skyaara /
suitecut
Build narrated product videos directly from Playwright tests
A new way for AI to search for data
8GitHub stars
What XERJ indexed
Selected work
“Add reproducible performance benchmarks and remove GitHub Actions”. 8 files, 510 lines in scripts, src, tests.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-21. 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
Example questions
- Where does suitecut handle “Add reproducible performance benchmarks and remove GitHub Actions”?
The prompt
Paste it into your AI agent. It clones skyaara/suitecut at the pinned commit and indexes it on your machine.
Search the GitHub repository skyaara/suitecut with XERJ (https://hub.xerj.org/corpus/skyaara--suitecut). 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/skyaara/suitecut suitecut && git -C suitecut checkout 439ce2e949feba3fe5dc4d1fee77ff9f5cb26b62 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./suitecut --url http://127.0.0.1:9200 --prefix suitecut --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
Aakash ReddyAPI design and specification corpora
Selected work and consent: the XERJ registry.