historia

Generate structured GitHub issues from natural language descriptions.

1|Updated Jun 26, 2025
One-click install
npx skills add https://github.com/intrale/platform --skill historia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: historia
Source: https://github.com/intrale/platform/tree/main/.claude/skills/historia
Command: npx skills add https://github.com/intrale/platform --skill historia

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of well-structured GitHub issues from simple natural language descriptions, streamlining the product development workflow.

Core Features & Use Cases

  • Issue Generation: Converts user-provided descriptions into complete GitHub issues with titles, bodies, labels, and project assignments.
  • Duplicate Detection: Checks for existing similar issues before creation to prevent redundancy.
  • Use Case: As a product manager, you can simply say "Create a user story for adding a dark mode toggle to the app settings" and the Skill will handle the rest, including finding duplicates and assigning appropriate labels.

Quick Start

Use the historia skill to create a new user story for adding a dark mode toggle to the app settings.

Frequently Asked Questions about historia

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

FAQPage Schema
How do I create GitHub issues from natural language descriptions?

To create GitHub issues from natural language, provide a simple text description of your requirement. The skill parses your input, identifies keywords, and formats a structured issue with titles, bodies, labels, and project assignments automatically.

Can I generate user stories and product management tasks directly into GitHub?

Yes, you can generate user stories by inputting a plain text description of your product management task. The skill converts this into a complete GitHub issue, orchestrating parallel analysis for QA, security, and technical details before finalizing the entry.

Does this issue creation workflow check for duplicate GitHub issues?

Yes, the issue creation workflow includes duplicate detection. It analyzes existing GitHub issues before creation to prevent redundancy, ensuring your project board remains clean and avoiding repetitive user stories or bug reports.

How does automated labeling work when generating GitHub issues?

Automated labeling works by parsing your natural language input to identify relevant keywords. The skill then analyzes this text to assign appropriate labels to the new GitHub issue, integrating it directly into your project board.

What is the best way to integrate natural language issue creation with project roadmaps?

The best way to integrate natural language issue creation with project roadmaps is to let the skill handle the finalization. After generating the issue and completing technical analysis, it automatically updates your project roadmaps and board assignments.