pr-mining-coordinator

Coordinate GitHub PR mining jobs to extract coding rules and track progress.

415|44|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/notque/claude-code-toolkit --skill pr-mining-coordinator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-mining-coordinator
Source: https://github.com/notque/claude-code-toolkit/tree/main/skills/pr-mining-coordinator
Command: npx skills add https://github.com/notque/claude-code-toolkit --skill pr-mining-coordinator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Coordinates PR mining workflows to extract tribal knowledge and coding standards from GitHub PR history. Use when mining review comments, extracting coding rules, tracking mining jobs, or analyzing reviewer patterns across repositories.

Core Features & Use Cases

  • Coordinate background PR mining jobs with the pr-miner tool
  • Track running jobs and report progress to user
  • Generate categorized coding rules documents from mined data
  • Calculate pattern confidence from occurrence frequency
  • Handle API rate limits, auth failures, and empty result sets

Quick Start

Start mining by validating prerequisites and launching a background mining job against your target repositories with the pr-miner tool.

Frequently Asked Questions about pr-mining-coordinator

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

FAQPage Schema
How do I extract coding standards from GitHub PR review comments?

You can extract tribal knowledge by running a coordinated mining pipeline against GitHub PR history, which processes review comments to calculate pattern confidence and output categorized coding rules documents.

What is the pipeline architecture for mining tribal knowledge from repositories?

PR mining uses a five-stage pipeline architecture—Validate, Mine, Verify, Generate, and Report—to systematically process GitHub PR history and generate categorized coding rules with ongoing progress reporting.

How do I track running PR mining jobs and report progress?

You can track running PR mining jobs through background execution with ongoing progress reporting, allowing you to monitor the extraction of coding standards and reviewer patterns without blocking your workflow.

Can I calculate pattern confidence from GitHub PR review occurrence frequency?

Yes, you can calculate pattern confidence from occurrence frequency within mined GitHub PR data, transforming repeated review comments into verified, categorized coding rules for your repositories.

How does the system handle API rate limits and authentication failures during PR mining?

The system handles API rate limits, auth failures, and empty result sets during PR mining by managing tokens from the system keychain and applying domain intelligence to manage background job execution safely.

Do I need the pr-miner tool to analyze reviewer patterns across repositories?

Yes, you need the pr-miner tool integrated with this skill to launch background mining jobs, validate prerequisites, and analyze reviewer patterns across your target GitHub repositories effectively.