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1mike-af/va

11Audience · generalComplexity · 1/5Setup · easy

TLDR

A copy-paste AI prompt that turns ChatGPT or Claude into a Veterans Affairs disability claims research assistant, surfacing relevant law, regulations, court precedents, and medical research to build the strongest possible service-connection case.

Mindmap

mindmap
  root((va claims prompt))
    What it does
      Service connection research
      Legal memo output
      Filing strategy
    Research categories
      Federal statutes
      Court case precedents
      VA internal guidance
      Medical research
    Nexus theories
      Direct connection
      Secondary connection
      Presumptive connection
    Audience
      Veterans filing claims
      Attorneys and advocates
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Code map

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Things people build with this

USE CASE 1

Paste the prompt into Claude or ChatGPT with a veteran's condition details to get a structured research memo on the best service-connection strategy.

USE CASE 2

Use the generated case analysis to identify which nexus theory, direct, secondary, or presumptive, is strongest for a specific VA claim.

USE CASE 3

Find relevant Board of Veterans Appeals decisions and Court of Appeals case precedents to support a VA claim or appeal.

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository contains a single, detailed prompt that you can paste into an AI assistant (like ChatGPT or Claude) to get it to behave as a Veterans Affairs disability claims research analyst. The prompt instructs the AI to act as an expert in veterans law and help build the strongest possible case for a VA disability claim or appeal. When you use this prompt, the AI is instructed to research and explain seven categories of material: the federal statutes that govern VA disability law (Title 38 of the US Code), the federal regulations that control how claims are rated and adjudicated, binding court cases from the Court of Appeals for Veterans Claims and the Federal Circuit, VA internal guidance documents like the M21-1 adjudication manual, Board of Veterans Appeals decisions (which are non-binding but reveal patterns), published medical research on how service-related conditions develop, and best practices used by veterans law attorneys and accredited claims agents. The output the prompt targets is structured like a legal research memorandum. It asks the AI to lay out all possible paths to service connection (direct, secondary, presumptive, toxic exposure, and others), rank them by likelihood of success, cite relevant case law, explain the medical mechanism linking a condition to military service, and then produce a step-by-step filing strategy. The repository is essentially a single text file. There is no code, no application, and no setup required. You copy the prompt, paste it into an AI tool along with the specific details of a veteran's situation, and the AI generates a research report. It is aimed at veterans filing claims on their own, attorneys preparing appeals, or advocates helping veterans build their cases.

Copy-paste prompts

Prompt 1
Using the VA claims research prompt from 1mike-af/va, build a service connection argument for [condition] caused by [military service event] and rank all viable nexus theories by likelihood of success.
Prompt 2
I have a VA denial letter citing [specific reason]. Using the 1mike-af prompt framework, what case law and regulations should I cite in my Notice of Disagreement?
Prompt 3
Walk me through the difference between direct service connection and secondary service connection for VA disability purposes, and which one fits my situation: [details].
Prompt 4
Using the 1mike-af/va prompt approach, generate a step-by-step filing strategy for a veteran with [condition] who served in [era or location].
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