scara-arm-calibration
A step-by-step calibration algorithm for a SCARA arm using a math solver in Python
What XERJ indexed
Snapshot
The whole repository at commit 33a83dcba3. It is the newest commit on main.
Selected work
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
The prompt
Paste it into your AI agent. It clones lucasmkrx/scara-arm-calibration at the pinned commit and indexes it on your machine.
Search the GitHub repository lucasmkrx/scara-arm-calibration with XERJ (https://hub.xerj.org/corpus/lucasmkrx--scara-arm-calibration). 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/lucasmkrx/scara-arm-calibration scara-arm-calibration && git -C scara-arm-calibration checkout 33a83dcba35074dcd7213004b265c2ead20fe12f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./scara-arm-calibration --url http://127.0.0.1:9200 --prefix scara-arm-calibration --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.
Related
Lucas MarquesAPI design and specification corpora
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.