Kuo-Ming Lin (Kalvar)
Kuo-Ming Lin (Kalvar)'s work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @Kalvar appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the python-GreyTheory corpus
Kalvar/python-GreyTheory: A lightweight, high-performance Python library for Grey System Theory, integrating grey models, advPCA, feature selection, forecasting, and
- Reuse a worked example: the commit “add advPCA and quality-aware feature selection” (57 files · Python).
- Answer from python-GreyTheory's real Python source instead of memory (AI, prompts and agents).
- Where does python-GreyTheory handle “add advPCA and quality-aware feature selection”?
- What does greytheory do in python-GreyTheory?
Search the GitHub repository Kalvar/python-GreyTheory with XERJ (https://hub.xerj.org/corpus/kalvar--python-greytheory). 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/Kalvar/python-GreyTheory python-GreyTheory && git -C python-GreyTheory checkout b72eac6c4d9d7ae678d3b729d9bb16225c24099b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./python-GreyTheory --url http://127.0.0.1:9200 --prefix python-greytheory --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.
corpus kalvar--python-greytheory · AI, prompts and agents
Related corpora: guardrails, instructor, awesome-llm-apps, gorilla
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
Kalvar/python-GreyTheory
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/Kalvar)
Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.