pa

Name: pa
Availability: InStock
Author: jongensutrecht

Synthesize evidence-based problem analyses from web research, code inspection, and expert reasoning.

1|Updated Jan 13, 2026

Search Tags:#code analysis #debugging #root cause #agents #synthesis #problem analysis #online research

Ready to run

npx skills add https://github.com/jongensutrecht/demo-ai-stack --skill pa-jongensutrecht

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pa
Source: https://github.com/jongensutrecht/demo-ai-stack/tree/main/lars%20skills/pa
Command: npx skills add https://github.com/jongensutrecht/demo-ai-stack --skill pa-jongensutrecht

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PA helps you turn a fragmented problem into one coherent diagnosis by combining online research, local code analysis, and expert reasoning. It reduces shallow single-angle answers and makes root-cause analysis evidence-driven.

Core Features & Use Cases

Parallel triage: Runs three perspectives at once so you can compare what the web, the codebase, and domain knowledge each reveal.
Evidence synthesis: Merges findings into one report with consensus, conflicts, root cause, and recommended actions.
Use cases: Debugging a failing feature, investigating an unexpected production issue, or evaluating a technical decision that needs both implementation context and external validation.

Quick Start

Ask the PA skill to analyze your problem and synthesize the findings into one clear, evidence-based report.

Frequently Asked Questions about pa

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

FAQPage Schema

How do I find the root cause of a software bug using multiple investigation methods?▼

To perform code analysis for debugging, run parallel investigations across online research, local code inspection, and expert reasoning. This synthesizes a single evidence-based report highlighting consensus, conflicts, root cause, and next steps.

What is the best way to synthesize conflicting findings from a bug investigation?▼

Synthesizing conflicting findings from a bug investigation involves merging cited evidence from URLs and file lines into a unified report. This process identifies root cause, recommended action, and next steps from multiple expert perspectives.

Can I use parallel agents for online research and local code inspection?▼

Yes, using parallel agents for online research and local code inspection provides mandatory three-agent coverage. This approach evaluates multiple perspectives simultaneously, producing a comprehensive problem analysis with cited evidence.

Does evidence-based problem analysis work for evaluating technical architecture questions?▼

Evidence-based problem analysis works for technical architecture questions by combining online research, local code inspection, and expert reasoning. It merges implementation context with external validation to resolve complex software issues.

When should I not use a multi-agent approach for problem analysis?▼

Avoid multi-agent problem analysis for simple, single-angle issues that do not require multiple perspectives or external validation. This method is intended for fragmented problems requiring deep root-cause analysis and evidence synthesis.