Redmine RAG Development

Name: Redmine RAG Development
Author: matejikj

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Streamlines the development of Retrieval-Augmented Generation (RAG) features for Redmine with strict grounding and citation requirements.

This skill provides a standardized workflow for developers building and maintaining the Redmine RAG project, focusing on high-fidelity AI responses and verifiable data retrieval. It enforces a structured implementation path that includes mandatory database migrations via Alembic, centralized service logic, and thin API handlers to ensure clean architecture. By prioritizing deterministic retrieval and auditable source tracking, this skill helps developers build AI agents that prevent hallucinations and provide fully traceable claims based on Redmine project data.

Key Features

01Enforces strict grounding and citation guardrails for AI responses

020 GitHub stars

03Provides built-in commands for evaluation and synchronization

04Automates documentation updates including README and ADRs

05Integrates Alembic migration workflows for schema consistency

06Standardizes service-oriented architecture for RAG implementation

Use Cases

01Developing auditable AI agents that prevent hallucinations in project data

02Standardizing backend service logic for RAG-based API endpoints

03Implementing a citation-backed knowledge base for Redmine issues

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add matejikj/redmine-rag redmine-rag-dev

For use in Claude.ai and ChatGPT

Download Skill