sg-improve

Aggregate audit and visual-run learnings into .shipguard/learnings.yaml and GitHub issues.

7|2|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/bacoco/ShipGuard --skill sg-improve
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sg-improve
Source: https://github.com/bacoco/ShipGuard/tree/main/plugins/shipguard/skills/sg-improve
Command: npx skills add https://github.com/bacoco/ShipGuard --skill sg-improve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ShipGuard's audit and visual-test sessions generate insights. sg-improve consolidates those learnings into project-specific memory and generic improvements, reducing repeating issues and speeding future audits.

Core Features & Use Cases

  • Local learnings: creates .shipguard/learnings.yaml with zone hints, infra timing, and audit patterns.
  • GitHub improvements: files a GitHub issue for generic improvements that benefit all ShipGuard users.
  • Session history and rollback: snapshots and restores previous states to support safe experimentation.

Quick Start

Run /sg-improve after an audit or visual-session to capture learnings and create actionable items.

Frequently Asked Questions about sg-improve

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

FAQPage Schema
How do I consolidate audit and visual-run learnings into a project-specific memory file?▼

You can consolidate session learnings by aggregating project-specific zone hints, audit patterns, and noise filters into a .shipguard/learnings.yaml file to reduce repeating issues and speed up future audits.

What is the best way to automate feedback loops from GitHub audit sessions?▼

Automating feedback loops involves aggregating insights from audit and visual-run sessions, updating session history, and optionally filing a GitHub issue for generic improvements that benefit all ShipGuard users.

Can I roll back project-specific audit patterns if an experiment fails?▼

Yes, you can roll back audit patterns because the process snapshots and restores previous states from the session history, supporting safe experimentation with your noise filters and success patterns.

How do I create a GitHub issue for generic ShipGuard improvements directly from an audit session?▼

You can create a GitHub issue for generic improvements by running the improvement cycle after an audit or visual-session, which captures generic GitHub improvements alongside local learnings.

Does this feedback-loop approach work without external dependencies?▼

Yes, the feedback-loop approach works without external dependencies, consolidating local zone hints, audit hints, noise filters, and success patterns directly into the project repository.

When should I not use an automated learning aggregation approach?▼

You should not use automated learning aggregation when you lack prior audit or visual-run session data, as the mechanism requires existing insights to consolidate into actionable memory and GitHub issues.