pie-ssg

A Markdown-based SSG for interactive science explainers

A new way for AI to search for data
View on GitHub
4GitHub stars

TypeScript, Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 70420298c4 (2026-10-20).

Selected work

“call python funcs for Scalar and Point nodes as inputs with rea…”. 7 files, 376 lines in src/lib.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. 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

educationscientific-visualizationssgstem

Example questions

The prompt

Paste it into your AI agent. It clones TinyVolt/pie-ssg at the pinned commit and indexes it on your machine.

Search the GitHub repository TinyVolt/pie-ssg with XERJ (https://hub.xerj.org/corpus/tinyvolt--pie-ssg).
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/TinyVolt/pie-ssg pie-ssg && git -C pie-ssg checkout 70420298c4e099179aa01eb0e55a9baa7f2b02d5
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./pie-ssg --url http://127.0.0.1:9200 --prefix pie-ssg --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.