context-engineer-local

Enrich user prompts with relevant codebase context from the MCP codebase index server. Automatically detects task type and intensity level, then injects ranked code snippets, repo maps, recent changes, and dependency graphs. Works best with MCP server; degrades gracefully to built-in file tools when unavailable.

Enrich user prompts with relevant codebase context from the MCP codebase index server. Automatically detects task type and intensity level, then injects ranked code snippets, repo maps, recent changes, and dependency graphs. Works best with MCP server; degrades gracefully to built-in file tools when unavailable.

Strengthen a raw user prompt into an execution-ready instruction set for Amp, Claude Code, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.