Auny

Corpus Hub contributor since 2026-10-17

Auny'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

19files

1,671lines

★ 9GitHub stars on repo

Totals across every corpus @aunysillyme 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 agent-personalizer corpus

aunysillyme/agent-personalizer: AI custom instructions from approved entries: a profile and rules for Claude Code, Codex, Cursor, Gemini CLI and ChatGPT, kept in sync from

Look up how agent-personalizer implements agent-onboarding, agents-md, ai-agents, with answers cited to file and line.
Reuse a worked example: the commit “0.8.0 candidate: learns from your sessions, no questionnaire” (19 files · JavaScript, shell).
Answer from agent-personalizer's real JavaScript source instead of memory (AI, prompts and agents).

Example questions

Where does agent-personalizer handle “0.8.0 candidate: learns from your sessions, no questionnaire”?
How does agent-personalizer implement agent-onboarding?
What does bin do in agent-personalizer?

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

Search the GitHub repository aunysillyme/agent-personalizer with XERJ (https://hub.xerj.org/corpus/aunysillyme--agent-personalizer).
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/aunysillyme/agent-personalizer agent-personalizer && git -C agent-personalizer checkout a3b377a9684ba0eb6091e08a29671e0b8d504b01
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agent-personalizer --url http://127.0.0.1:9200 --prefix agent-personalizer --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 aunysillyme--agent-personalizer · AI, prompts and agents
Related corpora: xerj-blogposts, prompt-engineering-guide, Fadi88/one-man-startup, alipajand/agent-readiness-action
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 9

aunysillyme/agent-personalizer

a3b377a968 0.8.0 candidate: learns from your sessions, no questionnaire

selected commit: 19 files · 1,671 lines · JavaScript, shell · bin, test, render

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

selected · in licence reviewcorpus aunysillyme--agent-personalizerAIMITagent-onboardingagents-mdai-agentschatgptclaude-codecodex agreed 2026-10-17

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/aunysillyme/badge.svg)](https://hub.xerj.org/contributors/aunysillyme)

Included with the author's permission (email, 2026-10-17), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.