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.
520 skills found
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
Pre-implementation confidence assessment tool for developers. Ensures 90%+ readiness via duplicate checks, architecture compliance, official docs verification, and root cause analysis.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).
Crawl websites to extract content as clean markdown files. Ideal for documentation, research, and offline knowledge management.
Toolkit for testing local web applications using Playwright, featuring server lifecycle management, automated DOM inspection, and browser automation workflows.
Evidence-based code review using Sherlock Holmes-style deductive reasoning to verify implementation claims, investigate bugs, and conduct root cause analysis.
Convert PRDs, API docs, and requirements into structured acceptance, testing, integration, and launch checklists.
Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.
Build $50k-grade frontend interfaces with production-ready code, professional typography, and high-fidelity image integration.
Find, review, and remove duplicate or near-duplicate images in FiftyOne datasets using computer vision similarity embeddings.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.