issue-labels

Analyze GitHub issue content and history to recommend contextual label additions or removals.

Updated May 31, 2026
One-click install
npx skills add https://github.com/ascerra-fullsend-rehearsal/fullsend --skill issue-labels-ascerra-fullsend-rehearsal
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: issue-labels
Source: https://github.com/ascerra-fullsend-rehearsal/fullsend/tree/main/internal/scaffold/fullsend-repo/skills/issue-labels
Command: npx skills add https://github.com/ascerra-fullsend-rehearsal/fullsend --skill issue-labels-ascerra-fullsend-rehearsal

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill includes scripts (resource) components.

What problem does it solve?

Manages GitHub issue labels, offering recommendations to add or remove them on issues and pull requests, streamlining issue categorization and tracking.

Core Features & Use Cases

  • Label Discovery: Automatically identifies existing repository labels.
  • Contextual Labeling: Suggests relevant labels based on issue content and conventions.
  • Control Label Avoidance: Prevents recommendation of control labels managed by pipelines.
  • Issue Type Awareness: Avoids recommending labels that duplicate issue types.
  • Label History Analysis: Leverages recent label application data to refine suggestions.
  • Output JSON: Delivers label recommendations in a structured JSON format for automated processing.
  • Use Case: Use this Skill to enhance issue management in GitHub repositories, improving organization and visibility.

Quick Start

Apply the 'issue-labels' Skill to an issue to get recommended labels for contextually adding or removing.

Frequently Asked Questions about issue-labels

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

FAQPage Schema
How do I automate GitHub issue label suggestions based on issue content?โ–ผ

This Skill automates GitHub issue label suggestions by analyzing issue content and existing repository conventions. It generates contextual label recommendations and outputs them in a structured JSON format for adding or removing labels on issues and pull requests.

How does label automation handle control labels managed by pipelines?โ–ผ

Label automation avoids recommending control labels managed by pipelines. It identifies existing repository labels and deliberately excludes control labels from its contextual recommendations to prevent interference with automated pipeline workflows.

Can I use contextual labeling for both GitHub issues and pull requests?โ–ผ

Yes, you can use contextual labeling for both GitHub issues and pull requests. The Skill analyzes content from both to offer relevant label recommendations that streamline categorization and tracking while avoiding duplicate issue type labels.

What is the best way to organize repository labels using recent history?โ–ผ

The best way to organize repository labels using recent history is by leveraging recent label application data. This Skill analyzes recent label usage to refine and enhance the relevance of contextual label suggestions for your issues and pull requests.

Why does the label recommendation avoid duplicating issue types?โ–ผ

Label recommendations avoid duplicating issue types to maintain accurate categorization and tracking. The Skill is aware of issue types and prevents suggesting labels that redundantly match existing types, ensuring cleaner repository organization.