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ai-feedback-coder

Fetch Supabase feedback items, generate plans, and route tasks to specialized skills.

Updated Dec 19, 2025
Search Tags:#automation#feedback#development workflow#bug fixing#supabase#feature implementation#ai coding
One-click install
npx skills add https://github.com/Spectaculous-Code/raamattu-nyt --skill ai-feedback-coder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-feedback-coder
Source: https://github.com/Spectaculous-Code/raamattu-nyt/tree/main/.claude/skills/ai-feedback-coder
Command: npx skills add https://github.com/Spectaculous-Code/raamattu-nyt --skill ai-feedback-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of implementing user feedback that has been specifically marked for AI-driven coding, streamlining the development cycle and ensuring user suggestions are actioned efficiently.

Core Features & Use Cases

  • Automated Feedback Processing: Selects and processes ai_code feedback items from a Supabase database.
  • Contextualization: Gathers all relevant feedback details and comments to provide a comprehensive understanding.
  • Plan Generation & Approval: Creates a concrete implementation plan and seeks user confirmation before proceeding.
  • Skill Routing: Intelligently directs the implementation task to the most appropriate specialized skill (e.g., systematic-debugging, frontend-design).
  • Status Updates & Auditing: Updates feedback status and logs actions taken for an audit trail.
  • Use Case: When a user reports a bug or suggests a feature via the app's feedback form, and it's flagged for AI coding, this skill will automatically prepare a code change plan, present it for your approval, and then execute it using the correct sub-skill.

Quick Start

Use the ai-feedback-coder skill to process the next ai-coded feedback item.

Frequently Asked Questions about ai-feedback-coder

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

FAQPage Schema
How do I automate bug fixing and feature implementation from user feedback?▼

You can automate user feedback implementation by fetching flagged items from a Supabase database. The skill gathers context, generates an actionable plan for approval, and routes execution to specialized sub-skills.

How does automated feedback processing work with Supabase?▼

Automated feedback processing queries Supabase for items marked for AI coding, gathers contextual details and comments, and prepares a concrete implementation plan for user approval before routing the task.

Can I route AI coding tasks to specialized skills for UI adjustments?▼

Yes, AI coding tasks for UI adjustments are intelligently routed to specialized sub-skills like frontend-design. The system evaluates the feedback context and directs the task to the most appropriate specialized skill for execution.

Do I need to approve the implementation plan before AI coding begins?▼

Yes, user approval is required before AI coding begins. The skill generates a concrete implementation plan from the gathered feedback context and explicitly seeks your confirmation before routing the task to a specialized sub-skill.

What happens to feedback status after AI coding is completed?▼

After AI coding is completed, the feedback status is updated in the Supabase database. The skill logs all actions taken during the implementation process to maintain a comprehensive audit trail for future reference.

When should I use automated feedback processing for development workflows?▼

Use automated feedback processing when users report bugs or suggest features flagged for AI coding. It streamlines the development cycle by preparing actionable code change plans, seeking approval, and executing them via the correct sub-skills.

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