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rube-de
rube-deCOMMUNITY
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GitHub

project-manager

Create machine-parseable GitHub issues from natural language prompts.

10|2|Updated Feb 7, 2026
Search Tags:#workflow#github#discovery#agent#issues#generate
One-click install
npx skills add https://github.com/rube-de/cc-skills --skill project-manager-rube-de
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: project-manager
Source: https://github.com/rube-de/cc-skills/tree/main/plugins/project-manager/skills/project-manager
Command: npx skills add https://github.com/rube-de/cc-skills --skill project-manager-rube-de

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing and standardizing work items for AI agent-enabled teams can be error-prone and time-consuming. This Skill guides users through type-specific discovery flows (bug, feature, epic, refactor, new project, chore, research spike) and yields machine-parseable GitHub issues that agents can execute autonomously, while keeping humans in the loop for context.

Core Features & Use Cases

  • Guided issue creation for multiple types (Bug, Feature, Epic, Refactor, New Project, Chore, Research Spike)
  • Produces structured, header-rich issues with explicit acceptance criteria, file paths, and scope
  • Triggers: create issue, plan work, new task, project manager, write ticket, draft issue, plan feature, plan project, start project, create ticket, pm

Quick Start

Describe a task in natural language and let the skill generate a ready-to-use, agent-optimized GitHub issue.

Frequently Asked Questions about project-manager

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

FAQPage Schema
How do I generate structured GitHub issues from natural language prompts?▼

Generate structured GitHub issues by entering a natural language task description, which triggers a guided discovery flow that produces machine-parseable tickets with explicit acceptance criteria and file paths.

Can I create different types of GitHub issues like epics or bug reports?▼

Create multiple GitHub issue types including bug reports, features, epics, refactors, new projects, chores, and research spikes, each guided by a type-specific discovery flow for precise scoping.

How do I write GitHub issues that AI agents can execute autonomously?▼

Write agent-ready GitHub issues by using this skill to produce header-rich, structured tickets with defined scope, acceptance criteria, and traceable file paths that agents can parse and implement.

What is the best way to plan features and draft GitHub tickets for AI-enabled teams?▼

Plan features and draft tickets by describing the task in natural language, letting the skill guide context discovery and output a standardized, machine-optimized GitHub issue for agent execution.

Do I need to manually format GitHub issues for autonomous agents or can it be automated?▼

Automate issue formatting for autonomous agents by inputting plain text prompts; the skill applies frontmatter metadata and workflows to ensure precise, machine-parseable issue structure without manual formatting.

What are the limitations of using natural language to generate GitHub issues?▼

Natural language issue generation relies on guided discovery flows requiring human-in-the-loop context confirmation, meaning it does not autonomously infer missing project details without explicit user input during the process.

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