rag-implementation
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
466 skills found
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Generate structured development plans, checklists, and file contexts compatible with the IntelliJ coding-aider plugin.
A structured guide for novelists to navigate the seven-step writing process, from constitution and specification to planning, tasking, drafting, and quality analysis.
Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.
Build $50k-grade frontend interfaces with production-ready code, professional typography, and high-fidelity image integration.
Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
A Test-Driven Development (TDD) framework for writing agent skills, using pressure scenarios to ensure documentation guides agent behavior effectively.
Audit and optimize SwiftUI runtime performance. Diagnose slow rendering, janky scrolling, high resource usage, and layout thrash with code review, architecture analysis, and Instruments profiling guidance.
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Optimize budget vs. actual reporting, P&L commentary, and forecast reconciliation.
Automate the generation of high-quality, HiDPI marketing screenshots for web applications using Playwright.
Create a comprehensive product strategy using the 9-section Product Strategy Canvas to define your vision, segments, value propositions, and defensibility.