As Promised: The Corpus Analysis Meta Prompt We Discussed This Week

As promised during this week’s coaching call, and at the request of several participants, I’ve published the meta prompt we discussed as a GitHub Gist.

The goal is to turn a frontier reasoning model like Claude Fable into a strategic analyst instead of just a coding assistant. Rather than focusing on a single project, it analyzes an entire development corpus, mines previous AI sessions and memory, reconstructs intent across projects, identifies hidden opportunities, and identifies the handful of problems that are actually worth spending frontier-model tokens on.

If you’re juggling multiple AI projects, agent frameworks, research initiatives, or a growing codebase, I think you’ll find it useful, or at the very least it’ll give you ideas for building your own version.

All values in <%YOUR VALUE HERE%> need to be replaced by your real information.

!!! WARNING I altered the prompt to target 'high' or 'xhigh' Effort in order to try to contain the token usage, but when I ran it, I ran it on UltraCode. ONLY do that if you are ready to spend an entire 5-hour reset limit on a single prompt run. On UltraCode this is insanely token hungry WARNING!!!

GitHub Gist: https://gist.github.com/hopchouinard/60d4d6e0d477e22d344ef75489fb2149

If you improve it or adapt it to another model, I’d genuinely be interested in seeing where you take it. The prompt is only half the idea. The methodology behind it is what I hope proves useful over time.

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As Promised: The Corpus Analysis Meta Prompt We Discussed This Week