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pr-review

Extract and index PR review content for semantic search embeddings.

Updated Aug 23, 2026
Search Tags:#automation#ai-assistant#code-review#pr-review#hermeneutic#bot-detection
One-click install
npx skills add https://github.com/indexzero/dotvibes --skill pr-review-indexzero
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/indexzero/dotvibes/tree/main/skills/pr-review
Command: npx skills add https://github.com/indexzero/dotvibes --skill pr-review-indexzero

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, jq, and includes scripts (resource) components.

What problem does it solve?

This Skill guides Claude to understand PR review comments within their full context using Heidegger's hermeneutic circle, differentiating between human expertise and AI/bot pattern recognition, and to respond in a collaborative, efficient way.

Core Features & Use Cases

  • Reviewer Identification: Distinguish human reviewers from bots and AI assistants.
  • Hermeneutic Analysis: Apply tailored interpretive frameworks for each reviewer type.
  • Contextual Responses: Craft contextually appropriate replies to drive consensus and learning.
  • Thread Management: Manage review threads holistically, including escalation for complex issues.

Quick Start

Use /respond-review 456 to analyze and respond to all reviews; preview with --dry-run

Frequently Asked Questions about pr-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate responses to PR review comments?▼

PR review automation uses vector embeddings to understand comment context and generate contextually appropriate responses. This Skill extracts review content, classifies reviewer types (human, bot, AI), and applies hermeneutic analysis to craft collaborative replies that drive consensus across pull request threads.

Can I distinguish between human reviewers and bot feedback in pull requests?▼

Yes. Reviewer identification differentiates human expertise from AI/bot pattern recognition by analyzing comment structure and content. This classification enables tailored interpretive frameworks for each reviewer type, improving response relevance and team collaboration.

How do I manage complex PR review threads with multiple reviewers?▼

Thread management handles review comments holistically across all participants. The Skill processes human, bot, and AI assistant feedback together, escalating complex issues while maintaining context, so you address concerns systematically without losing thread continuity.

What dependencies do I need to run PR review automation?▼

PR review automation requires `gh` (GitHub CLI) for API access and `jq` for JSON processing. These tools extract pull request data and enable the semantic analysis and response generation workflows this Skill performs.

Can I preview PR responses before posting them?▼

Yes. Use the `--dry-run` flag with the `/respond-review` command to preview analyzed reviews and generated responses before they're posted, allowing you to verify context interpretation and reviewer-aware recommendations.

When should I use hermeneutic analysis for PR reviews instead of template-based responses?▼

Hermeneutic analysis applies when you need context-aware, collaborative responses tailored to reviewer type rather than generic templates. Use it for complex feedback threads where understanding intent—distinguishing constructive critique from bot warnings—improves learning and consensus.

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