| name | coderabbit-core-workflow-b |
| description | Tune CodeRabbit review configuration: learnings, code guidelines, and noise reduction.
Use when fine-tuning review quality, training CodeRabbit with team preferences,
adding code guidelines, or reducing false positives.
Trigger with phrases like "coderabbit tune reviews", "coderabbit learnings",
"coderabbit guidelines", "reduce coderabbit noise", "coderabbit false positives".
|
| allowed-tools | Read, Write, Edit, Bash(gh:*), Grep |
| version | 1.11.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","coderabbit","workflow","tuning","learnings"] |
| compatibility | Designed for Claude Code, also compatible with Codex and OpenClaw |
CodeRabbit Core Workflow B: Learnings & Tuning
Overview
After initial CodeRabbit setup (Workflow A), this skill covers tuning review quality through learnings, code guidelines, tone customization, and noise reduction. CodeRabbit improves over time by learning from your team's feedback patterns and custom rules.
Prerequisites
- CodeRabbit installed and producing reviews (see
coderabbit-core-workflow-a)
- Several PRs worth of review history
- Understanding of team coding standards
Instructions
Step 1: Configure Code Guidelines
CodeRabbit automatically detects coding rules from standard config files in your repo. It also reads AI agent configuration files for additional context.
reviews:
knowledge_base:
code_guidelines:
auto_detection: true
custom_patterns:
- "docs/CODING_STANDARDS.md"
- "docs/SECURITY_POLICY.md"
- "team/code-style.txt"