Does this skill help with character limits in Rovo Studio?

Yes, it enforces strict validation rules for all components, including names (10-100 chars), descriptions (50-500), and scenario instructions (300-1000 words).

What is the TCREI framework used in this skill?

TCREI stands for Task, Context, Roles, Examples, and Implementation. It is a structured framework for writing high-quality natural language instructions that ensure Rovo agents behave predictably.

How does it handle agent permissions?

It builds configurations based on the principle that agents never grant more permissions than the requesting user already possesses, ensuring secure data access.

Can I use this for both Jira and Confluence agents?

Absolutely. The Rovo Foundation skill provides the taxonomy and governance models applicable to agents across the entire Atlassian ecosystem.

What are 'Scenario Instructions' in this context?

Scenarios are specific workflows (like 'Bug Triaging' or 'Release Notes Generation') that activate based on trigger keywords, allowing for more detailed logic than global behavior instructions.

Rovo Foundation Configuration

Name: Rovo Foundation Configuration
Author: jeremybrice

byjeremybrice

0•

Productividad y Flujo de Trabajo

Standardizes and accelerates the creation of high-performing Atlassian Rovo agents using the TCREI framework and platform-specific constraints.

Rovo Foundation is a specialized skill for Claude Code designed to help developers and product managers configure Atlassian Rovo agents with precision. It leverages the TCREI (Task, Context, Roles, Examples, Implementation) framework to ensure agent instructions are clear and effective while strictly adhering to Rovo Studio's technical constraints, such as character limits and component taxonomy. Whether you are defining global behaviors, setting up scenario-specific triggers, or configuring complex knowledge sources, this skill provides the governance and validation logic needed to build robust, production-ready AI agents for Jira and Confluence environments.

Características Principales

01Two-tier architecture management for behavior and scenario layers

02Mapping of Atlassian and 50+ third-party knowledge source connectors

030 GitHub stars

04Real-time validation of character and word count constraints for Rovo Studio

05TCREI framework implementation for optimized agent prompt engineering

06Copy-ready clipboard blocks formatted for Rovo Studio deployment

Casos de Uso

01Architecting custom Jira agents for automated ticket triage and workflow management

02Validating existing Rovo configurations against official platform limitations and best practices

03Drafting complex Confluence knowledge agents with multi-source data permissions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremybrice/the-forge rovo-foundation

For use in Claude.ai and ChatGPT

Características Principales

01Two-tier architecture management for behavior and scenario layers

02Mapping of Atlassian and 50+ third-party knowledge source connectors

030 GitHub stars

04Real-time validation of character and word count constraints for Rovo Studio

05TCREI framework implementation for optimized agent prompt engineering

06Copy-ready clipboard blocks formatted for Rovo Studio deployment

Casos de Uso

01Architecting custom Jira agents for automated ticket triage and workflow management

02Validating existing Rovo configurations against official platform limitations and best practices

03Drafting complex Confluence knowledge agents with multi-source data permissions