Skill UI

Evolver is a comprehensive self-evolution engine designed for autonomous AI agents. It analyzes complex runtime history, identifies performance bottlenecks, and autonomously generates and applies improvements. Communication is architecturally confined to a local Proxy Mailbox, ensuring secure and reliable interaction with the EvoMap Hub for asset management and task acquisition. Ideal for developing highly adaptive, continuously improving intelligent systems.

A universal infrastructure for automatically evolving and optimizing AI agents across any domain. Using LLM-driven mutation and iterative solve-observe-evolve cycles, it enhances critical components like prompts, skills, and memory by benchmarking performance against measurable datasets, enabling the creation of self-improving AI systems.

This CLI alias serves as the primary interface for the Codex /pua:pro protocol, designed for advanced code operations within the Claude Code environment. It manages complex workflows related to self-evolution, platform telemetry monitoring, key performance indicators (KPIs), and system configuration updates, ensuring robust and consistent protocol adherence.

This skill provides an offline self-optimization cycle for local AI agents. When triggered, it harvests past interaction sessions, mines recurring tasks and patterns, and re-runs these tasks offline. It then proposes bounded edits to the agent's memory (CLAUDE.md) and skills (SKILL.md). Crucially, all changes pass through a held-out validation gate, ensuring that only improvements are adopted, thereby continuously enhancing the agent's performance for the user's specific workflow without requiring model retraining.