civic-intelligence

Generate concise civic and local news briefs from user prompts.

1|Updated May 9, 2026
One-click install
npx skills add https://github.com/weiping/gbrain-cn --skill civic-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: civic-intelligence
Source: https://github.com/weiping/gbrain-cn/tree/main/test/fixtures/openclaw-mixed-merge/skills/civic-intelligence
Command: npx skills add https://github.com/weiping/gbrain-cn --skill civic-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you quickly make sense of civic and local news updates without having to manually sift through scattered announcements and reports.

Core Features & Use Cases

  • Civic check summarization: Converts prompts like local news brief requests into a coherent, time-saving summary of relevant public-facing information.
  • Contextual brief for action: Organizes key takeaways you can use to decide what to read next, what to ask about, or what to monitor.
  • Fixture-purpose reliability: Acts as a stub for fixture testing, ensuring predictable behavior in regression scenarios.

Quick Start

Ask your AI to run civic-intelligence for the prompt "local news brief" and return a concise civic update focused on what matters most.

Frequently Asked Questions about civic-intelligence

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

FAQPage Schema
How do I get a concise local news brief from scattered public announcements?

A concise local news brief is generated by synthesizing user prompts into coherent summaries of relevant public-facing information, organizing key takeaways to help you decide what to monitor or ask about next.

What is civic check summarization for rapid public updates?

Civic check summarization converts prompts like local news brief requests into time-saving summaries of public-facing updates, providing contextual briefs for action so you can quickly understand what matters most.

How do I use fixture testing for deterministic brief generation in regression scenarios?

Fixture testing for deterministic brief generation is supported by mapping trigger phrases to predictable brief-generation behavior, ensuring reliable regression testing in mixed-merge scenarios without manual sifting.

Does civic-intelligence require any dependencies or components to summarize local news?

Civic-intelligence requires no dependencies or components to summarize local news, operating as a standalone prompt-driven tool for converting civic chatter into actionable insights.

What's the best way to turn local chatter into actionable civic insights?

Turning local chatter into actionable civic insights is best handled by requesting a civic check, which maps your prompt to deterministic behavior and outputs key takeaways for monitoring local news.

When should I not use a prompt-driven civic summarization tool?

Prompt-driven civic summarization is not suited for scenarios requiring deep investigative journalism or multi-document longitudinal analysis, as it focuses on rapid, deterministic brief generation from user prompts.