Max

Max

Corpus Hub contributor since 2026-10-20

Max'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.

1corpus
1selected commit
7files
673lines
★ 54GitHub stars on repo

Totals across every corpus @Max-cu 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 SkillGo corpus

Max-cu/SkillGo: Skill管理与运行能力闭环平台,多用户管理、隔离沙箱中运行、支持发布为api与你的业务系统结合。

Example questions
Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.
Search the GitHub repository Max-cu/SkillGo with XERJ (https://hub.xerj.org/corpus/max-cu--skillgo).
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/Max-cu/SkillGo SkillGo && git -C SkillGo checkout 07681eab74cce03dbed253412802b7723022cf77
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./SkillGo --url http://127.0.0.1:9200 --prefix skillgo --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 max-cu--skillgo · API design and specification
Related corpora: google-aip, arazzo-spec, zalando-restful-api-guidelines, siren-hypermedia
Search an OpenAPI spec from an agent · Case study: reference coding for agents

Selected work

GitHub ★ 54

Max-cu/SkillGo

Skill管理与运行能力闭环平台,多用户管理、隔离沙箱中运行、支持发布为api与你的业务系统结合。

On GitHub: 196 commits · 3 forks · 297 files at the pinned commit · created 2026-08 · last push 2026-10-29
Languages: Python 75%, TypeScript 12%, CSS 11%
07681eab74 feat(agent): opt-in fast context thinning (Octop / Workbuddy) (#13)
selected commit: 7 files · 673 lines · Python · backend, the project root

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

live on the hub · licence clearedcorpus max-cu--skillgoAPIMIT agreed 2026-10-20
XERJ Corpus Hub contributor badge
[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/Max-cu/badge.svg)](https://hub.xerj.org/contributors/Max-cu)

Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.