Triage MultiQC Module Requests

Automate MultiQC module request triage with priority scoring and GitHub actions.

1.5k|681|Updated Aug 4, 2015
One-click install
npx skills add https://github.com/MultiQC/MultiQC --skill triage-multiqc-module-requests
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Triage MultiQC Module Requests
Source: https://github.com/MultiQC/MultiQC/tree/main/.claude/skills/triaging-module-requests
Command: npx skills add https://github.com/MultiQC/MultiQC --skill triage-multiqc-module-requests

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Manual triage of MultiQC module requests is time-consuming, inconsistent, and can delay the integration of valuable new features. This Skill automates the entire process, ensuring that development efforts are focused on the most impactful and well-prepared requests. It removes the burden of subjective evaluation and provides a clear, data-driven prioritization system, allowing maintainers to rest while AI handles the initial assessment.

Core Features & Use Cases

  • Automated Priority Scoring: Calculates a comprehensive priority score (0-100) for each module request based on tool popularity (GitHub stars, downloads), community engagement (reactions, comments), request quality (completeness, example files), and technical feasibility. This saves maintainers significant time in evaluation.
  • GitHub Workflow Integration: Seamlessly integrates with GitHub to automatically add priority labels (High, Medium, Low, Hold), post detailed analysis comments, and update project boards, keeping maintainers and contributors informed without manual effort.
  • Actionable Feedback for Contributors: Provides specific, constructive feedback and clear next steps to requesters, empowering them to improve their submissions and increase their request's priority, reducing complexity for both sides.
  • Use Case: A new module request is submitted for a popular bioinformatics tool. This Skill automatically analyzes the request, assigns a "High Priority" label, and posts a comment detailing the score breakdown and confirming it's ready for development, all without human intervention.

Quick Start

To analyze a specific module request, comment @claude analyze-module on the GitHub issue. For a weekly batch analysis, trigger the triage-all mode via workflow dispatch.

Frequently Asked Questions about Triage MultiQC Module Requests

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

FAQPage Schema
How do I automate triage of GitHub module requests with priority scoring?

Automate triage by applying a 0-100 priority scoring system based on tool popularity, community engagement, request quality, and technical feasibility. The Skill automatically labels issues, posts analysis comments, and updates project boards without manual intervention.

Can I set up automated GitHub workflows to analyze and label new module requests?

Yes. Integrate with GitHub workflows to automatically fetch issue data via CLI, compute priority scores, add priority labels (High, Medium, Low, Hold), post detailed feedback comments, and update project boards on new requests or via weekly batch analysis.

What's the best way to reduce manual effort in evaluating module request quality and feasibility?

Use data-driven priority scoring that evaluates tool popularity, community reactions, request completeness, and technical feasibility. Actionable feedback guides contributors to improve submissions, increasing priority scores and reducing inconsistency in maintainer assessment.

How do I trigger on-demand analysis of a specific module request?

Comment `@claude analyze-module` on the GitHub issue to trigger immediate analysis. The Skill calculates a priority score, applies relevant labels, posts detailed feedback, and updates project boards for that specific request.

Does this work with GitHub project boards and issue labels for prioritization?

Yes. The Skill integrates directly with GitHub to add priority labels and update project boards automatically, keeping maintainers and contributors informed. Dry-run mode lets you preview changes before applying them.