civic-engagement-public-comment-analysislisted

# 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 h