Skyer

Skyer

Corpus Hub contributor since 2026-10-24

Skyer'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
75files
4,121lines
★ 1GitHub stars on repo

Totals across every corpus @Ttrrace 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 MKLinkV4_Extra corpus

MicroKeen/MKLinkV4_Extra: 基于 MKLink 的 Vibe Coding 整活实验室。一起用 AI 写小游戏、做互动装置,把脑洞变成能跑、能玩、能分享的开源作品

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 MicroKeen/MKLinkV4_Extra with XERJ (https://hub.xerj.org/corpus/microkeen--mklinkv4-extra).
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/MicroKeen/MKLinkV4_Extra MKLinkV4_Extra && git -C MKLinkV4_Extra checkout 64885f7b2582125afe6b1bcdd337748f3478ad21
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./MKLinkV4_Extra --url http://127.0.0.1:9200 --prefix mklinkv4-extra --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: Apache-2.0. Keep the copyright notice and credit the authors.

corpus microkeen--mklinkv4-extra · AI, prompts and agents
Related corpora: instructor, awesome-llm-apps, aider, fabric
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

MicroKeen/MKLinkV4_Extra

64885f7b25 加入车站旅行、都市夜景与SD地图缓存 / Add train travel, city nights and SD map cache
selected commit: 75 files · 4,121 lines · C, Python · mklink_sample_fishing

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

selected · in licence reviewcorpus microkeen--mklinkv4-extraAIApache-2.0 agreed 2026-10-24

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.

XERJ Corpus Hub contributor badge
[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/Ttrrace/badge.svg)](https://hub.xerj.org/contributors/Ttrrace)

Included with the author's permission (email, 2026-10-24), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.