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improve-agent

Analyzes performance data and feedback memories to generate surgical improvements for Claude Code agent definitions.

Updated Aug 23, 2026
Search Tags:#dotfiles#agent#claude-code#prompt-engineering#version-control#improve#feedback-analysis
One-click install
npx skills add https://github.com/tylern91/dotfiles --skill improve-agent-tylern91
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-agent
Source: https://github.com/tylern91/dotfiles/tree/main/claude/.claude/skills/improve-agent
Command: npx skills add https://github.com/tylern91/dotfiles --skill improve-agent-tylern91

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze performance data and feedback memories to drive targeted improvements to Claude Code agent definitions.

Core Features & Use Cases

  • Systematically analyzes baseline agent data (definitions, MEMORY.md, routing logs) to identify recurring failure modes.
  • Proposes surgical prompt improvements, memory/routing adjustments, and minimal edits to agent files to improve reliability.
  • Supports Phase 3-style validation and creates a version-control-ready improvement record for commit.

Quick Start

Run Phase 1 performance analysis for the specified agent using stored feedback memories and routing logs to identify failure modes.

Frequently Asked Questions about improve-agent

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

FAQPage Schema
How do I iteratively improve Claude Code agent definitions based on feedback?▼

You can target agent reliability issues by analyzing baseline agent data, MEMORY.md files, and routing logs to pinpoint recurring failure modes. This process proposes surgical prompt improvements and minimal edits to agent files to resolve specific reliability problems.

What is the best way to create a version-control-ready improvement record for Claude Code agents?▼

Yes, you can apply targeted edits to agent files during feedback cycles when agents show repeated correction patterns. By analyzing stored feedback memories and routing logs, the system proposes surgical prompt improvements and minimal memory adjustments to resolve the patterns.

How do I analyze routing logs to tune Claude Code agents?▼

Analyze routing logs by evaluating them alongside baseline agent definitions and MEMORY.md files to identify recurring failure modes. This evaluation drives the creation of surgical prompt improvements and routing adjustments to iteratively tune the agents.

Does this approach rewrite agent files completely or make minimal edits?▼

This approach makes surgical, minimal edits to agent files rather than executing full rewrites. It proposes targeted prompt improvements and memory adjustments to ensure version-control-ready reliability enhancements without destabilizing the existing agent definitions.

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