Search and filter by type across the catalog
1,629 results in CLAUDE.md / Rules, Memory, Skills · page 38 of 68
Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns.
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node_essentials and get_node_info, or learning common configuration patterns by node type.
Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, or the validation loop process.
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.
Neon database context statusline showing project name, active branch, compute state, and autoscaling CU range. Uses only Neon REST API (no SQL connections needed). Helps avoid mistakes like running migrations on the wrong branch. Setup: Export NEON_API_KEY and NEON_PROJECT_ID as environment variables, or add them to your project's .env file. Get your API key from console.neon.tech and project ID from your Neon dashboard.
Development-focused Neon monitor showing connection status, response time, and database activity. Perfect for daily development work. Setup: Add variables to your project's .env file or export them: NEON_ENDPOINT, NEON_DATABASE, NEON_API_KEY, and NEON_PROJECT_ID. Shows connection state, response time, pool status, compute usage, environment detection, and project info for development workflow.
Resource-focused Neon monitor showing storage usage, compute consumption, and cost tracking. Perfect for monitoring resource usage and billing. Setup: Add variables to your project's .env file or export them: NEON_ENDPOINT, NEON_DATABASE, NEON_API_KEY, and NEON_PROJECT_ID. Shows storage usage, compute hours, estimated costs, activity metrics, and resource consumption tracking.
Instantly provision production-ready Postgres databases with Neon Instagres. Use when setting up databases, when users mention PostgreSQL/Postgres, database setup, or need a development database. Works with Drizzle, Prisma, raw SQL.
Nest.js framework expert specializing in module architecture, dependency injection, middleware, guards, interceptors, testing with Jest/Supertest, TypeORM/Mongoose integration, and Passport.js authentication. Use PROACTIVELY for any Nest.js application issues including architecture decisions, testing strategies, performance optimization, or debugging complex dependency injection problems. If a specialized expert is a better fit, I will recommend switching and stop.