pa-doctor

Diagnose multi-service agent systems and generate health reports.

4|Updated Dec 7, 2025
One-click install
npx skills add https://github.com/grigb/gas-prompt-library --skill pa-doctor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pa-doctor
Source: https://github.com/grigb/gas-prompt-library/tree/main/agents/agent-pa-doctor
Command: npx skills add https://github.com/grigb/gas-prompt-library --skill pa-doctor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the degradation of AI agent performance, architectural drift, and lack of continuity in complex, long-running agentic systems by providing a rigorous diagnostic and maintenance framework.

Core Features & Use Cases

  • System Diagnostics: Executes automated health checks on runtime, gateway, and dashboard services to identify bottlenecks or failures.
  • Vision Stewardship: Ensures the agent's operational reality remains aligned with the owner's long-term strategic vision through structured context management.
  • Proactive Maintenance: Tracks vitals, logs session history, and manages a treatment tracker to resolve recurring system conditions before they impact performance.

Quick Start

Invoke the pa-doctor skill to run a full system diagnostic and generate a health report for your current agent environment.

Frequently Asked Questions about pa-doctor

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

FAQPage Schema
How do I diagnose AI agent performance degradation in a multi-service environment?

To diagnose AI agent performance degradation, run automated health checks on runtime, gateway, and dashboard services to identify bottlenecks or failures. This process collects system vitals to pinpoint architectural drift in complex, long-running agentic systems.

What is architectural drift in personal agent systems and when should I check for it?

Architectural drift occurs when an agent's operational reality diverges from the owner's long-term strategic vision. You should check for it through structured context management when complex personal agent systems experience a lack of continuity over long-running sessions.

How do I perform proactive maintenance on a complex personal agent?

Proactive maintenance involves tracking system vitals, logging session history, and managing a treatment tracker. This resolves recurring system conditions before they impact performance, ensuring alignment across multi-service environments.

Do I need local system logs and a knowledge base to run agent health checks?

Yes, agent health checks require access to local system logs, process management tools, and a structured knowledge base of architectural baselines. These dependencies are necessary to execute automated vitals collection and generate a health report.

What's the best way to align long-running agent behavior with strategic goals?

The best way to align agent behavior with strategic goals is vision stewardship, which uses structured context management. It ensures the operational reality of complex personal agent systems remains aligned with owner-defined strategic objectives over time.

Why does my personal agent lack continuity during long-running automated sessions?

Your personal agent lacks continuity due to the degradation of AI agent performance and architectural drift. A rigorous diagnostic and maintenance framework resolves this by tracking vitals and managing session history across multi-service environments.