moonwho101 /

DungeonStompThreejs

Dungeon Stomp Three.js

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 79ff3063c0.

Selected work

moonwho101
@moonwho101

“Dungeon Stomp Three.js”. 7 files, 536 lines in verification.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-11-02. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

dungeon-crawlergame-developmentjavascriptthreejswebglproceduralprocedural-generation

Example questions

The prompt

Paste it into your AI agent. It clones moonwho101/DungeonStompThreejs at the pinned commit and indexes it on your machine.

Search the GitHub repository moonwho101/DungeonStompThreejs with XERJ (https://hub.xerj.org/corpus/moonwho101--dungeonstompthreejs).
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/moonwho101/DungeonStompThreejs DungeonStompThreejs && git -C DungeonStompThreejs checkout 79ff3063c0a918a29963edf870995bdd7ee0397e
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./DungeonStompThreejs --url http://127.0.0.1:9200 --prefix dungeonstompthreejs --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

moonwho101Web and frontend platform corporaqwikjose-jsrolldownimg2threejs/img2threejsALEVOLDON/portfolioZyFou/ProceduralTerrains

Selected work and consent: the XERJ registry.