Optimization AI Agent Skills

Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)

A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna. The Optuna MCP Server can be used in the following use cases, for example. - Automated hyperparameter optimization by LLMs - Interactive analysis of Optuna's optimization results via chat interface - Optimize input and output of other MCP tools For details, see the Examples section. The Optuna MCP server c

Profiles hot paths, spots N+1 queries, suggests caching layers, and fixes render bottlenecks. Use when a page or endpoint is slow and root cause is unknown.

Coordinate multiple sub-agents to profile and optimize a codebase. Runs performance-engineer, then architect, then refactorer in sequence.