MinisSkills

Skills collection for Minis

A new way for AI to search for data

View on GitHub

567GitHub stars

Python, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 71bcfc81ae (2026-10-18).

Selected work

Mika
@xxesc

“add coredevice-toolkit skill (iOS 17+ on-device CoreDevice RSD)…”. 11 files, 1,736 lines in coredevice-toolkit.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

What does coredevice-toolkit do in MinisSkills?

The prompt

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

Search the GitHub repository OpenMinis/MinisSkills with XERJ (https://hub.xerj.org/corpus/openminis--minisskills).
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/OpenMinis/MinisSkills MinisSkills && git -C MinisSkills checkout 71bcfc81ae440c9e91213f94b25b9fa60c8580a7
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./MinisSkills --url http://127.0.0.1:9200 --prefix minisskills --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.

Mika API design and specification corpora

Selected work and consent: the XERJ registry.