feedback-loop

Automate remediation iterations for blocking review findings with retry limits.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Kiwi-Home/ai-workflow --skill feedback-loop-kiwi-home
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback-loop
Source: https://github.com/Kiwi-Home/ai-workflow/tree/main/plugins/structured-workflows/skills/feedback-loop
Command: npx skills add https://github.com/Kiwi-Home/ai-workflow --skill feedback-loop-kiwi-home

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill defines a repeatable remediation loop to resolve blocking findings from reviews, preventing ad-hoc fixes that miss scope, repeat futile attempts, or leave unresolved issues untracked.

Core Features & Use Cases

  • Controlled Iterations: Tracks remediation attempts with iteration markers that record refs targeted, files changed, commit hashes, and approach summaries for auditable retries.
  • Mode Selection: Supports interactive human-in-the-loop prompts or autonomous execution for unattended remediation runs.
  • Failure & Scope Guardrails: Enforces per-finding retry limits, stuck-finding detection, termination conditions, and strict scope constraints to prevent scope creep.
  • Re-review Safety: Forces comprehensive re-reviews after fixes to catch regressions and newly introduced issues.
  • Use Case: After a /review returns a BLOCK verdict, run targeted remediations against MUST-FIX findings, iterate up to the configured max, and produce a final summary of resolved and stuck findings.

Quick Start

Request a targeted remediation run for the brief with blocking findings and allow the loop to attempt up to the configured number of iterations.

Frequently Asked Questions about feedback-loop

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

FAQPage Schema
How do I automate remediation for blocking code review findings?

Automated remediation for blocking code review findings works by applying targeted fixes to MUST-FIX issues, tracking iteration markers for changed files and commit hashes, and enforcing per-finding retry limits to prevent futile attempts.

What is the best way to iterate on blocked review findings without scope creep?

Iterating on blocked review findings without scope creep requires strict scope constraints that target only specific blocking issues, detect stuck findings, and enforce termination conditions after a configured maximum number of remediation attempts.

Can I run autonomous remediation loops for unattended code review fixes?

Yes, autonomous remediation loops support unattended execution for blocking review findings, allowing the system to apply fixes, track iteration counts, and produce a final summary of resolved and stuck findings without human-in-the-loop prompts.

How does a remediation manifest track iteration attempts across code reviews?

A remediation manifest tracks iteration attempts by recording refs targeted, files changed, commit hashes, and approach summaries for each retry, ensuring context persistence across iterations and providing an auditable trail for comprehensive re-reviews.

What happens after targeted remediation fixes are applied to blocking review findings?

After targeted remediation fixes are applied, a comprehensive re-review is forced to catch regressions and newly introduced issues, producing a final summary that distinguishes between resolved findings and stuck findings that exceeded retry limits.

When should I use interactive mode versus autonomous mode for review remediation?

Use interactive mode for review remediation when you need human-in-the-loop prompts to validate fixes, and autonomous mode for unattended remediation runs where the loop applies fixes and tracks iterations up to the configured maximum without manual intervention.