---
name: GPTPro Export
slug: gptpro-export
category: AI Engineering
description: Package a monorepo into clean, subsystem-split zip bundles for non-agentic LLMs like GPT Pro. Ideal for external code review, architecture audits, or feedback from models with bounded context.
github: "https://github.com/avenoxai/avenoxskills/tree/main/skills/gptpro"
language: Shell
stars: 37
forks: 1
install: "npx degit https://github.com/avenoxai/avenoxskills/tree/main/skills/gptpro ~/.claude/skills/gptpro"
installs_to: ~/.claude/skills/gptpro
source_path: skills/gptpro/SKILL.md
collection_size: 10
category_size: 2451
collection_url: "https://dirskills.com/collections/avenoxai/avenoxskills"
added: 2026-08-11T07:21:42.983Z
last_synced: 2026-08-11T07:21:42.983Z
canonical_url: "https://dirskills.com/skills/gptpro-export"
---

# GPTPro Export

Package a monorepo into clean, subsystem-split zip bundles for non-agentic LLMs like GPT Pro. Ideal for external code review, architecture audits, or feedback from models with bounded context.

**Install:**

```bash
npx degit https://github.com/avenoxai/avenoxskills/tree/main/skills/gptpro ~/.claude/skills/gptpro
```

## README

# GPTPro Export

Package a monorepo into clean, logically-split zip bundles for review by a
**powerful non-agentic model** — GPT Pro on the ChatGPT web UI, or any chat
model you upload files to.

That model has no shell, no live filesystem, and a bounded context. So we split
by subsystem and strip `node_modules`, build output, binary assets, and secrets
— giving it something it can actually navigate instead of a 400MB tarball it
will choke on.

## Run it with no config

```bash
PROJECT_ROOT=/path/to/repo ./scripts/export.sh
```

With no `bundles.conf`, the script autodetects: one bundle per workspace package
(`apps/*`, `packages/*`, `services/*`, `libs/*`), a schema-only `db` bundle from
whatever migrations directory exists, and a `docs` bundle. A single-package repo
gets one `src` bundle instead of the workspace walk.

That gets you a usable split on the first run. A hand-written config gets you a
*good* one — the model navigates by asking "which bundle would this live in", so
a split that matches your architecture is worth writing.

## Configure

Bundles are defined in `bundles.conf`, which overrides autodetect entirely.
Copy the example and edit:

```bash
cp bundles.example.conf bundles.conf
```

Each line declares one bundle:

```bash
define_bundle <name> "<description>" <source>...
```

Sources are `dir:<path>` or `file:<path>[:<subdir>]`, relative to the repo root:

```bash
define_bundle core "domain logic — the most important bundle for architecture review" \
  dir:packages/core

define_bundle db "schema architecture only — no rows, no seed data" \
  dir:supabase/migrations \
  file:supabase/config.toml:supabase \
  file:docs/DB_PLAN.md

define_bundle docs "architecture and convention context" \
  dir:docs dir:adrs file:README.md file:AGENTS.md
```

## Run

```bash
./scripts/export.sh
```

Overrides:

```bash
PROJECT_ROOT=/path/to/repo \
OUTPUT_DIR=~/Desktop/review-bundles \
BUNDLE_PREFIX=myproject \
./scripts/export.sh
```

| Variable | Default | Meaning |
|---|---|---|
| `PROJECT_ROOT` | `$PWD` | repo to export |
| `OUTPUT_DIR` | `./gptpro-bundles` | where zips land (upload folder) |
| `BUNDLE_PREFIX` | repo dir name | zip name prefix → `<prefix>-core.zip` |
| `BUNDLES_CONF` | `bundles.conf` next to the script | bundle definitions; autodetect if absent |
| `ALLOW_SECRETS` | `0` | `1` continues past a hard secret-scan hit |

## What gets excluded

Every bundle drops: `.git`, `node_modules`, `.next`, `.turbo`, `dist`, `build`,
`out`, `coverage`, `.vercel`, `*.tsbuildinfo`, `.env`, `.env.*`, `*.log`,
`.DS_Store`, and binary assets (images, video, fonts).

**Tests are kept on purpose** — they encode contracts and are some of the most
useful review material in the repo.

## Secret scan

After staging and before zipping, every bundle is scanned. Two tiers, because a
one-tier scan on a real repo is *all* false positives and you end up passing
`ALLOW_SECRETS=1` every run — which is the same as having no scan:

- **HARD** — provider-issued credential shapes: private key headers, `AKIA…`,
  `ghp_…`, `github_pat_…`, `xox…`, `AIza…`, long `sk-…`/`sk-ant-…`, JWTs.
  A hit **aborts the export**, file and line printed. Override with
  `ALLOW_SECRETS=1` only after reading every hit.
- **SOFT** — generic `secret = "…"` / `password: "…"` assignments. Printed for
  your eyes, never fatal.

Hits under `test/`, `__tests__/`, `fixtures/`, `*.test.*`, or carrying an obvious
placeholder marker (`FAKE`, `EXAMPLE`, `xxxxxxxx`, `env(…)`) are demoted to SOFT
— a secret-handling test suite is *supposed* to contain credential-shaped
strings, and aborting on those trains you to ignore the guard.

## Notes

- **Split by subsystem, not by size.** The model navigates by asking "which
  bundle would this live in" — a split that matches your architecture is worth
  more than evenly-sized zips.
- **Database bundles should be architectural, not data.** Ship the schema map
  and forward-only migrations so the model can see *how the database is
  constructed*; never ship rows or seed data.
- The output directory is wiped of prior `*.zip` on each run, so re-running
  gives a clean set with no stale bundles.
- Keep one bundle for docs/ADRs/conventions. Models reason much better about a
  codebase when they can read why it's shaped the way it is.

Pairs with **`gptpro-handoff`** — the workflow skill for authoring the prompt,
receiving the report, and verifying findings before implementing.