JiBrok Studio for Jira CloudUse this page to help AI assistants (ChatGPT, Claude, Copilot, etc.) generate correct scripts for JiBrok Studio.
Quick start
- Open llms-full.txt (complete API reference, ~420 lines)
- Copy the full text
- Paste it into your AI assistant as context
- Ask it to write a script for your task
Example prompt:
Using the JiBrok Studio API reference above, write a script that finds all issues in project PROJ that are overdue, adds a comment “Please update or close this issue”, and transitions them to “In Review” status.
What’s included
The llms-full.txt reference covers:
| Section | Description |
|---|---|
| Sandbox constraints | What’s different from standard JS (no fetch, no DOM, auto-await, etc.) |
| Issues API | Search, create, update, transition. 40+ RichIssue methods |
| Jira Entities | Users, Projects, Fields, Components, Versions, Boards, Sprints, Links, Epics, Groups, Filters |
| Configuration & Assets | Workflows, Screens, Schemes, Roles, JSM Assets/CMDB |
| Utilities | Adf builder, DateUtils, Arrays, Strings, CSV, Validator |
| Tables & Queues | Custom data storage CRUD, message queue lifecycle |
| Async Events & UIM | Script-to-script triggering, form field modification |
| Type Methods | All whitelisted String (58), Array (48), Date (40+), Set, Map methods |
| Differences from JS | Division by zero, in operator, parseInt radix, and more |
| Common Patterns | Bulk operations, reporting, field sync, table/queue patterns |
For AI tool developers
JiBrok Studio supports the llms.txt standard:
/llms.txt- Brief description with links to documentation pages/llms-full.txt- Complete API reference in one file
AI tools can fetch these files automatically to provide context-aware script generation.
Next steps
- Scripting API - Full interactive API reference
- Scripting Examples - Practical recipes and patterns
- Script Console - Interactive editor and execution
