policy-research-synthesizer

Synthesize municipal policy research into decision options with trade-offs and implementation questions.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/BrianPillmore/MayorGPT --skill policy-research-synthesizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: policy-research-synthesizer
Source: https://github.com/BrianPillmore/MayorGPT/tree/main/skills/data-and-research/policy-research-synthesizer
Command: npx skills add https://github.com/BrianPillmore/MayorGPT --skill policy-research-synthesizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesizes policy research into decision-ready options with clearly stated trade-offs, examples, and implementation questions to accelerate municipal decision-making.

Core Features & Use Cases

  • Synthesize decision options: Present a concise set of policy alternatives with trade-offs and real-world examples.
  • Evidence mapping: Summarize sources, identify gaps, and flag caveats for oversight and transparency.
  • Follow-up planning: Generate implementation questions and recommended next steps for governance processes.

Quick Start

Ask the model to synthesize policy research into decision-ready options for a specified municipal question, using attached sources, and produce a concise memo with trade-offs and implementation questions.

Frequently Asked Questions about policy-research-synthesizer

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

FAQPage Schema
How do I synthesize municipal policy research into decision-ready options?

Policy research synthesis converts diverse source materials into concise municipal decision options by mapping evidence, stating trade-offs, providing real-world examples, and generating implementation questions. You define the scope, attach sources, set deadlines, and list caveats to produce a synthesis memo.

Can I use this for policy questions targeting different audiences like council and public?

Policy synthesis supports municipal questions across audiences including council, administration, and the public. You specify the target audience and deadline when requesting decision-ready options, and the output adjusts the synthesis memo and structured extracts accordingly.

What sources do I need to prepare for policy research synthesis?

Policy research synthesis requires diverse source materials, a defined scope, deadlines, and an explicit list of caveats. You attach these source documents to the request, and the synthesis process summarizes them, identifies evidence gaps, and flags transparency issues for oversight.

How does evidence mapping work when synthesizing policy options?

Evidence mapping in policy synthesis summarizes attached sources, identifies gaps in the research, and flags caveats for oversight and transparency. This structured extraction process ensures decision-makers see the factual basis and limitations behind each presented policy option.

What is the best way to present policy alternatives with trade-offs to a city council?

The best way to present policy alternatives is through a synthesis memo containing a concise set of options with clearly stated trade-offs, real-world examples, and implementation questions. This format accelerates municipal decision-making by giving council members structured, actionable comparisons.

What follow-up planning outputs does policy research synthesis generate?

Follow-up planning in policy synthesis generates implementation questions and recommended next steps for governance processes. These outputs accompany the synthesis memo and structured extracts, ensuring that decision-ready options translate into actionable municipal policy execution pathways.