feedback-extractor

Route legacy feedback extraction tasks to the content-agent shim.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/AllenZhou/MIRISE --skill feedback-extractor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback-extractor
Source: https://github.com/AllenZhou/MIRISE/tree/main/agents/uae-docs-pipeline/skills/feedback-extractor
Command: npx skills add https://github.com/AllenZhou/MIRISE --skill feedback-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically routes legacy feedback-extraction tasks to the content-agent shim to preserve workflows during migration.

Core Features & Use Cases

  • Redirects feedback extraction tasks to the content-agent to maintain compatibility in existing pipelines.
  • Preserves interfaces and prompts while centralizing logic in content-agent.

Quick Start

Route feedback extraction tasks through this shim to the content-agent.

Frequently Asked Questions about feedback-extractor

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

FAQPage Schema
How do I redirect legacy feedback extraction tasks during a workflow migration?

Redirect legacy feedback extraction tasks by routing them through a shim to the content-agent, which preserves existing pipelines and maintains workflow continuity during migration.

What is a shim and how does it handle feedback extraction deprecation?

A shim delegates feedback extraction tasks to the content-agent, preserving existing interfaces and prompts while centralizing logic to handle deprecation without breaking tooling.

Do I need additional dependencies to route feedback extraction to the content-agent?

No additional dependencies are required to route feedback extraction to the content-agent, as the shim uses existing project context and delegates directly to the content-agent interfaces.

Can I maintain existing pipeline compatibility when migrating feedback extraction logic?

Yes, you can maintain pipeline compatibility by using a shim that redirects feedback extraction tasks to the content-agent, preserving interfaces and prompts while centralizing the logic.

What's the best way to centralize feedback extraction logic without breaking existing tooling?

The best way to centralize logic without breaking tooling is implementing a shim that redirects feedback extraction tasks to the content-agent, preserving existing interfaces and prompts.

Why does my feedback extraction pipeline need a shim for content-agent migration?

Your feedback extraction pipeline needs a shim to maintain compatibility during migration, ensuring existing tooling and pipelines continue functioning by delegating tasks to the content-agent.