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Found 2,175 Skills
Development guide for @rytass/storages base package (儲存基底套件開發指南). Use when creating new storage adapters (新增儲存 adapter), understanding base interfaces, or extending storage functionality. Covers StorageInterface, Storage class, file converters (檔案轉換器), hash algorithms (雜湊演算法), and implementation patterns.
Comprehensive skill for Microsoft GraphRAG - modular graph-based RAG system for reasoning over private datasets
Comprehensive toolkit for validating, linting, testing, and automating Terragrunt configurations, HCL files, and Stacks. Use this skill when working with Terragrunt files (.hcl, terragrunt.hcl, terragrunt.stack.hcl), validating infrastructure-as-code, debugging Terragrunt configurations, performing dry-run testing with terragrunt plan, working with Terragrunt Stacks, or working with custom providers and modules.
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides JavaScript SDK examples.
Use when asking about 'purge files', 'storage pressure', 'disk space iOS', 'isExcludedFromBackup', 'URL resource values', 'volumeAvailableCapacity', 'low storage', 'file purging priority', 'cache management' - comprehensive reference for iOS storage management and URL resource value APIs
Alibaba Cloud OSS CLI (ossutil 2.0) skill. Install, configure, and operate OSS from the command line based on the official ossutil overview.
Minimal OSSUTIL 2.0 smoke tests. Validate config, list bucket, and upload/download with OSS.
Comprehensive toolkit for generating best practice Terragrunt configurations (HCL files) following current standards and conventions. Use this skill when creating new Terragrunt resources (root configs, child modules, stacks, environment setups), or building multi-environment Terragrunt projects.
Find arbitrage opportunities across exchanges by comparing prices for fungible token pairs like BTC/WBTC and USDT/USDC.
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.
Evaluates RAG (Retrieval-Augmented Generation) pipeline quality across retrieval and generation stages. Measures precision, recall, MRR for retrieval; groundedness, completeness, and hallucination rate for generation. Diagnoses failure root causes and recommends chunk, retrieval, and prompt improvements. Triggers on: "audit RAG", "RAG quality", "evaluate retrieval", "hallucination detection", "retrieval precision", "why is RAG failing", "RAG diagnosis", "retrieval quality", "RAG evaluation", "chunk quality", "RAG pipeline review", "grounding check". Use this skill when diagnosing or evaluating a RAG pipeline's quality.