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junghan0611
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improve-agent

Analyze pi session files to identify recurring agent issues and propose fixes.

6|Updated Nov 14, 2025
Search Tags:#automation#documentation#skills#patterns#infrastructure#analyze#agent-workflow
One-click install
npx skills add https://github.com/junghan0611/agent-config --skill improve-agent-junghan0611
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-agent
Source: https://github.com/junghan0611/agent-config/tree/main/skills/improve-agent
Command: npx skills add https://github.com/junghan0611/agent-config --skill improve-agent-junghan0611

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze past pi session files to identify recurring agent issues and fix them via AGENTS.md updates, new skills, or infrastructure changes.

Core Features & Use Cases

  • Identify recurring patterns across sessions and surface root causes.
  • Update AGENTS.md, scaffold new skills, or implement infrastructure fixes.
  • Enable multi-project analysis to uncover cross-cutting improvements.

Quick Start

Ask the agent to analyze recent pi sessions and generate an AGENTS.md update or a new skill.

Frequently Asked Questions about improve-agent

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

FAQPage Schema
How do I identify recurring agent workflow bottlenecks from session data?▼

You can analyze past pi session files to identify recurring agent issues and surface root causes. It evaluates session data to pinpoint recurring failure patterns and propose actionable improvements for your workflows.

What is the best way to update AGENTS.md based on past agent session failures?▼

Analyzing session data for recurring failure patterns is the best way to generate targeted AGENTS.md updates. This surfaces root causes from past sessions and proposes actionable infrastructure fixes or workflow improvements.

Can I analyze multi-project session files to uncover cross-cutting workflow improvements?▼

Yes, multi-project analysis enables you to uncover cross-cutting improvements by identifying recurring failure patterns across different contexts. You can then propose unified AGENTS.md updates, new skills, or infrastructure fixes.

How do I scaffold new skills to fix recurring agent failure patterns?▼

To scaffold new skills, analyze session data to identify recurring failure patterns and workflow bottlenecks, then use the proposed actionable improvements to define the new skill's operational requirements and outcomes.

When should I use session analysis for infrastructure fixes instead of manual code reviews?▼

Use session analysis when you need to identify recurring failure patterns and workflow bottlenecks across past sessions. It surfaces root causes from operational data to propose actionable infrastructure fixes, complementing manual code reviews.

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