reelfold

Open-source creator workbench: turn footage or notes into batches of videos, captions and covers for every platform. Local editing on…

A new way for AI to search for data
View on GitHub
3GitHub stars

Python, TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit aabcc58065 (2026-10-23).

Selected work

Wendy Yun
@zyziyun

“delete a series and its generated files”. 6 files, 204 lines in apps/desk.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

ai-videobatch-processingclaude-codeclaude-skillcontent-creationdouyinelectronffmpeg

Example questions

The prompt

Paste it into your AI agent. It clones zyziyun/reelfold at the pinned commit and indexes it on your machine.

Search the GitHub repository zyziyun/reelfold with XERJ (https://hub.xerj.org/corpus/zyziyun--reelfold).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/zyziyun/reelfold reelfold && git -C reelfold checkout aabcc58065eceb8e1cda8c829e131da9d7bfe7ab
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./reelfold --url http://127.0.0.1:9200 --prefix reelfold --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.