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> AI performance optimization skills to profile applications, find bottlenecks, and recommend targeted speed and scalability improvements.
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching.
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardwar...
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware.
Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn.
Production pipeline for ASCII art video — any format.
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines...
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagina...
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with use...
PostgreSQL database patterns for query optimization, schema design, indexing, and security.
Frontend development patterns for React, Next.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and pr...
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with serv...
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance...
Investigate `pnpm test` memory growth, Vitest worker OOMs, and suspicious RSS increases in OpenClaw using the `script...