feedback-to-specs

Parses raw Senzing Bootcamp feedback into deduplicated improvement specifications using the live MCP server.

Updated Jul 13, 2026
One-click install
npx skills add https://github.com/docktermj/senzing-bootcamp-claude-plugin --skill feedback-to-specs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback-to-specs
Source: https://github.com/docktermj/senzing-bootcamp-claude-plugin/tree/main/.claude/skills/feedback-to-specs
Command: npx skills add https://github.com/docktermj/senzing-bootcamp-claude-plugin --skill feedback-to-specs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the challenge of managing and triaging unstructured feedback from multiple users, ensuring that maintainers can systematically turn reports into verified, deduplicated technical specifications without manual overhead.

Core Features & Use Cases

  • Automated Triage: Parses feedback files, normalizes entries, and checks them against a ledger to prevent duplicate processing.
  • Fact Verification: Integrates with the live Senzing MCP server to re-verify technical claims, ensuring specs are based on current system behavior rather than stale reports.
  • Upstream Reporting: Facilitates the secure, anonymous submission of confirmed defects to the Senzing team.

Quick Start

Use the feedback-to-specs skill to analyze the file SENZING_BOOTCAMP_PLUGIN_FEEDBACK.md and generate the necessary improvement specs.

Frequently Asked Questions about feedback-to-specs

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

FAQPage Schema
How do I convert raw user feedback into structured engineering specifications?

Converting raw user feedback into structured engineering specifications involves parsing unstructured reports, cross-referencing them against a persistent ledger to deduplicate entries, and verifying technical claims against a live server to generate maintainer-grade improvement specs.

How do I deduplicate user feedback entries during triage?

Deduplicating user feedback entries requires cross-referencing incoming raw reports against a persistent ledger to identify previously processed items, preventing duplicate processing and ensuring only new issues generate technical specifications.

Can I verify technical claims in feedback against a live Senzing MCP server?

Yes, technical claims in feedback can be verified against a live Senzing MCP server. This fact verification ensures generated improvement specifications reflect current system behavior rather than stale reports or outdated assumptions.

What is the best way to automate bootcamper feedback triage for upstream defect reporting?

Automating bootcamper feedback triage for upstream reporting requires parsing raw feedback files, verifying claims against a live server, and facilitating secure, anonymous submission of confirmed defects to the engineering team.

Do I need a specific feedback file format to generate engineering improvement specs?

Yes, generating engineering improvement specs requires a markdown feedback file such as SENZING_BOOTCAMP_PLUGIN_FEEDBACK.md. The skill parses this file to extract and normalize raw entries for processing into structured specifications.

When should I not use automated feedback triage for maintenance specifications?

Automated feedback triage for maintenance specifications should not be used when a live Senzing MCP server is unavailable for fact verification, as generated specs would rely on stale reports rather than current system behavior.