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Found 2,493 Skills
Implement Corrective RAG (CRAG) with retrieval validation, fallback strategies, and self-correction. Use this skill when RAG outputs need quality guarantees and automatic error correction. Activate when: CRAG, corrective RAG, retrieval validation, fallback search, self-correcting RAG, grounded generation.
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.
Verify that a pull request or local changes fully implement the requirements described in a linked GitHub issue. Use when asked to "verify PR 123", "verify my changes", "check PR #123 coverage", "verify PR #123 against issue #42", "check local changes", or "do my changes cover issue 42". Analyzes the diff against issue requirements and reports either missing items or confirms 100% coverage.
Check Apideck connector API coverage before building integrations. Use when determining which operations a connector supports, comparing connector capabilities, or diagnosing why an API call fails with a specific connector. Teaches agents to query the Connector API for real-time coverage data.
Defragment and reorganize agent memory files: split bloated files, merge duplicates, remove stale information, and restructure the memory hierarchy. Use when memory files have grown unwieldy, contain redundancies, or need reorganization. Run periodically (weekly) or on demand.
Alibaba Cloud Tablestore Agent Storage Skill. Use for building and managing Tablestore-based knowledge bases with the `tablestore-agent-storage` Python SDK. Capabilities: - Install and configure the `tablestore-agent-storage` SDK - Create, describe and list knowledge bases (with subspace and custom metadata support) - Upload local files or import OSS documents into a knowledge base - Query document status and list documents - Perform hybrid retrieval (dense vector + full-text) with metadata filtering - Set up local directory sync scripts and scheduled tasks for automatic knowledge base updates Triggers: "知识库", "tablestore", "ots", "表格存储", "agent storage", "knowledge base", "向量检索", "文档上传", "文档导入", "知识库同步", "tablestore-agent-storage", "AgentStorageClient"
AppDrag integration. Manage Organizations. Use when the user wants to interact with AppDrag data.
[Pragmatic DDD Architecture] Guide for Authentication configuration and the `auth` Bounded Context. Use when modifying auth flows, adding social providers, configuring email templates/Resend, working with the Better Auth client/server configurations, or modifying `src/auth/` components and components dependent on session handling.
[Pragmatic DDD Architecture] Guide for the overall project architecture, Domain-Driven Design (DDD) principles, Modular Monolith (Bounded Contexts) organization, and file structure. Use when deciding where to place a new file, creating a new module, or understanding the application's layers and dependency flow.
Expert in deploying and customizing a modular RAG system with MCP protocol for AI assistants
Apply when deciding whether VTEX Master Data is the right storage for a given workload, designing JSON Schemas with v-indexed, v-cache, v-security, and v-triggers, planning entity capacity and lifecycle, or auditing existing Master Data usage. Covers when to use MD versus Catalog, OMS, VBase, or external databases, schema design best practices, indexing strategy, trigger patterns, and operational considerations. Use before creating any new Master Data entity.
Multi-backend storage layer with automatic failover between Redis, database, and memory backends. Includes circuit breakers per backend and health-aware routing for high availability.