update-pr-review

Analyze human feedback on bot-generated PR reviews and update review guidance.

144|16|Updated May 3, 2026
One-click install
npx skills add https://github.com/Terry-Mao/AICodingFlow --skill update-pr-review-terry-mao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: update-pr-review
Source: https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/update-pr-review
Command: npx skills add https://github.com/Terry-Mao/AICodingFlow --skill update-pr-review-terry-mao

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the issue of improving PR review companion skills by incorporating human feedback on bot-generated reviews.

Core Features & Use Cases

  • Feedback Analysis: Analyze aggregated human feedback on bot reviews.
  • Guidance Update: Generate concise updates to local review companion skills based on identified patterns.
  • Use Case: Utilize this Skill after receiving feedback on bot-generated PR reviews to refine and enhance the review companion skills.

Quick Start

Run the update-pr-review skill to process feedback and update review guidance.

Frequently Asked Questions about update-pr-review

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

FAQPage Schema
How do I refine automated GitHub Actions PR review skills using human feedback?

To refine automated PR review skills, you can process aggregated human feedback on bot-generated reviews to identify patterns and generate concise guidance updates for your local review companion skills.

What is the process for updating a bot PR review companion with feedback analysis?

Feedback analysis for a PR review companion involves evaluating human input on bot-generated reviews to detect correction patterns, which then translates into updated guidance rules for the local review skill.

How do I use Python to analyze human feedback on bot-generated PR reviews?

You use Python within this skill to perform data analysis and manipulation on aggregated human feedback, processing the dataset to extract actionable review guidance updates.

When do I need to apply human feedback to fine-tune automated PR review processes?

You need to apply human feedback to fine-tune automated PR review processes when your bot-generated reviews require correction based on human insights to improve accuracy in local review companion skills.

Does the update-pr-review skill work for GitHub Actions workflows?

Yes, this skill is applicable in scenarios where PR review processes are automated via GitHub Actions, allowing you to integrate human feedback analysis to refine the automated review output.

What are the limitations of using feedback analysis to improve code review skills?

The primary limitation is that this feedback analysis requires Python for data manipulation and depends entirely on the quality and aggregation of the human feedback provided on the bot reviews.