amia-ai-pr-review-methodology
CommunityStructured, evidence-driven PR reviews.
Software Engineering#cross-platform#code-review#quality-gates#pr-review#false-positives#review-template
AuthorEmasoft
Version1.0.0
Installs0
System Documentation
What problem does it solve?
PR reviews are often inconsistent and fail to confirm root causes or catch false positives. This skill provides a repeatable, evidence-based framework consisting of Phase 1 Context Gathering, Phase 2 Structured Analysis with five dimensions, Phase 3 Evidence Requirements, and a standardized Review Output template to produce thorough evaluations.
Core Features & Use Cases
- Phase 1 Context Gathering with actions to read complete files, search for duplicates, diagnose root cause, and verify claims.
- Phase 2 Five analysis dimensions: Problem Verification, Redundancy Check, System Integration Validation, Senior Developer Review, and False Positive Detection.
- Phase 3 Evidence generation requirements and scenario-specific protocols to ensure reproducibility.
- Generates a formal Review Output document to guide merges and feedback.
Quick Start
Read the full files, identify the root cause, apply all five dimensions, collect required evidence, and generate the standardized review output.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: amia-ai-pr-review-methodology Download link: https://github.com/Emasoft/ai-maestro-integrator-agent/archive/main.zip#amia-ai-pr-review-methodology Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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