Diyaz Seisenbayev

Corpus Hub contributor since 2026-10-24

Diyaz Seisenbayev'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

3files

179lines

★ 1GitHub stars on repo

Totals across every corpus @RakamakadoN 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 ghost-busters-skill corpus

RakamakadoN/ghost-busters-skill: Open-source debugging toolkit for AI coding agents. Detect silent failures with 13 bug classes, static analyzers, and production probes.…

Look up how ghost-busters-skill implements claude-code, claude-skill, debugging, with answers cited to file and line.
Reuse a worked example: the commit “PR #1 follow-up: declaration-based variable resolution, column scanne…” (3 files).
Answer from ghost-busters-skill's real source instead of memory (AI, prompts and agents).

Example questions

How does ghost-busters-skill implement claude-code?
What does references do in ghost-busters-skill?

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

Search the GitHub repository RakamakadoN/ghost-busters-skill with XERJ (https://hub.xerj.org/corpus/rakamakadon--ghost-busters-skill).
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/RakamakadoN/ghost-busters-skill ghost-busters-skill && git -C ghost-busters-skill checkout b583898c8c3e4e1f07fa2cdf257093350baf3e71
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ghost-busters-skill --url http://127.0.0.1:9200 --prefix ghost-busters-skill --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 rakamakadon--ghost-busters-skill · AI, prompts and agents
Related corpora: coroot, fluentd, kishanmundha/agent-session-inspector, ehzawad/codex-council
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

RakamakadoN/ghost-busters-skill

b583898c8c PR #1 follow-up: declaration-based variable resolution, column scanne…

selected commit: 3 files · 179 lines · references, tests

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

selected · in licence reviewcorpus rakamakadon--ghost-busters-skillAIMITclaude-codeclaude-skilldebuggingobservability 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](https://hub.xerj.org/contributors/RakamakadoN/badge.svg)](https://hub.xerj.org/contributors/RakamakadoN)

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.