consulting-playbook
Young-Consultations/consulting-playbook (Python)
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work

“isolate trusted publication and enforce exact ownership before r…”. 8 files, 433 lines in scripts, config.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-23. 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 config do in consulting-playbook?
The prompt
Paste it into your AI agent. It clones Young-Consultations/consulting-playbook at the pinned commit and indexes it on your machine.
Search the GitHub repository Young-Consultations/consulting-playbook with XERJ (https://hub.xerj.org/corpus/young-consultations--consulting-playbook). 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/Young-Consultations/consulting-playbook consulting-playbook && git -C consulting-playbook checkout 61af2b9de211e54fe4513698356c95698956f21d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./consulting-playbook --url http://127.0.0.1:9200 --prefix consulting-playbook --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
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Selected work and consent: the XERJ registry.