stakeholder-management-expert

Analyze stakeholder feedback with theme categorization, sentiment analysis, and response strategies.

28|9|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/reggiechan74/vp-real-estate --skill stakeholder-management-expert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stakeholder-management-expert
Source: https://github.com/reggiechan74/vp-real-estate/tree/main/.claude/skills/stakeholder-management-expert
Command: npx skills add https://github.com/reggiechan74/vp-real-estate --skill stakeholder-management-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the analysis of stakeholder feedback from consultations, transforming raw comments into actionable insights and strategic response plans.

Core Features & Use Cases

  • Feedback Summarization: Analyzes comments from public meetings, workshops, and consultations.
  • Theme & Sentiment Analysis: Identifies key themes, categorizes concerns, and assesses sentiment (support/opposition/neutral).
  • Response Strategy Development: Generates prioritized strategies and tactics to address stakeholder input.
  • Commitment Tracking: Creates a matrix to monitor commitments made during the consultation process.
  • Use Case: After a public meeting for a new transit station, use this Skill to summarize all feedback, identify the top 3 concerns (e.g., traffic, noise, property values), and generate a plan for how the project team will respond to each concern, including tracking specific commitments made.

Quick Start

Use the stakeholder management expert skill to summarize the feedback from the file 'sample_1_station_public_meeting.json'.

Frequently Asked Questions about stakeholder-management-expert

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

FAQPage Schema
How do I analyze stakeholder feedback from public consultation meetings?

You can analyze stakeholder feedback by importing raw comments from public meetings into this tool, which uses Python NLP scripts to categorize themes, assess sentiment, and generate markdown response strategies.

How do I categorize sentiment and key themes from public consultation comments?

Categorizing sentiment and themes is handled by the internal NLP processing logic, which evaluates raw consultation comments to identify key concerns and label sentiment as support, opposition, or neutral.

Can I generate a commitment tracking matrix from workshop feedback?

Yes, you can generate a commitment tracking matrix from workshop feedback, which monitors specific commitments made during the consultation process and outputs the results in JSON or markdown formats.

Does this stakeholder engagement tool require a specific data format for feedback analysis?

Feedback analysis requires data validation against a JSON schema, meaning your raw input from meetings and workshops must be structured appropriately before the NLP scripts can process the comments.

What is the best way to build a response strategy for infrastructure project concerns?

Building a response strategy for infrastructure projects is achieved by processing public consultation feedback to identify top concerns, allowing the system to generate prioritized tactics and actionable plans.