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.
516 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.
Implements Manus-style persistent markdown planning for complex workflows, project tracking, and research management to optimize agent attention and memory.
Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.
Monitor and manage margin-living strategy by tracking balances, interest costs, and coverage ratios. Provides automated scaling recommendations and safety alerts based on portfolio-to-margin thresholds.
A security scanner for Claude Skills to detect malicious code, data exfiltration risks, and unauthorized system access before installation.
Manage Jules (Google's async AI coding agent) directly from your terminal. Create, monitor, and interact with Jules coding sessions, approve plans, and handle feedback loops across repositories.
Automated ESLint executor for static analysis, code quality enforcement, and safe auto-fixing of JavaScript and TypeScript projects.
Control macOS cmux terminal topology, workspaces, and pane layouts via CLI. Ideal for AI coding agents requiring deterministic multi-pane navigation, surface routing, and attention cues.
Creates professional, editable PowerPoint (.pptx) presentations with AI-generated full-slide images, brand consistency, and style references.
Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.
Pre-implementation confidence assessment tool for developers. Ensures 90%+ readiness via duplicate checks, architecture compliance, official docs verification, and root cause analysis.
Search, discover, install, update, and manage skills for AI coding agents. Centralized interface for ecosystem-wide skill discovery and local organization.