chicago-desk

Generate Bulls analysis and neighborhood texture articles for Chicago reporting windows.

1|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/pnils08/GodWorld --skill chicago-desk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chicago-desk
Source: https://github.com/pnils08/GodWorld/tree/main/.claude/agents/chicago-desk
Command: npx skills add https://github.com/pnils08/GodWorld --skill chicago-desk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables the Chicago desk to produce two polished pieces per reporting window: one Bulls coverage analysis and one neighborhood texture scene, ensuring continuity with prior reporting and local context.

Core Features & Use Cases

  • Memory-driven continuity: references returning citizens and venues to maintain character across pieces.
  • Dual-output workflow: generates sports-focused coverage and city texture storytelling that feels grounded in real Chicago venues.
  • Voice and constraints: adheres to the CHICAGO weather, named sources, and city-specific venues, while following safety and ethics guidelines.
  • Use Case: Write a Bulls feature that ties a trade rumor to a neighborhood sentiment from Bronzeville residents.

Quick Start

Instruct the desk to produce two pieces for the current calendar period, using the Chicago briefing and available packet data.

Frequently Asked Questions about chicago-desk

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

FAQPage Schema
How do I generate Chicago Bulls analysis tied to local neighborhood texture?

To generate Chicago Bulls analysis with neighborhood texture, instruct the desk to produce dual-output pieces for the current calendar period. The workflow leverages memory continuity and local briefings to ground sports coverage in specific Chicago venues and residents.

What is memory-driven continuity for local journalism desk coverage?

Memory-driven continuity for local journalism references returning citizens and venues from prior reporting windows. It maintains character and consistent sourcing across Bulls analysis and neighborhood texture pieces, ensuring narrative coherence without repeating previously established context.

How do I produce sports features that obey city weather and location constraints?

Producing sports features with city weather and location constraints involves applying the current Chicago briefing data. The desk integrates specific weather conditions and named local venues into Bulls coverage, ensuring all reporting reflects accurate geographical and meteorological context.

Can I use named sources and fresh quotes in automated Bulls coverage?

Yes, you can use named sources and fresh quotes in automated Bulls coverage. The desk workflow is designed to produce original quotes from named individuals while maintaining safety and ethics guidelines, adhering strictly to Chicago-focused sourcing constraints.

What is the best way to maintain consistent sourcing across multiple reporting windows?

The best way to maintain consistent sourcing across reporting windows is leveraging memory continuity alongside current briefing data. This approach ensures returning citizens, venues, and characters remain consistent across both Bulls analysis and neighborhood texture storytelling.

Does the Chicago desk workflow support combining sports timelines with city storytelling?

Yes, the Chicago desk workflow supports combining sports timelines with city storytelling. It incorporates a clear sports timeline for Bulls events while simultaneously producing neighborhood texture scenes, linking team developments to local sentiment across distinct Chicago areas.