evolver

Analyze dialogue history to identify capability gaps and generate new skills.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/chenzhu007/wework-mail-downloader --skill evolver-chenzhu007
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evolver
Source: https://github.com/chenzhu007/wework-mail-downloader/tree/main/.trae/skills/evolver
Command: npx skills add https://github.com/chenzhu007/wework-mail-downloader --skill evolver-chenzhu007

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evolver automates AI self-improvement by analyzing dialogue history to identify capability gaps and automatically generate new skills to fill them.

Core Features & Use Cases

  • Analysis of conversation history to reveal task-frequency, quality gaps, user corrections, failures, and success patterns.
  • Automatic skill design and generation for identified gaps, with guidelines for triggers, workflows, and evaluation.
  • End-to-end evolution workflow including validation, testing, and integration with existing skill libraries.

Quick Start

Tell Evolver to analyze your conversation history, identify gaps, and generate new skills to fill them.

Frequently Asked Questions about evolver

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI self-improvement by analyzing conversation history?

AI self-improvement through conversation history analysis is automated by identifying task-frequency patterns, user corrections, and capability gaps to generate new skills that fill those specific shortcomings.

How does automatic skill generation work for chat-based workflows?

Automatic skill generation for chat-based workflows works by examining dialogue history to detect quality gaps and failures, then designing structured skills with defined triggers, workflows, and evaluation guidelines.

Can I use automated skill generation across existing knowledge bases?

Yes, automated skill generation integrates with existing skill libraries and knowledge bases. The framework validates, tests, and incorporates newly generated skills to improve reasoning and task automation.

What is the best way to identify AI capability gaps from repetitive task failures?

The best way to identify AI capability gaps from repetitive task failures is to analyze dialogue history for success patterns and user corrections, automatically generating targeted skills to resolve them.

Does the generated skill framework include evaluation and testing guidelines?

Yes, the generated skill framework includes evaluation and testing guidelines. It ensures structured skill design by embedding frontmatter metadata, core workflows, and integration instructions for validation.