backend-rag-implementation
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
461 skills found
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.
Transform passive learning content like transcripts and tutorials into actionable Ship-Learn-Next cycles with concrete implementation plans and progress-oriented quests.
Search and query TikHub social media APIs for TikTok, Douyin, Xiaohongshu, Instagram, YouTube, and more to fetch cross-platform data.
Standardize frontend communication by documenting data requirements and business rules for backend developers, ensuring clear alignment without dictating implementation details.
Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.
Resume a paused experimental loop by restoring branch context, loading configuration, reading history, and identifying optimization patterns for continued iteration.
Read, write, and manage Feishu (Lark) cloud documents. Supports markdown, block manipulation, tables, and media attachments.
Deep requirement analysis and documentation skill. Uncover root needs, map stakeholders, resolve conflicts, and define testable specifications with acceptance criteria for software projects.
Create, edit, and manage JSON Canvas (.canvas) files for visual note-taking, mind mapping, and flowcharts in Obsidian.
Standardized Swift coding conventions, naming rules, and idiomatic patterns for clean, maintainable, and readable iOS/macOS development.
A stage-driven AI writing agent for structured, repeatable, and reversible long-form content production with human-in-the-loop workflows.