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---
name: civic-engagement-public-comment-analysis
description: "Representative sampling, theme coding with reliability checks, and reporting honoring minority voices."
---
# Analyze public comments without bias amplification
> Representative sampling, theme coding with reliability checks, and reporting honoring minority voices.
**Track:** 🏛️ Public Sector & GovTech · **Domain:** Civic Engagement · **Level:** intermediate · **~35 min**
**Who this is for:** Civic Technologists, Program Managers, Policy Analysts, Gov IT Teams
## When to Use This Skill
Representative sampling, theme coding with reliability checks, and reporting honoring minority voices.
Use it whenever a matching task appears in conversation — the agent loads these instructions on demand.
## Steps
1. Inventory comment sources; weight channels by reach, not volume alone
2. Deduplicate campaigns while preserving legitimate distinct senders
3. Code themes with double-coding on a sample; measure agreement
4. Report majority AND minority themes explicitly with counts
5. Publish methodology so conclusions can be scrutinized
6. Feed results into decision documents with responses to themes raised
## Common Pitfalls
- Form-letter campaigns counted as thousands of unique voices
- Analysis confirming the pre-written decision
## Commands
**Install with skills CLI**
```bash
npx skills add aniruddhaadak80/skills --skill civic-engagement-public-comment-analysis
```
**Install globally**
```bash
npx skills add aniruddhaadak80/skills --skill civic-engagement-public-comment-analysis -g
```
---
Part of [aniruddhaadak80/skills](https://github.com/aniruddhaadak80/skills) · Browse all at https://skills.sh/aniruddhaadak80/skills