Results for “best-practices”

MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Best practices for documenting APIs and code interfaces, eliminating redundant documentation guidance per agent.

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

Comprehensive guide to rag. Master the concepts, implementation, best practices, and real-world applications of rag in professional environments.

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns, improve skill, skill audit. NOT for general coding advice, slash commands, MCP development, or non-skill Claude Code features.

Provides design patterns and architectural approaches for implementing compilers, including optimization, debugging, and best practices.

Research a skill domain before building or improving a skill. Searches academic papers, practitioner blogs, and GitHub skill repos in parallel to find current best practices, domain gotchas, and existing skill patterns. Called by universal-skill-creator and improve-skills before writing any skill. Also load directly when the user asks to research a domain for a skill, find existing skills on a topic, discover best practices for a skill, check what research exists before building an agent skill, or says "what does current research say about", "find best practices for".

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

Curating cross-agent knowledge and institutional memory: extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices. Use for memory curation.

High-performance numerical computing with JAX, covering functional transformations, Flax NNX, and best practices for ML research.

Guides users through creating effective Agent Skills for Cursor, covering skill structure, best practices, and SKILL.md format.

Bundles a prompt with selected files into a one-shot request for another model, supporting API and browser engines with session reattachment.

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

Reference for building Tavily-powered search, extraction, crawling, and research into agentic workflows and RAG systems.

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

Provides guidance on using PyTorch for deep learning, covering tensors, autograd, nn.Module, DataLoaders, and best practices.

Instruments LLM applications with Langfuse for tracing, observability, and evaluation, covering setup, OpenAI and LangChain integrations, and best practices.

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.

Create platform-optimized graphics for maximum engagement. Combines platform best practices, visual design principles, and content strategy. Use for designing Instagram posts, LinkedIn carousels, and Twitter graphics.

Create or update Cursor agent skills (SKILL.md). Use when authoring a new skill, updating an existing skill, or asking about SKILL.md structure and best practices.

Creates or modifies OpenAI Agents SDK tools with Zod parameters, caching, metrics, and agent registration, following established patterns and best practices.

Explains dense vector embeddings, their key concepts, common use cases, and best practices for semantic search and RAG applications.

Creates and maintains minimal, high-signal AGENTS.md files for AI coding agents, enforcing research-backed best practices for concise agent documentation.

Design n8n AI agents with best practices for node selection, sub-node wiring, tool design, structured output, and memory management.

Provides guidance on using Anthropic's Claude API, covering message formats, context windows, tool use, and best practices for building conversational AI applications.