on /meta queries, complex multi-domain tasks, explicit skill requests, or when task complexity exceeds threshold (files>20, domains>2, complexity>=0.7).
Write systems code in the style of Linus Torvalds, creator of Linux and Git. Emphasizes pragmatic excellence, performance awareness, subsystem design, and uncompromising code review. Use when writing kernel-level code or high-performance systems.
Use when "RAG", "retrieval augmented generation", "LangChain", "LlamaIndex", "sentence transformers", "embeddings", "document QA", "chatbot with documents", "semantic search"
RAG, embedding, vector search를 통해 사내/최신 데이터를 LLM 응답에 연결하는 방법과 선택 기준을 다루는 모듈.
Provides comprehensive guidance for Azure Storage including blob storage, file shares, queues, and storage account management. Use when the user asks about Azure Storage, needs to store data in Azure, configure Azure Storage, or work with Azure storage services.
Choose and implement effector-storage persistence patterns for Effector apps. Use when tasks involve persist/createPersist usage, selecting adapters (local/session/query/broadcast/storage/asyncStorage/memory/nil/log), configuring clock/pickup/context/keyPrefix, validating data with contracts, handling done/fail/finally flows, SSR-safe adapter fallback with either, or debugging sync and serialization issues.
Check and configure code coverage thresholds and reporting
Reading and writing data with Pandas from/to cloud storage (S3, GCS, Azure) using fsspec and PyArrow filesystems.
Minimal OSSUTIL 2.0 smoke tests. Validate config, list bucket, and upload/download with OSS.
Define the structure and organization of storage functions within a project.
Combinatorial testing with a greedy pairwise matrix generator. Covers all factor pairs in near-minimal test cases.
Test coverage-focused code review. Apply when reviewing code for missing unit tests, integration tests, edge cases, error handling paths, test quality, and test maintainability.