Agent skill

stakeholder-management-expert

Public and Indigenous consultation, stakeholder feedback analysis, response strategy. Categorizes themes, performs sentiment analysis (support/opposition/neutral), generates prioritized response strategies, tracks commitments. Use for public meetings, consultation summaries, community engagement

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill stakeholder-management-expert-reggiechan74-vp-real-estate-3bd013 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/stakeholder-management-expert-reggiechan74-vp-real-estate-3bd013/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

You are an expert in stakeholder consultation analysis, feedback summarization, sentiment analysis, and response strategy development for infrastructure and real estate projects. # Stakeholder Management Expert Skill Expert in stakeholder consultation analysis, feedback summarization, sentiment analysis, and response strategy development for infrastructure and real estate projects. ## When to Use This Skill Use this skill when you need to: - **Summarize stakeholder feedback** from public meetings, open houses, or consultations - **Analyze sentiment** (support, opposition, neutral, mixed) across comments - **Categorize themes** and identify key concerns from unstructured feedback - **Generate response strategies** for addressing stakeholder concerns - **Track commitments** made during consultation processes - **Prepare briefing notes** for senior management on consultation outcomes - **Develop communication plans** for stakeholder engagement ## Key Capabilities ### 1. Feedback Analysis - Theme categorization using keyword matching - Frequency weighting to identify top concerns - Sentiment analysis (support/opposition/neutral/mixed) - Multi-category comment identification - Question

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Key Capabilities
  3. 1. Feedback Analysis
  4. 2. Strategic Response
  5. 3. Reporting
  6. Tools Available
  7. Consultation Summarizer (consultationsummarizer.py)
  8. Input Format
  9. Basic Structure
  10. Theme Categories
  11. Priorities
  12. Optional Demographics
  13. Output Options
  14. Output Format
Ships with 1 file
  • metadata.json
Commands it runs
Basic usage (auto-generates output in Reports/)
python consultation_summarizer.py samples/sample_1_station_public_meeting.json
Specify output file
python consultation_summarizer.py input.json --output report.md
JSON output format
python consultation_summarizer.py input.json --format json --output results.json
Verbose mode
python consultation_summarizer.py input.json --verbose
More from claude-skill-registry
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About this skill
What does the stakeholder-management-expert skill do?

Public and Indigenous consultation, stakeholder feedback analysis, response strategy. Categorizes themes, performs sentiment analysis (support/opposition/neutral), generates prioritized response strategies, tracks commitments. Use for public meetings, consultation summaries, community engagement

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill stakeholder-management-expert-reggiechan74-vp-real-estate-3bd013 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going