basic-usage
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
148 skills found
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.
Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.
Implement Linkerd service mesh patterns for security, traffic policy management, and zero-trust networking in Kubernetes environments.
Production-grade testing strategy implementing feature flags, canary releases, synthetic monitoring, and chaos engineering for continuous reliability in live environments.
Emergency recovery suite for Vercel-hosted projects. Manage deployment rollbacks, database migration reverts, cache invalidation, and health verification workflows.
Manage Fly.io edge infrastructure: deploy apps, scale machines, configure volumes, secrets, and networking via the Fly.io Machines API. Python-based, zero-dependency.
Design and implement robust, scalable event stores for event-sourced systems, covering architectural patterns, technology selection, and persistence strategies.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Advanced workflow orchestration for AI agents, featuring multi-model routing, Codex sandbox iteration, parallel swarm execution, and persistent memory across complex pipelines.
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.
Guidance on frontend state management, including global stores like Zustand/Pinia, server state via TanStack Query, and URL state handling.
Generate professional pull request descriptions using Grey Haven Studio standards, ensuring clear summaries, motivation, technical implementation details, and testing strategies.